GeoServer Web Map Tile Service A compliant implementation of WMTS service. OGC WMTS 1.0.0 NONE NONE http://geoserver.org/com KVP KVP KVP KVP KVP KVP KVP Landuse Suitability in Somalia Landusesuitability assessment is the process of estimating the potential of land for alternative kinds of landuse. SWALIM has undertaken detailed land suitability studies and produced a set of land suitability datafor different land usesin Somalia. 40.989507685000035 -1.652780052999958 51.41412686700005 11.988650282000037 geonode:som_landuse_suitability_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16534 20114 21063 16 30569 33068 40229 42127 17 61138 66137 80459 84255 18 122277 132275 160919 168510 19 244555 264551 321839 337021 20 489110 529102 643678 674042 21 978221 1058205 1287357 1348084 22 1956443 2116410 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4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15284 16534 20114 21063 EPSG:900913:16 30569 33068 40229 42127 EPSG:900913:17 61138 66137 80459 84255 EPSG:900913:18 122277 132275 160919 168510 EPSG:900913:19 244555 264551 321839 337021 EPSG:900913:20 489110 529102 643678 674042 EPSG:900913:21 978221 1058205 1287357 1348084 EPSG:900913:22 1956443 2116410 2574714 2696169 EPSG:900913:23 3912887 4232821 5149428 5392339 EPSG:900913:24 7825774 8465643 10298857 10784679 EPSG:900913:25 15651548 16931287 20597715 21569359 EPSG:900913:26 31303097 33862575 41195430 43138719 EPSG:900913:27 62606194 67725150 82390860 86277439 EPSG:900913:28 125212388 135450301 164781720 172554879 EPSG:900913:29 250424777 270900602 329563440 345109759 EPSG:900913:30 500849554 541801204 659126880 690219518 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8342 20114 21063 EPSG:4326x2:15 14201 16684 40229 42127 EPSG:4326x2:16 28403 33369 80459 84255 EPSG:4326x2:17 56806 66739 160919 168510 EPSG:4326x2:18 113612 133479 321839 337021 EPSG:4326x2:19 227224 266958 643678 674042 EPSG:4326x2:20 454449 533916 1287357 1348084 EPSG:4326x2:21 908898 1067832 2574714 2696169 Charcoal Sites (2011-2013) The dataset shows the dynamics of charcoal production in Somalia from 2011 to 2013.Multi-temporal dataset of very high-resolution remote sensing images such as WorldView-1, 2 and 3 were used to map kiln locations in the study area. The acquisition dates of the images range from 2011 to 2013. Charcoal production sites can be seen on satellite images as dark round/ almost round patches. Many small tracks/ paths are a common feature at these sites. They are used for access and transport. The average radius of the kilns is 3.3m but some are as big as 6m in radius.Multi temporal analysis of vhr images reveals a tremendous increase of charcoal sites over the years. 41.17737620500003 -1.295922628999961 43.152011532000074 1.370093332000067 geonode:ch_2011_20130 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 78 79 8 127 128 157 158 9 254 257 314 317 10 508 515 629 634 11 1016 1031 1258 1269 12 2032 2062 2516 2538 13 4064 4125 5033 5077 14 8129 8250 10066 10155 15 16259 16501 20132 20311 16 32518 33003 40264 40623 17 65037 66007 80528 81247 18 130074 132015 161056 162494 19 260148 264031 322112 324988 20 520296 528062 644225 649977 21 1040593 1056125 1288451 1299954 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EPSG:900913x2:19 260148 264031 322112 324988 EPSG:900913x2:20 520296 528062 644225 649977 EPSG:900913x2:21 1040593 1056125 1288451 1299954 EPSG:900913x2:22 2081187 2112251 2576903 2599909 EPSG:900913x2:23 4162375 4224503 5153806 5199818 EPSG:900913x2:24 8324750 8449007 10307612 10399637 EPSG:900913x2:25 16649501 16898015 20615225 20799274 EPSG:900913x2:26 33299003 33796030 41230451 41598549 EPSG:900913x2:27 66598007 67592060 82460902 83197099 EPSG:900913x2:28 133196014 135184120 164921805 166394199 EPSG:900913x2:29 266392029 270368240 329843610 332788399 EPSG:900913x2:30 532784059 540736481 659687220 665576799 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 78 79 EPSG:4326x2:7 63 64 157 158 EPSG:4326x2:8 126 129 314 317 EPSG:4326x2:9 252 259 629 634 EPSG:4326x2:10 504 519 1258 1269 EPSG:4326x2:11 1008 1038 2516 2538 EPSG:4326x2:12 2016 2077 5033 5077 EPSG:4326x2:13 4033 4154 10066 10155 EPSG:4326x2:14 8067 8309 20132 20311 EPSG:4326x2:15 16134 16619 40264 40623 EPSG:4326x2:16 32269 33239 80528 81247 EPSG:4326x2:17 64538 66479 161056 162494 EPSG:4326x2:18 129076 132959 322112 324988 EPSG:4326x2:19 258153 265918 644225 649977 EPSG:4326x2:20 516306 531837 1288451 1299954 EPSG:4326x2:21 1032613 1063674 2576903 2599909 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 78 79 EPSG:900913:8 127 128 157 158 EPSG:900913:9 254 257 314 317 EPSG:900913:10 508 515 629 634 EPSG:900913:11 1016 1031 1258 1269 EPSG:900913:12 2032 2062 2516 2538 EPSG:900913:13 4064 4125 5033 5077 EPSG:900913:14 8129 8250 10066 10155 EPSG:900913:15 16259 16501 20132 20311 EPSG:900913:16 32518 33003 40264 40623 EPSG:900913:17 65037 66007 80528 81247 EPSG:900913:18 130074 132015 161056 162494 EPSG:900913:19 260148 264031 322112 324988 EPSG:900913:20 520296 528062 644225 649977 EPSG:900913:21 1040593 1056125 1288451 1299954 EPSG:900913:22 2081187 2112251 2576903 2599909 EPSG:900913:23 4162375 4224503 5153806 5199818 EPSG:900913:24 8324750 8449007 10307612 10399637 EPSG:900913:25 16649501 16898015 20615225 20799274 EPSG:900913:26 33299003 33796030 41230451 41598549 EPSG:900913:27 66598007 67592060 82460902 83197099 EPSG:900913:28 133196014 135184120 164921805 166394199 EPSG:900913:29 266392029 270368240 329843610 332788399 EPSG:900913:30 532784059 540736481 659687220 665576799 Tomato Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_tomato_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 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EPSG:900913x2:8 126 126 159 160 EPSG:900913x2:9 252 253 319 320 EPSG:900913x2:10 505 507 638 640 EPSG:900913x2:11 1011 1014 1277 1280 EPSG:900913x2:12 2023 2028 2555 2561 EPSG:900913x2:13 4046 4056 5111 5123 EPSG:900913x2:14 8092 8113 10223 10247 EPSG:900913x2:15 16184 16226 20447 20495 EPSG:900913x2:16 32369 32453 40895 40990 EPSG:900913x2:17 64738 64907 81791 81980 EPSG:900913x2:18 129477 129815 163582 163961 EPSG:900913x2:19 258955 259630 327165 327922 EPSG:900913x2:20 517910 519261 654330 655844 EPSG:900913x2:21 1035821 1038523 1308660 1311688 EPSG:900913x2:22 2071643 2077046 2617320 2623376 EPSG:900913x2:23 4143286 4154093 5234640 5246752 EPSG:900913x2:24 8286572 8308186 10469281 10493505 EPSG:900913x2:25 16573145 16616372 20938563 20987011 EPSG:900913x2:26 33146290 33232744 41877127 41974023 EPSG:900913x2:27 66292581 66465489 83754254 83948047 EPSG:900913x2:28 132585163 132930978 167508508 167896095 EPSG:900913x2:29 265170327 265861956 335017016 335792191 EPSG:900913x2:30 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159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Salty Ground Water Sources This data contains areas with Salty ground water 45.90456756800006 3.301845846000049 48.66227248700005 6.605074081000055 geonode:salty_ground_water_sources other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 30 31 40 40 7 61 62 80 81 8 123 125 160 162 9 246 251 321 325 10 493 502 642 650 11 986 1005 1285 1300 12 1972 2010 2570 2601 13 3945 4020 5140 5203 14 7890 8041 10281 10406 15 15781 16083 20562 20813 16 31562 32166 41124 41626 17 63125 64333 82249 83253 18 126251 128666 164498 166506 19 252503 257332 328997 333013 20 505006 514665 657994 666027 21 1010013 1029330 1315989 1332054 22 2020026 2058661 2631978 2664108 23 4040052 4117322 5263957 5328217 24 8080105 8234645 10527915 10656434 EPSG:3857x2 0 0 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2631978 2664108 EPSG:900913:23 4040052 4117322 5263957 5328217 EPSG:900913:24 8080105 8234645 10527915 10656434 EPSG:900913:25 16160210 16469291 21055831 21312868 EPSG:900913:26 32320420 32938582 42111663 42625737 EPSG:900913:27 64640841 65877164 84223327 85251474 EPSG:900913:28 129281682 131754329 168446654 170502948 EPSG:900913:29 258563365 263508658 336893308 341005896 EPSG:900913:30 517126730 527017317 673786617 682011793 Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2018 A total of 68 Open points were identified, 41 along Juba River and 27 along Shabelle River. Several other points, which are either potential ; 401 or temporarily closed with sandbags ;64 were also identified. 42.06818600000008 -0.070969999999988 45.677561622644134 4.854544026805797 geonode:shabelle_juba_river_breakages_feb_2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15941 16390 20213 20541 16 31883 32780 40426 41083 17 63766 65561 80852 82166 18 127532 131123 161705 164333 19 255065 262247 323410 328666 20 510131 524494 646820 657333 21 1020262 1048989 1293640 1314667 22 2040524 2097978 2587281 2629334 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EPSG:4326x2:14 7750 8198 20213 20541 EPSG:4326x2:15 15500 16396 40426 41083 EPSG:4326x2:16 31000 32793 80852 82166 EPSG:4326x2:17 62001 65587 161705 164333 EPSG:4326x2:18 124002 131175 323410 328666 EPSG:4326x2:19 248004 262350 646820 657333 EPSG:4326x2:20 496008 524701 1293640 1314667 EPSG:4326x2:21 992016 1049402 2587281 2629334 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3985 4097 5053 5135 EPSG:900913:14 7970 8195 10106 10270 EPSG:900913:15 15941 16390 20213 20541 EPSG:900913:16 31883 32780 40426 41083 EPSG:900913:17 63766 65561 80852 82166 EPSG:900913:18 127532 131123 161705 164333 EPSG:900913:19 255065 262247 323410 328666 EPSG:900913:20 510131 524494 646820 657333 EPSG:900913:21 1020262 1048989 1293640 1314667 EPSG:900913:22 2040524 2097978 2587281 2629334 EPSG:900913:23 4081049 4195957 5174563 5258668 EPSG:900913:24 8162098 8391915 10349127 10517336 EPSG:900913:25 16324197 16783830 20698255 21034673 EPSG:900913:26 32648394 33567661 41396510 42069346 EPSG:900913:27 65296789 67135323 82793020 84138693 EPSG:900913:28 130593578 134270647 165586041 168277386 EPSG:900913:29 261187157 268541294 331172082 336554773 EPSG:900913:30 522374315 537082588 662344164 673109546 Strategic Water Sources - December 2022 40.995668 -1.1400615 51.2722594 11.42396 geonode:strategic_water_sources_20225 other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 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EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 239 257 314 328 EPSG:900913:10 479 515 628 657 EPSG:900913:11 958 1030 1257 1315 EPSG:900913:12 1917 2060 2514 2631 EPSG:900913:13 3834 4121 5028 5262 EPSG:900913:14 7668 8243 10057 10525 EPSG:900913:15 15337 16487 20115 21050 EPSG:900913:16 30674 32975 40231 42101 EPSG:900913:17 61348 65951 80462 84203 EPSG:900913:18 122697 131902 160924 168407 EPSG:900913:19 245395 263804 321848 336814 EPSG:900913:20 490790 527608 643696 673629 EPSG:900913:21 981581 1055217 1287393 1347258 EPSG:900913:22 1963162 2110435 2574786 2694517 EPSG:900913:23 3926324 4220871 5149572 5389034 EPSG:900913:24 7852649 8441742 10299144 10778068 EPSG:900913:25 15705299 16883484 20598289 21556136 EPSG:900913:26 31410599 33766968 41196578 43112273 EPSG:900913:27 62821199 67533937 82393156 86224547 EPSG:900913:28 125642398 135067875 164786313 172449095 EPSG:900913:29 251284796 270135751 329572627 344898191 EPSG:900913:30 502569592 540271502 659145254 689796382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 111 129 314 328 EPSG:4326x2:9 223 259 628 657 EPSG:4326x2:10 447 518 1257 1315 EPSG:4326x2:11 894 1036 2514 2631 EPSG:4326x2:12 1788 2073 5028 5262 EPSG:4326x2:13 3576 4147 10057 10525 EPSG:4326x2:14 7152 8295 20115 21050 EPSG:4326x2:15 14304 16591 40231 42101 EPSG:4326x2:16 28608 33183 80462 84203 EPSG:4326x2:17 57217 66366 160924 168407 EPSG:4326x2:18 114434 132732 321848 336814 EPSG:4326x2:19 228869 265464 643696 673629 EPSG:4326x2:20 457738 530929 1287393 1347258 EPSG:4326x2:21 915477 1061858 2574786 2694517 Mango Suitability - Somalia (1:1500000) This dataset presents the suitability classification for mango production across Somalia based on soil, climate and terrain conditions. The analysis integrates soil characteristics, climatic variables, and topographic parameters to identify areas suitable for mango cultivation under both rainfed and irrigated conditions. The output provides spatial distribution of suitability classes to support agricultural planning and crop development. 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_mango_suit_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 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EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Somalia Coastal Mask Somalia coast mask at a scale of 1:250,000 40.47221972800003 -4.98693925799995 52.47144750700005 13.521183288000032 geonode:somalia_coastal_mask other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 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62020349 68970481 82198001 86671637 EPSG:900913:28 124040698 137940963 164396002 173343275 EPSG:900913:29 248081396 275881926 328792004 346686550 EPSG:900913:30 496162792 551763853 657584009 693373100 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 33 78 82 EPSG:4326x2:7 54 67 156 165 EPSG:4326x2:8 108 135 313 330 EPSG:4326x2:9 217 270 627 661 EPSG:4326x2:10 435 540 1254 1322 EPSG:4326x2:11 870 1080 2508 2645 EPSG:4326x2:12 1740 2161 5016 5290 EPSG:4326x2:13 3480 4322 10033 10580 EPSG:4326x2:14 6961 8645 20067 21160 EPSG:4326x2:15 13922 17291 40135 42320 EPSG:4326x2:16 27845 34583 80271 84640 EPSG:4326x2:17 55690 69167 160542 169280 EPSG:4326x2:18 111380 138334 321085 338561 EPSG:4326x2:19 222760 276669 642171 677122 EPSG:4326x2:20 445521 553339 1284343 1354244 EPSG:4326x2:21 891042 1106678 2568687 2708488 Franckincense Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for franckincense cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for franckincense production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with land-use requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data, where only 71 out of 318 land units are covered by existing soil profiles, SoilGrids machine learning-derived data was used to fill spatial gaps and complete the national coverage The evaluation considered: Climate factors (temperature, rainfall, wind) Soil properties (texture, depth, salinity, fertility, drainage, organic carbon) Terrain characteristics (slope, elevation, aspect, erosion risk) Hydrological conditions (flooding risk, permeability, drainage) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was performed considering the ecological requirements of franckincense, including its adaptation to arid and semi-arid environments and dryland conditions Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_franckincense_suit_v3 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Citrus Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_citrus_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 31 31 79 80 EPSG:4326:7 62 62 159 160 EPSG:4326:8 124 125 319 320 EPSG:4326:9 249 251 638 640 EPSG:4326:10 499 502 1277 1280 EPSG:4326:11 999 1004 2555 2561 EPSG:4326:12 1998 2008 5111 5123 EPSG:4326:13 3996 4017 10223 10247 EPSG:4326:14 7992 8034 20447 20495 EPSG:4326:15 15985 16069 40895 40990 EPSG:4326:16 31971 32139 81791 81980 EPSG:4326:17 63942 64279 163582 163961 EPSG:4326:18 127884 128559 327165 327922 EPSG:4326:19 255768 257118 654330 655844 EPSG:4326:20 511536 514236 1308660 1311688 EPSG:4326:21 1023073 1028473 2617320 2623376 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 63 63 79 80 EPSG:900913x2:8 126 126 159 160 EPSG:900913x2:9 252 253 319 320 EPSG:900913x2:10 505 507 638 640 EPSG:900913x2:11 1011 1014 1277 1280 EPSG:900913x2:12 2023 2028 2555 2561 EPSG:900913x2:13 4046 4056 5111 5123 EPSG:900913x2:14 8092 8113 10223 10247 EPSG:900913x2:15 16184 16226 20447 20495 EPSG:900913x2:16 32369 32453 40895 40990 EPSG:900913x2:17 64738 64907 81791 81980 EPSG:900913x2:18 129477 129815 163582 163961 EPSG:900913x2:19 258955 259630 327165 327922 EPSG:900913x2:20 517910 519261 654330 655844 EPSG:900913x2:21 1035821 1038523 1308660 1311688 EPSG:900913x2:22 2071643 2077046 2617320 2623376 EPSG:900913x2:23 4143286 4154093 5234640 5246752 EPSG:900913x2:24 8286572 8308186 10469281 10493505 EPSG:900913x2:25 16573145 16616372 20938563 20987011 EPSG:900913x2:26 33146290 33232744 41877127 41974023 EPSG:900913x2:27 66292581 66465489 83754254 83948047 EPSG:900913x2:28 132585163 132930978 167508508 167896095 EPSG:900913x2:29 265170327 265861956 335017016 335792191 EPSG:900913x2:30 530340655 531723912 670034032 671584382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 31 31 79 80 EPSG:4326x2:7 62 62 159 160 EPSG:4326x2:8 124 125 319 320 EPSG:4326x2:9 249 251 638 640 EPSG:4326x2:10 499 502 1277 1280 EPSG:4326x2:11 999 1004 2555 2561 EPSG:4326x2:12 1998 2008 5111 5123 EPSG:4326x2:13 3996 4017 10223 10247 EPSG:4326x2:14 7992 8034 20447 20495 EPSG:4326x2:15 15985 16069 40895 40990 EPSG:4326x2:16 31971 32139 81791 81980 EPSG:4326x2:17 63942 64279 163582 163961 EPSG:4326x2:18 127884 128559 327165 327922 EPSG:4326x2:19 255768 257118 654330 655844 EPSG:4326x2:20 511536 514236 1308660 1311688 EPSG:4326x2:21 1023073 1028473 2617320 2623376 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Mango Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye__mango_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 31 31 79 80 EPSG:4326:7 62 62 159 160 EPSG:4326:8 124 125 319 320 EPSG:4326:9 249 251 638 640 EPSG:4326:10 499 502 1277 1280 EPSG:4326:11 999 1004 2555 2561 EPSG:4326:12 1998 2008 5111 5123 EPSG:4326:13 3996 4017 10223 10247 EPSG:4326:14 7992 8034 20447 20495 EPSG:4326:15 15985 16069 40895 40990 EPSG:4326:16 31971 32139 81791 81980 EPSG:4326:17 63942 64279 163582 163961 EPSG:4326:18 127884 128559 327165 327922 EPSG:4326:19 255768 257118 654330 655844 EPSG:4326:20 511536 514236 1308660 1311688 EPSG:4326:21 1023073 1028473 2617320 2623376 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 63 63 79 80 EPSG:900913x2:8 126 126 159 160 EPSG:900913x2:9 252 253 319 320 EPSG:900913x2:10 505 507 638 640 EPSG:900913x2:11 1011 1014 1277 1280 EPSG:900913x2:12 2023 2028 2555 2561 EPSG:900913x2:13 4046 4056 5111 5123 EPSG:900913x2:14 8092 8113 10223 10247 EPSG:900913x2:15 16184 16226 20447 20495 EPSG:900913x2:16 32369 32453 40895 40990 EPSG:900913x2:17 64738 64907 81791 81980 EPSG:900913x2:18 129477 129815 163582 163961 EPSG:900913x2:19 258955 259630 327165 327922 EPSG:900913x2:20 517910 519261 654330 655844 EPSG:900913x2:21 1035821 1038523 1308660 1311688 EPSG:900913x2:22 2071643 2077046 2617320 2623376 EPSG:900913x2:23 4143286 4154093 5234640 5246752 EPSG:900913x2:24 8286572 8308186 10469281 10493505 EPSG:900913x2:25 16573145 16616372 20938563 20987011 EPSG:900913x2:26 33146290 33232744 41877127 41974023 EPSG:900913x2:27 66292581 66465489 83754254 83948047 EPSG:900913x2:28 132585163 132930978 167508508 167896095 EPSG:900913x2:29 265170327 265861956 335017016 335792191 EPSG:900913x2:30 530340655 531723912 670034032 671584382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 31 31 79 80 EPSG:4326x2:7 62 62 159 160 EPSG:4326x2:8 124 125 319 320 EPSG:4326x2:9 249 251 638 640 EPSG:4326x2:10 499 502 1277 1280 EPSG:4326x2:11 999 1004 2555 2561 EPSG:4326x2:12 1998 2008 5111 5123 EPSG:4326x2:13 3996 4017 10223 10247 EPSG:4326x2:14 7992 8034 20447 20495 EPSG:4326x2:15 15985 16069 40895 40990 EPSG:4326x2:16 31971 32139 81791 81980 EPSG:4326x2:17 63942 64279 163582 163961 EPSG:4326x2:18 127884 128559 327165 327922 EPSG:4326x2:19 255768 257118 654330 655844 EPSG:4326x2:20 511536 514236 1308660 1311688 EPSG:4326x2:21 1023073 1028473 2617320 2623376 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Dec - Feb Aggregated mean seasonal groundwater storage balance (2003-2024) Mean seasonal distribution of groundwater storage balance across Somalia for the period 2003–2024 for Dec-Feb. The seasonal evolution of the groundwater storage balance closely follows the country's climatic patterns. During the dry seasons (Jilaal and Xagaa), the groundwater storage balance is generally negative, particularly in the central and southern regions. This is consistent with the low precipitation observed in the same months. Notably, the lower courses of the Shabelle and Jubba rivers exhibit strong negative balances between June and August, which may suggest that groundwater is sustaining baseflow during the dry period. In contrast, the Gu season leads to significant improvements in groundwater storage balance across southern and central Somalia, where the southwest monsoon brings the heaviest rainfall. However, the northeastern coast maintains a neutral to slightly negative balance, due to relatively lower precipitation. During Deyr, groundwater storage balance starts to recover in the central and southern areas, likely driven by river recharge and increased infiltration from the rainfall of this shorter rainy season. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanseasonalgroundwate other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 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2639 EPSG:900913:13 3809 4147 5017 5279 EPSG:900913:14 7618 8294 10035 10558 EPSG:900913:15 15237 16588 20070 21117 EPSG:900913:16 30474 33177 40140 42234 EPSG:900913:17 60948 66355 80281 84468 EPSG:900913:18 121896 132710 160563 168937 EPSG:900913:19 243793 265421 321126 337874 EPSG:900913:20 487586 530843 642252 675748 EPSG:900913:21 975173 1061686 1284505 1351497 EPSG:900913:22 1950347 2123373 2569011 2702995 EPSG:900913:23 3900694 4246746 5138022 5405991 EPSG:900913:24 7801388 8493492 10276044 10811983 EPSG:900913:25 15602777 16986985 20552089 21623967 EPSG:900913:26 31205555 33973970 41104179 43247934 EPSG:900913:27 62411110 67947940 82208358 86495869 EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Landcover North West Somalia 2007 Land cover classes were created using the Land Cover Classification System (LCSS) of FAO, Landsat satellite image interpretation, and field validation. 43.011011490000044 9.16651315200005 44.46210397400006 10.689748205000058 geonode:landcover_nw_2007 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299133 1307586 22 1971878 1989895 2598266 2615173 23 3943757 3979791 5196533 5230346 24 7887514 7959583 10393066 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 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EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299133 1307586 EPSG:900913x2:22 1971878 1989895 2598266 2615173 EPSG:900913x2:23 3943757 3979791 5196533 5230346 EPSG:900913x2:24 7887514 7959583 10393066 10460692 EPSG:900913x2:25 15775028 15919166 20786132 20921384 EPSG:900913x2:26 31550056 31838333 41572265 41842768 EPSG:900913x2:27 63100112 63676667 83144531 83685537 EPSG:900913x2:28 126200224 127353334 166289062 167371075 EPSG:900913x2:29 252400449 254706669 332578125 334742151 EPSG:900913x2:30 504800899 509413338 665156250 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299133 1307586 EPSG:4326x2:21 924031 941778 2598266 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299133 1307586 EPSG:900913:22 1971878 1989895 2598266 2615173 EPSG:900913:23 3943757 3979791 5196533 5230346 EPSG:900913:24 7887514 7959583 10393066 10460692 EPSG:900913:25 15775028 15919166 20786132 20921384 EPSG:900913:26 31550056 31838333 41572265 41842768 EPSG:900913:27 63100112 63676667 83144531 83685537 EPSG:900913:28 126200224 127353334 166289062 167371075 EPSG:900913:29 252400449 254706669 332578125 334742151 EPSG:900913:30 504800899 509413338 665156250 669484302 Mean Annual Groundwater Storage Balance - Annual This dataset provides the annual mean groundwater storage anomaly balance for each year between 2003-2024 over Somalia, at a spatial resolution of 0.25° × 0.25°. Groundwater Storage Anomalies are estimated using observations from the GRACE and GRACE-FO satellite missions, which detect variations in the Earth’s gravitational field caused by changes in water mass. These gravity variations are used to derive Terrestrial Water Storage Anomalies (TWA). To isolate the groundwater component from TWA, the contributions of other hydrological components—such as snow water equivalent, soil moisture, and canopy water—are removed. These components are estimated using output data from three Global Land Data Assimilation System (GLDAS) land surface models. Three independent GWSA estimates are produced from the three GLDAS models and subsequently combined into an ensemble. The groundwater storage anomalies and the derived products were calculated on a monthly basis and then aggregated into annual values (mm/year). 40.5 -2.25 52.0 12.5 geonode:GRE other other other other other text/xml other other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 1061686 1284505 1351497 22 1950347 2123373 2569011 2702995 23 3900694 4246746 5138022 5405991 24 7801388 8493492 10276044 10811983 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 1061686 1284505 1351497 22 1950347 2123373 2569011 2702995 23 3900694 4246746 5138022 5405991 24 7801388 8493492 10276044 10811983 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 156 164 EPSG:4326:8 110 131 313 329 EPSG:4326:9 220 262 627 659 EPSG:4326:10 440 524 1254 1319 EPSG:4326:11 881 1049 2508 2639 EPSG:4326:12 1763 2099 5017 5279 EPSG:4326:13 3527 4198 10035 10558 EPSG:4326:14 7054 8396 20070 21117 EPSG:4326:15 14108 16793 40140 42234 EPSG:4326:16 28216 33587 80281 84468 EPSG:4326:17 56433 67174 160563 168937 EPSG:4326:18 112867 134348 321126 337874 EPSG:4326:19 225735 268697 642252 675748 EPSG:4326:20 451470 537395 1284505 1351497 EPSG:4326:21 902940 1074790 2569011 2702995 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 156 164 EPSG:900913x2:9 238 259 313 329 EPSG:900913x2:10 476 518 627 659 EPSG:900913x2:11 952 1036 1254 1319 EPSG:900913x2:12 1904 2073 2508 2639 EPSG:900913x2:13 3809 4147 5017 5279 EPSG:900913x2:14 7618 8294 10035 10558 EPSG:900913x2:15 15237 16588 20070 21117 EPSG:900913x2:16 30474 33177 40140 42234 EPSG:900913x2:17 60948 66355 80281 84468 EPSG:900913x2:18 121896 132710 160563 168937 EPSG:900913x2:19 243793 265421 321126 337874 EPSG:900913x2:20 487586 530843 642252 675748 EPSG:900913x2:21 975173 1061686 1284505 1351497 EPSG:900913x2:22 1950347 2123373 2569011 2702995 EPSG:900913x2:23 3900694 4246746 5138022 5405991 EPSG:900913x2:24 7801388 8493492 10276044 10811983 EPSG:900913x2:25 15602777 16986985 20552089 21623967 EPSG:900913x2:26 31205555 33973970 41104179 43247934 EPSG:900913x2:27 62411110 67947940 82208358 86495869 EPSG:900913x2:28 124822221 135895880 164416716 172991738 EPSG:900913x2:29 249644443 271791761 328833433 345983476 EPSG:900913x2:30 499288886 543583523 657666867 691966953 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 156 164 EPSG:900913:9 238 259 313 329 EPSG:900913:10 476 518 627 659 EPSG:900913:11 952 1036 1254 1319 EPSG:900913:12 1904 2073 2508 2639 EPSG:900913:13 3809 4147 5017 5279 EPSG:900913:14 7618 8294 10035 10558 EPSG:900913:15 15237 16588 20070 21117 EPSG:900913:16 30474 33177 40140 42234 EPSG:900913:17 60948 66355 80281 84468 EPSG:900913:18 121896 132710 160563 168937 EPSG:900913:19 243793 265421 321126 337874 EPSG:900913:20 487586 530843 642252 675748 EPSG:900913:21 975173 1061686 1284505 1351497 EPSG:900913:22 1950347 2123373 2569011 2702995 EPSG:900913:23 3900694 4246746 5138022 5405991 EPSG:900913:24 7801388 8493492 10276044 10811983 EPSG:900913:25 15602777 16986985 20552089 21623967 EPSG:900913:26 31205555 33973970 41104179 43247934 EPSG:900913:27 62411110 67947940 82208358 86495869 EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 time 2024-01-01T00:00:00Z 2003-01-01T00:00:00.000Z 2004-01-01T00:00:00.000Z 2005-01-01T00:00:00.000Z 2006-01-01T00:00:00.000Z 2007-01-01T00:00:00.000Z 2008-01-01T00:00:00.000Z 2009-01-01T00:00:00.000Z 2010-01-01T00:00:00.000Z 2011-01-01T00:00:00.000Z 2012-01-01T00:00:00.000Z 2013-01-01T00:00:00.000Z 2014-01-01T00:00:00.000Z 2015-01-01T00:00:00.000Z 2016-01-01T00:00:00.000Z 2017-01-01T00:00:00.000Z 2018-01-01T00:00:00.000Z 2019-01-01T00:00:00.000Z 2020-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z 2022-01-01T00:00:00.000Z 2023-01-01T00:00:00.000Z 2024-01-01T00:00:00.000Z Somalia River Barrage Bridge_FAOSWALIM Data is collected and compiled by FAO Somalia Water and Land Information Management (SWALIM)In recent years, there have been several intervention activities going on in the irrigation sector in southern Somalia, mainly aiming to rehabilitate broken down barrages and clogged irrigation canals. To support these interventions, SWALIM has developed a well-structured tool, for collecting and managing past and present information on the irrigation infrastructure: the Irrigation Information Management System (IIMS), a stand-alone PC system which is available upon request. The IIMS provides information (both spatial and tabular) on ongoing and planned irrigation projects. It gives users of irrigation data a platform to discover what is available, querry the system for specific datasets and download data in different formats, such as .pdf documents, maps, spreadsheets, etc. 42.28145333500004 0.748955086000024 45.596844616000055 4.73541652800003 geonode:som_river_barrage_bridge_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 249 254 316 320 10 498 509 632 641 11 997 1019 1264 1283 12 1994 2039 2529 2566 13 3988 4078 5058 5133 14 7976 8157 10116 10267 15 15952 16315 20232 20534 16 31904 32631 40465 41068 17 63809 65263 80930 82137 18 127619 130526 161860 164274 19 255239 261053 323720 328549 20 510479 522106 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EPSG:900913:12 1994 2039 2529 2566 EPSG:900913:13 3988 4078 5058 5133 EPSG:900913:14 7976 8157 10116 10267 EPSG:900913:15 15952 16315 20232 20534 EPSG:900913:16 31904 32631 40465 41068 EPSG:900913:17 63809 65263 80930 82137 EPSG:900913:18 127619 130526 161860 164274 EPSG:900913:19 255239 261053 323720 328549 EPSG:900913:20 510479 522106 647441 657098 EPSG:900913:21 1020958 1044212 1294883 1314196 EPSG:900913:22 2041917 2088425 2589766 2628393 EPSG:900913:23 4083834 4176851 5179533 5256787 EPSG:900913:24 8167669 8353703 10359066 10513574 EPSG:900913:25 16335339 16707406 20718133 21027149 EPSG:900913:26 32670679 33414812 41436266 42054299 EPSG:900913:27 65341359 66829625 82872532 84108599 EPSG:900913:28 130682718 133659250 165745064 168217199 EPSG:900913:29 261365437 267318501 331490129 336434399 EPSG:900913:30 522730874 534637002 662980258 672868798 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 31 79 80 EPSG:4326x2:7 60 63 158 160 EPSG:4326x2:8 121 126 316 320 EPSG:4326x2:9 242 253 632 641 EPSG:4326x2:10 485 507 1264 1283 EPSG:4326x2:11 970 1015 2529 2566 EPSG:4326x2:12 1940 2030 5058 5133 EPSG:4326x2:13 3880 4061 10116 10267 EPSG:4326x2:14 7760 8123 20232 20534 EPSG:4326x2:15 15521 16247 40465 41068 EPSG:4326x2:16 31043 32495 80930 82137 EPSG:4326x2:17 62087 64990 161860 164274 EPSG:4326x2:18 124175 129981 323720 328549 EPSG:4326x2:19 248351 259962 647441 657098 EPSG:4326x2:20 496702 519925 1294883 1314196 EPSG:4326x2:21 993404 1039850 2589766 2628393 Charcoal Production Sites in Jilib_Somalia The data of charcoal production sites in Jilib - Somalia is produced by Somalia Water and Land Information Management (SWALIM) project. Very high resolution satelite images of 2011 - 2013 were used for mapping the charcoal production sites. 42.860742482000035 0.520925274000035 42.87975531400008 0.532836479000025 geonode:som_jilib_charcoal_production_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 63 63 79 79 8 127 127 158 158 9 255 255 316 316 10 510 510 633 633 11 1020 1021 1267 1267 12 2041 2042 2535 2535 13 4083 4084 5071 5071 14 8167 8168 10142 10143 15 16335 16336 20285 20287 16 32670 32673 40570 40574 17 65341 65346 81141 81148 18 130683 130692 162282 162296 19 261367 261385 324564 324592 20 522735 522770 649128 649184 21 1045471 1045541 1298257 1298368 22 2090943 2091082 2596515 2596737 23 4181887 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324592 EPSG:900913x2:20 522735 522770 649128 649184 EPSG:900913x2:21 1045471 1045541 1298257 1298368 EPSG:900913x2:22 2090943 2091082 2596515 2596737 EPSG:900913x2:23 4181887 4182165 5193031 5193474 EPSG:900913x2:24 8363775 8364330 10386063 10386949 EPSG:900913x2:25 16727551 16728661 20772126 20773898 EPSG:900913x2:26 33455102 33457323 41544253 41547797 EPSG:900913x2:27 66910205 66914646 83088506 83095595 EPSG:900913x2:28 133820410 133829292 166177013 166191190 EPSG:900913x2:29 267640821 267658585 332354027 332382381 EPSG:900913x2:30 535281642 535317170 664708055 664764763 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 15 15 39 39 EPSG:4326x2:6 31 31 79 79 EPSG:4326x2:7 63 63 158 158 EPSG:4326x2:8 127 127 316 316 EPSG:4326x2:9 254 254 633 633 EPSG:4326x2:10 508 509 1267 1267 EPSG:4326x2:11 1017 1018 2535 2535 EPSG:4326x2:12 2035 2036 5071 5071 EPSG:4326x2:13 4071 4072 10142 10143 EPSG:4326x2:14 8143 8144 20285 20287 EPSG:4326x2:15 16287 16289 40570 40574 EPSG:4326x2:16 32574 32578 81141 81148 EPSG:4326x2:17 65148 65156 162282 162296 EPSG:4326x2:18 130296 130313 324564 324592 EPSG:4326x2:19 260592 260626 649128 649184 EPSG:4326x2:20 521184 521253 1298257 1298368 EPSG:4326x2:21 1042368 1042506 2596515 2596737 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 31 31 39 39 EPSG:900913:7 63 63 79 79 EPSG:900913:8 127 127 158 158 EPSG:900913:9 255 255 316 316 EPSG:900913:10 510 510 633 633 EPSG:900913:11 1020 1021 1267 1267 EPSG:900913:12 2041 2042 2535 2535 EPSG:900913:13 4083 4084 5071 5071 EPSG:900913:14 8167 8168 10142 10143 EPSG:900913:15 16335 16336 20285 20287 EPSG:900913:16 32670 32673 40570 40574 EPSG:900913:17 65341 65346 81141 81148 EPSG:900913:18 130683 130692 162282 162296 EPSG:900913:19 261367 261385 324564 324592 EPSG:900913:20 522735 522770 649128 649184 EPSG:900913:21 1045471 1045541 1298257 1298368 EPSG:900913:22 2090943 2091082 2596515 2596737 EPSG:900913:23 4181887 4182165 5193031 5193474 EPSG:900913:24 8363775 8364330 10386063 10386949 EPSG:900913:25 16727551 16728661 20772126 20773898 EPSG:900913:26 33455102 33457323 41544253 41547797 EPSG:900913:27 66910205 66914646 83088506 83095595 EPSG:900913:28 133820410 133829292 166177013 166191190 EPSG:900913:29 267640821 267658585 332354027 332382381 EPSG:900913:30 535281642 535317170 664708055 664764763 Sorghum Suitability - Belet Weyne(1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_sorghum_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 2621470 2624774 23 4077471 4087034 5242940 5249548 24 8154942 8174069 10485880 10499097 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 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EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 523140462 671096367 671942269 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 62 80 80 EPSG:900913:8 124 124 160 160 EPSG:900913:9 248 249 320 320 EPSG:900913:10 497 498 640 640 EPSG:900913:11 995 997 1280 1281 EPSG:900913:12 1990 1995 2560 2563 EPSG:900913:13 3981 3991 5120 5126 EPSG:900913:14 7963 7982 10240 10253 EPSG:900913:15 15927 15964 20480 20506 EPSG:900913:16 31855 31929 40960 41012 EPSG:900913:17 63710 63859 81920 82024 EPSG:900913:18 127420 127719 163841 164048 EPSG:900913:19 254841 255439 327683 328096 EPSG:900913:20 509683 510879 655367 656193 EPSG:900913:21 1019367 1021758 1310735 1312387 EPSG:900913:22 2038735 2043517 2621470 2624774 EPSG:900913:23 4077471 4087034 5242940 5249548 EPSG:900913:24 8154942 8174069 10485880 10499097 EPSG:900913:25 16309884 16348139 20971761 20998195 EPSG:900913:26 32619768 32696278 41943522 41996391 EPSG:900913:27 65239536 65392557 83887045 83992783 EPSG:900913:28 130479073 130785115 167774091 167985567 EPSG:900913:29 260958147 261570231 335548183 335971134 EPSG:900913:30 521916294 523140462 671096367 671942269 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 30 80 80 EPSG:4326x2:7 60 60 160 160 EPSG:4326x2:8 120 121 320 320 EPSG:4326x2:9 241 242 640 640 EPSG:4326x2:10 483 485 1280 1281 EPSG:4326x2:11 967 971 2560 2563 EPSG:4326x2:12 1934 1943 5120 5126 EPSG:4326x2:13 3868 3886 10240 10253 EPSG:4326x2:14 7736 7773 20480 20506 EPSG:4326x2:15 15472 15546 40960 41012 EPSG:4326x2:16 30944 31093 81920 82024 EPSG:4326x2:17 61889 62187 163841 164048 EPSG:4326x2:18 123779 124374 327683 328096 EPSG:4326x2:19 247558 248749 655367 656193 EPSG:4326x2:20 495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Land Graze Suitability - Cattle_(Somaliland) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Cattle) in selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:grazesuitabilitycattle_n other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 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EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Somalia Harmonised Settlements - November 2022 OCHA Somalia Harmonised settlement 14 11 2022 40.99208 -1.63754 51.28266 11.96039 geonode:harmonised_settlement_14112022 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 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EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 328 EPSG:900913x2:10 477 516 628 657 EPSG:900913x2:11 955 1033 1257 1315 EPSG:900913x2:12 1910 2066 2514 2631 EPSG:900913x2:13 3821 4133 5028 5262 EPSG:900913x2:14 7643 8266 10057 10525 EPSG:900913x2:15 15287 16533 20115 21051 EPSG:900913x2:16 30574 33066 40230 42103 EPSG:900913x2:17 61149 66132 80460 84207 EPSG:900913x2:18 122298 132264 160921 168414 EPSG:900913x2:19 244597 264529 321843 336829 EPSG:900913x2:20 489195 529058 643686 673659 EPSG:900913x2:21 978390 1058116 1287372 1347319 EPSG:900913x2:22 1956780 2116233 2574744 2694638 EPSG:900913x2:23 3913560 4232466 5149488 5389276 EPSG:900913x2:24 7827120 8464933 10298977 10778553 EPSG:900913x2:25 15654241 16929866 20597954 21557106 EPSG:900913x2:26 31308482 33859733 41195909 43114212 EPSG:900913x2:27 62616964 67719466 82391819 86228425 EPSG:900913x2:28 125233929 135438932 164783638 172456850 EPSG:900913x2:29 250467859 270877865 329567276 344913701 EPSG:900913x2:30 500935718 541755730 659134552 689827403 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 328 EPSG:900913:10 477 516 628 657 EPSG:900913:11 955 1033 1257 1315 EPSG:900913:12 1910 2066 2514 2631 EPSG:900913:13 3821 4133 5028 5262 EPSG:900913:14 7643 8266 10057 10525 EPSG:900913:15 15287 16533 20115 21051 EPSG:900913:16 30574 33066 40230 42103 EPSG:900913:17 61149 66132 80460 84207 EPSG:900913:18 122298 132264 160921 168414 EPSG:900913:19 244597 264529 321843 336829 EPSG:900913:20 489195 529058 643686 673659 EPSG:900913:21 978390 1058116 1287372 1347319 EPSG:900913:22 1956780 2116233 2574744 2694638 EPSG:900913:23 3913560 4232466 5149488 5389276 EPSG:900913:24 7827120 8464933 10298977 10778553 EPSG:900913:25 15654241 16929866 20597954 21557106 EPSG:900913:26 31308482 33859733 41195909 43114212 EPSG:900913:27 62616964 67719466 82391819 86228425 EPSG:900913:28 125233929 135438932 164783638 172456850 EPSG:900913:29 250467859 270877865 329567276 344913701 EPSG:900913:30 500935718 541755730 659134552 689827403 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 328 EPSG:4326x2:9 221 260 628 657 EPSG:4326x2:10 443 521 1257 1315 EPSG:4326x2:11 887 1042 2514 2631 EPSG:4326x2:12 1775 2085 5028 5262 EPSG:4326x2:13 3551 4170 10057 10525 EPSG:4326x2:14 7103 8341 20115 21051 EPSG:4326x2:15 14206 16682 40230 42103 EPSG:4326x2:16 28413 33364 80460 84207 EPSG:4326x2:17 56826 66728 160921 168414 EPSG:4326x2:18 113653 133456 321843 336829 EPSG:4326x2:19 227306 266913 643686 673659 EPSG:4326x2:20 454613 533827 1287372 1347319 EPSG:4326x2:21 909227 1067654 2574744 2694638 Forage Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for extensive grazing and forage production across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching environmental conditions with requirements for grazing and forage production. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (~25% land unit coverage), SoilGrids was used to derive key soil properties across multiple depths . Each land unit was evaluated using: Climate factors (rainfall, temperature, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation) A matching table approach was applied, where: Parameters were classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The evaluation emphasizes biomass production potential and resilience to harsh conditions, which are critical for grazing systems. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_forage_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Status of River Breakages along Juba and Shabelle Rivers - Issued August 2024 FAO-SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Five types of breakages have been identified; Open, Overflow, Canal Breakage, Canal Intake Flooding and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. A legend/Key for further explanation of the different types of breakages is provided.\r\n\r\nAlong the Shabelle river, a total of 171 Open breakage points, 2 Canal Breakages, 51 Canal flooding points, 323 Overflow points and 17 points closed with sandbags have been identified while on the Juba river 104 Open points, 1 Canal Breakage, 16 Canal flooding points, 83 Overflow points and 1 point closed with sandbags have been identified. Users are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available. For questions or further clarifications related to the reports, you can contact us by sending an email to SWALIM@fao.org. 42.06270900000004 -0.096365999999932 45.67867000000007 4.892940000000067 geonode:som_juba_shabelle_river_breakages_august_2024 text/xml other other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2049 2526 2567 13 3984 4098 5053 5135 14 7969 8196 10106 10270 15 15938 16392 20212 20541 16 31876 32785 40425 41083 17 63752 65571 80850 82167 18 127504 131142 161701 164334 19 255009 262284 323402 328668 20 510018 524568 646804 657336 21 1020037 1049137 1293609 1314673 22 2040075 2098274 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It gives the suitable areas for forestry species Faidherbia Albidain selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_faidherbiaalbida_n other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 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326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 FAO Africover Landcover - 2000 The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1995 - 1998. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The purpose of the Africover landcover database is to provide the information required for natural resource assessment and management, environmental modeling and decision-making. The LCCS legend for the country, a list of the LCCS classifiers used in the interpretation, LCCS glossary of terms, a list of thematic classes and their frequency in a mixed unit, and a report on the frequency and scale adequacy, can be found in the full resolution landcover database report found in the same folder as the dataset. 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EPSG:900913:23 3912802 4233157 5149408 5392307 EPSG:900913:24 7825605 8466315 10298816 10784614 EPSG:900913:25 15651211 16932631 20597633 21569229 EPSG:900913:26 31302422 33865262 41195266 43138458 EPSG:900913:27 62604845 67730525 82390532 86276916 EPSG:900913:28 125209691 135461050 164781064 172553833 EPSG:900913:29 250419382 270922100 329562129 345107666 EPSG:900913:30 500838765 541844200 659124258 690215332 Agri-Suitability of Rice in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Rice in selected areas inSouthern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_land_agrisuitability_rice_s_faoswalim0da8c37a7f756 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 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EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Date Palm and Banana Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for date palm and banana cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for crop production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data, SoilGrids machine learning-derived data was used to fill spatial gaps and complete the national coverage. The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation, erosion risk) Hydrological conditions (flooding risk, permeability, drainage) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis reflects crop-specific ecological requirements for date palm and banana, including tolerance to temperature, soil conditions, and water availability. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_date_banana_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Paddy Rice Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for paddy (irrigated rice) cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S1 (highly suitable), S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for rice production. The evaluation considers rice grown under wet (paddy) and irrigated conditions, focusing on soil and climate suitability without explicitly accounting for water availability and irrigation infrastructure. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution, machine learning-based) WoSIS soil profile database (over 230,000 profiles globally) Climate data (temperature and rainfall) Length of Growing Period (LGP – SWALIM, 2007) SRTM Digital Elevation Model (30 m) Due to limited ground soil data (only 71 out of 318 land units), SoilGrids machine learning-derived data was used to fill spatial gaps and derive key soil parameters across multiple depths. The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage, organic carbon) Terrain characteristics (slope, elevation, erosion risk, aspect) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index Separate matching tables were developed for paddy rice (wet conditions) and irrigated rice systems, incorporating crop-specific thresholds for hydrology, soil, and climate conditions. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_paddy_rice_suit_v3 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Soil Suitability for Surface Farming - Somalia (1:1500000) This dataset represents soil suitability for surface farming across selected agricultural areas in Somalia. The analysis evaluates the capacity of land to support crop production under surface farming practices, focusing on soil characteristics and land qualities that influence root development, moisture retention, and field operability. The assessment follows a parametric land evaluation approach based on FAO guidelines, where soil limitations are rated and aggregated to determine overall suitability. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying degrees of constraints affecting surface-based cultivation. Methodology Land suitability for surface farming was assessed by considering land utilization requirements specific to surface-based agricultural practices. The process involved evaluating key soil characteristics and land qualities such as soil texture, depth, drainage conditions, workability, and moisture availability, which directly influence the effectiveness of surface farming. A parametric approach was used to rate soil limitations on a five-level scale, producing numerical scores based on root zone conditions and surface operability. The matching of land-use requirements with soil characteristics and land qualities determines the suitability of each land unit for surface farming. The resulting scores were aggregated to assign each land unit to a suitability class. The classes are: S1 – Highly Suitable: Land with no or only minor limitations for surface farming, with optimal soil conditions and minimal constraints. S2 – Moderately Suitable: Land with moderate limitations affecting productivity or requiring some management interventions. S3 – Marginally Suitable: Land with significant limitations that reduce productivity or increase input requirements. N1 – Currently Not Suitable: Land with severe limitations that prevent effective surface farming under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations such as very shallow soils, excessive salinity, or persistent waterlogging that make surface farming unfeasible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database FABDEM (30 m) SRTM Digital Elevation Model FAO-SWALIM and UNDP datasets Spatial Resolution Soil data: ~250 m DEM (FABDEM): 30 m 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_surface_suit_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Juba Shabelle River Floods - Gu 2020 This data was produced through visual interpretation of Sentinel 1 and Sentinel 2 satellite images acquired between April and June 2020 42.13419985486067 -0.03518486123903071 45.58338056334624 5.01041723871916 geonode:som_juba_shabelle_flooding_gu_2020 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 320 10 497 512 631 641 11 995 1024 1263 1283 12 1990 2048 2527 2566 13 3981 4096 5054 5133 14 7963 8193 10109 10266 15 15927 16387 20219 20533 16 31854 32774 40438 41066 17 63709 65548 80876 82132 18 127418 131097 161753 164264 19 254837 262195 323506 328529 20 509675 524390 647012 657059 21 1019350 1048780 1294025 1314118 22 2038701 2097561 2588051 2628236 23 4077403 4195123 5176102 5256473 24 8154807 8390247 10352204 10512947 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 320 10 497 512 631 641 11 995 1024 1263 1283 12 1990 2048 2527 2566 13 3981 4096 5054 5133 14 7963 8193 10109 10266 15 15927 16387 20219 20533 16 31854 32774 40438 41066 17 63709 65548 80876 82132 18 127418 131097 161753 164264 19 254837 262195 323506 328529 20 509675 524390 647012 657059 21 1019350 1048780 1294025 1314118 22 2038701 2097561 2588051 2628236 23 4077403 4195123 5176102 5256473 24 8154807 8390247 10352204 10512947 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 120 128 315 320 EPSG:4326:9 241 256 631 641 EPSG:4326:10 483 512 1263 1283 EPSG:4326:11 966 1024 2527 2566 EPSG:4326:12 1933 2048 5054 5133 EPSG:4326:13 3867 4097 10109 10266 EPSG:4326:14 7735 8195 20219 20533 EPSG:4326:15 15471 16390 40438 41066 EPSG:4326:16 30943 32780 80876 82132 EPSG:4326:17 61887 65561 161753 164264 EPSG:4326:18 123775 131123 323506 328529 EPSG:4326:19 247550 262246 647012 657059 EPSG:4326:20 495100 524492 1294025 1314118 EPSG:4326:21 990200 1048985 2588051 2628236 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 320 EPSG:900913x2:10 497 512 631 641 EPSG:900913x2:11 995 1024 1263 1283 EPSG:900913x2:12 1990 2048 2527 2566 EPSG:900913x2:13 3981 4096 5054 5133 EPSG:900913x2:14 7963 8193 10109 10266 EPSG:900913x2:15 15927 16387 20219 20533 EPSG:900913x2:16 31854 32774 40438 41066 EPSG:900913x2:17 63709 65548 80876 82132 EPSG:900913x2:18 127418 131097 161753 164264 EPSG:900913x2:19 254837 262195 323506 328529 EPSG:900913x2:20 509675 524390 647012 657059 EPSG:900913x2:21 1019350 1048780 1294025 1314118 EPSG:900913x2:22 2038701 2097561 2588051 2628236 EPSG:900913x2:23 4077403 4195123 5176102 5256473 EPSG:900913x2:24 8154807 8390247 10352204 10512947 EPSG:900913x2:25 16309614 16780495 20704408 21025895 EPSG:900913x2:26 32619229 33560990 41408816 42051790 EPSG:900913x2:27 65238459 67121981 82817632 84103580 EPSG:900913x2:28 130476919 134243963 165635264 168207160 EPSG:900913x2:29 260953838 268487927 331270529 336414320 EPSG:900913x2:30 521907677 536975854 662541058 672828640 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 320 EPSG:900913:10 497 512 631 641 EPSG:900913:11 995 1024 1263 1283 EPSG:900913:12 1990 2048 2527 2566 EPSG:900913:13 3981 4096 5054 5133 EPSG:900913:14 7963 8193 10109 10266 EPSG:900913:15 15927 16387 20219 20533 EPSG:900913:16 31854 32774 40438 41066 EPSG:900913:17 63709 65548 80876 82132 EPSG:900913:18 127418 131097 161753 164264 EPSG:900913:19 254837 262195 323506 328529 EPSG:900913:20 509675 524390 647012 657059 EPSG:900913:21 1019350 1048780 1294025 1314118 EPSG:900913:22 2038701 2097561 2588051 2628236 EPSG:900913:23 4077403 4195123 5176102 5256473 EPSG:900913:24 8154807 8390247 10352204 10512947 EPSG:900913:25 16309614 16780495 20704408 21025895 EPSG:900913:26 32619229 33560990 41408816 42051790 EPSG:900913:27 65238459 67121981 82817632 84103580 EPSG:900913:28 130476919 134243963 165635264 168207160 EPSG:900913:29 260953838 268487927 331270529 336414320 EPSG:900913:30 521907677 536975854 662541058 672828640 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 320 EPSG:4326x2:9 241 256 631 641 EPSG:4326x2:10 483 512 1263 1283 EPSG:4326x2:11 966 1024 2527 2566 EPSG:4326x2:12 1933 2048 5054 5133 EPSG:4326x2:13 3867 4097 10109 10266 EPSG:4326x2:14 7735 8195 20219 20533 EPSG:4326x2:15 15471 16390 40438 41066 EPSG:4326x2:16 30943 32780 80876 82132 EPSG:4326x2:17 61887 65561 161753 164264 EPSG:4326x2:18 123775 131123 323506 328529 EPSG:4326x2:19 247550 262246 647012 657059 EPSG:4326x2:20 495100 524492 1294025 1314118 EPSG:4326x2:21 990200 1048985 2588051 2628236 Vetiveria Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for Vetiveria (Vetiver grass) cultivation across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching crop requirements with environmental conditions. A national land database was developed by integrating: Somalia soil map (250,000 scale) SoilGrids global soil data (250 m resolution, machine learning-based) Climate data (temperature and rainfall) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) for slope, elevation, and aspect Each land unit was characterized using parameters such as soil texture, pH, salinity, organic carbon, rooting depth, slope, rainfall, and temperature. A matching table approach was applied, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Parameters were weighted and aggregated into a final suitability index The final suitability classes derived were: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Unlike other crops, Vetiveria is highly adaptable to harsh conditions (e.g., salinity, poor soils), which influences the classification results. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (temperature and rainfall) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_vetiveria_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 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157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 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EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Administrative Regions Within Somalia Somalia country administrative boundary admin2 (Regionsof Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. 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2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20115 21063 EPSG:4326x2:15 14202 16687 40230 42127 EPSG:4326x2:16 28404 33374 80461 84254 EPSG:4326x2:17 56808 66748 160923 168509 EPSG:4326x2:18 113617 133496 321846 337019 EPSG:4326x2:19 227234 266993 643692 674039 EPSG:4326x2:20 454469 533986 1287385 1348078 EPSG:4326x2:21 908938 1067973 2574770 2696157 Juba Shabelle River Floods - Deyr 2018 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 20th October 2018– 04th November 2018 42.220535747233704 0.403686028704609 45.70990331307846 4.440846822141557 geonode:som_juba_shabelle_river_floods_deyr_20180_0rjpvzt other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 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2629710 Forest Suitability of ConocarpusLancifolius in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Conocarpus Lancifolius in selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_conocarpuslancifol other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 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Somalia defines the classes of topography and landscape units based on SRTM 90 m. 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_landscape_s_faoswalim20070 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 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643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2022 Three consecutive poor rainy seasons within the Juba and Shabelle River basins inside Somalia and the Ethiopian highlands have led to the current serious hydrological drought along the two rivers. The river levels in the upper sections are currently at their historical minimum, while the mid and lower sections of the Shabelle River having run dry. With no rains expected in February and most of March, the river flow will continue to decline. The reduced river flow along the two rivers has negatively impacted agriculture production, domestic and livestock water use. This has also led to an increase of new river breakages as the riverine communities attempt to extract the limited resource to support livelihood activities.\r\n\r\nSWALIM has completed analysis and mapping of the river breakages along the two rivers using very high resolution satellite images acquired thanks to the kind contribution of the Embassy of France. The study has identified 101 open points along the Shabelle, out of which 24 points are new and the rest have remained open since the last survey in August 2021. Along the Juba River, 35 open points were identified out of which 5 are new points. During this drought period, it is expected that the riverine communities will continue to extract water from the rivers by breaching the banks and this will only see an increase of the open river bank points.\r\n\r\nSeveral other weak points which are not necessarily open but have the potential to overflow or break were identified during the analysis. The summary of the different types of points mapped.  42.06809008 -0.07097 45.67867 4.89294 geonode:shabelle_juba_breakages_feb_2022 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 2629347 23 4080151 4195957 5174561 5258694 24 8160302 8391915 10349123 10517388 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 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EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Banana Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_banana_suitability_v1 other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 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Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Dobera Glabrain selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_doberaglabra_n_fao other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 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Suitability in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species in selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_n_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 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EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 Water Melon Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_watermelon_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 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41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Water Melon Suitability - Belet Weyne(1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_watermelon_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 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471 1297 1305 EPSG:4326x2:11 911 943 2594 2610 EPSG:4326x2:12 1822 1887 5188 5220 EPSG:4326x2:13 3645 3774 10376 10440 EPSG:4326x2:14 7290 7549 20753 20881 EPSG:4326x2:15 14580 15099 41507 41763 EPSG:4326x2:16 29160 30198 83015 83526 EPSG:4326x2:17 58321 60396 166031 167052 EPSG:4326x2:18 116642 120792 332063 334104 EPSG:4326x2:19 233285 241584 664127 668209 EPSG:4326x2:20 466571 483169 1328254 1336419 EPSG:4326x2:21 933142 966338 2656509 2672838 Administrative Districts of Somalia Somalia country administrative boundary admin2 (Districts of Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is contributor. 40.994316999000034 -1.664914401999908 51.413032532000045 11.985202789000084 geonode:som_adm3_districts_unocha other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15285 16535 20115 21063 16 30570 33071 40230 42127 17 61140 66142 80461 84254 18 122280 132284 160923 168509 19 244560 264569 321846 337019 20 489121 529138 643692 674039 21 978242 1058276 1287385 1348078 22 1956484 2116552 2574770 2696157 23 3912969 4233104 5149540 5392314 24 7825938 8466209 10299081 10784628 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 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EPSG:900913:17 61140 66142 80461 84254 EPSG:900913:18 122280 132284 160923 168509 EPSG:900913:19 244560 264569 321846 337019 EPSG:900913:20 489121 529138 643692 674039 EPSG:900913:21 978242 1058276 1287385 1348078 EPSG:900913:22 1956484 2116552 2574770 2696157 EPSG:900913:23 3912969 4233104 5149540 5392314 EPSG:900913:24 7825938 8466209 10299081 10784628 EPSG:900913:25 15651877 16932419 20598163 21569257 EPSG:900913:26 31303754 33864838 41196326 43138515 EPSG:900913:27 62607508 67729676 82392653 86277031 EPSG:900913:28 125215016 135459352 164785306 172554063 EPSG:900913:29 250430033 270918705 329570612 345108127 EPSG:900913:30 500860066 541837411 659141225 690216254 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20115 21063 EPSG:4326x2:15 14202 16687 40230 42127 EPSG:4326x2:16 28404 33374 80461 84254 EPSG:4326x2:17 56808 66748 160923 168509 EPSG:4326x2:18 113617 133496 321846 337019 EPSG:4326x2:19 227234 266993 643692 674039 EPSG:4326x2:20 454469 533986 1287385 1348078 EPSG:4326x2:21 908938 1067973 2574770 2696157 Paddy Rice Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_paddy_rice_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 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(1:1500000) This dataset represents the spatial distribution of soil and climate suitability for rainfed sesame cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for sesame production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data (covering only ~25% of land units), SoilGrids machine learning-derived data was used to fill spatial gaps and derive key soil parameters across multiple depths . The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation, erosion risk) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was performed under rainfed conditions, reflecting typical sesame production systems in Somalia. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_sesame_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 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5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Juba Shabelle River Floods - Elnino - Deyr 2023 This data contains modified flood extent from:\r\n1. Global Flood Monitoring retrieved on 14/11/2023,\r\n2. World View 3 Image of 16/11/2023,UNOSAT Analysis 05 Nov - 03 Dec 2023. Sentinel 2 image of (15,20,30)/11 and (5,10) /12/ 2023. 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264508 321848 332544 EPSG:900913:20 506748 529016 643696 665089 EPSG:900913:21 1013496 1058033 1287392 1330179 EPSG:900913:22 2026992 2116067 2574785 2660359 EPSG:900913:23 4053985 4232134 5149571 5320718 EPSG:900913:24 8107971 8464269 10299143 10641436 EPSG:900913:25 16215942 16928539 20598287 21282873 EPSG:900913:26 32431884 33857078 41196575 42565747 EPSG:900913:27 64863769 67714157 82393150 85131495 EPSG:900913:28 129727539 135428315 164786300 170262991 EPSG:900913:29 259455079 270856631 329572600 340525982 EPSG:900913:30 518910159 541713263 659145200 681051964 Somalia Population_PESS_2014 Population Estimation Survey (PESS) gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire.PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data 40.98950576200008 -1.651552163999952 51.415153485000076 11.988532393000071 geonode:som_population_pess_2014_0c5a67e3b539796c9a10edca6262848e other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16534 20114 21063 16 30569 33068 40229 42127 17 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329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8342 20114 21063 EPSG:4326x2:15 14201 16684 40229 42127 EPSG:4326x2:16 28403 33369 80459 84255 EPSG:4326x2:17 56806 66738 160919 168511 EPSG:4326x2:18 113612 133477 321839 337022 EPSG:4326x2:19 227224 266954 643678 674045 EPSG:4326x2:20 454449 533908 1287357 1348090 EPSG:4326x2:21 908899 1067817 2574714 2696181 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15284 16534 20114 21063 EPSG:900913:16 30569 33068 40229 42127 EPSG:900913:17 61138 66137 80459 84255 EPSG:900913:18 122277 132274 160919 168511 EPSG:900913:19 244555 264549 321839 337022 EPSG:900913:20 489111 529099 643678 674045 EPSG:900913:21 978222 1058198 1287357 1348090 EPSG:900913:22 1956444 2116396 2574714 2696181 EPSG:900913:23 3912889 4232793 5149428 5392363 EPSG:900913:24 7825779 8465586 10298857 10784727 EPSG:900913:25 15651559 16931173 20597714 21569455 EPSG:900913:26 31303119 33862346 41195429 43138911 EPSG:900913:27 62606239 67724692 82390859 86277822 EPSG:900913:28 125212478 135449385 164781718 172555645 EPSG:900913:29 250424956 270898770 329563437 345111290 EPSG:900913:30 500849913 541797540 659126875 690222580 Somalia Assorted Settlements This dataset contains districts and regional capitals, towns, settlements, and IDP camps. Below is a description of the fields in the attribute table: OBJECTID - unique ID for the dataset KEMRI_TEAM - team number assigned for the collection of the KEMRI settlements KEMRI_NO_H - number of houses identified by KEMRI surveys KEMRI_POP - population of settlement as identified by KEMRI surveys GTZ_LOCATO - GTZ unique ID for settlements identified in the GTZ survey GTZ_TYPE - type of settlement as identified by GTZ survey GTZ_ECONOM - type of economic activity in settlement as identified by GTZ survey GTZ_POP - population of settlement as identified by GTZ survey GTZ_MINE_A - settlement affected by mines according to GTZ survey DP97_HUTS - number of huts in settlement as identified by UNDP 1997 survey DP97_HOUSE - number of houses in settlement as identified by UNDP 1997 survey DP97_PCODE - place code as allocated by UNDP 1997 survey DP97_CODE - settlement code, identifying type of settlement. 1 = Settlement, 5 = Other town, 10 = District town, 100 = Regional Capital, 1000 = Capital town DP97_SOURC - source of the settlement for the UNDP 1997 survey DP97_PPRES - pre-war population estimate using number of huts for UNDP 1997 survey DP97_PPNRS - pre-war population estimate using number of houses for UNDP 1997 survey DP97_POP - population from topomaps for UNDP 1997 survey DP97_SPOP - surveyed population for UNDP 1997 survey ALT_NAME - Alternative names and spellings for settlement 40.99315000000007 -1.600499987999967 51.28266000000008 11.960390000000075 geonode:som_settlements_assorted other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 328 10 477 516 628 657 11 955 1033 1257 1315 12 1910 2066 2514 2631 13 3821 4132 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EPSG:900913x2:13 3821 4132 5028 5262 EPSG:900913x2:14 7643 8264 10057 10525 EPSG:900913x2:15 15287 16529 20115 21051 EPSG:900913x2:16 30574 33059 40230 42103 EPSG:900913x2:17 61149 66118 80461 84207 EPSG:900913x2:18 122298 132237 160922 168414 EPSG:900913x2:19 244597 264475 321844 336829 EPSG:900913x2:20 489195 528950 643689 673659 EPSG:900913x2:21 978390 1057900 1287378 1347319 EPSG:900913x2:22 1956780 2115801 2574756 2694638 EPSG:900913x2:23 3913560 4231603 5149513 5389276 EPSG:900913x2:24 7827120 8463206 10299027 10778553 EPSG:900913x2:25 15654241 16926412 20598054 21557106 EPSG:900913x2:26 31308482 33852825 41196109 43114212 EPSG:900913x2:27 62616964 67705651 82392218 86228425 EPSG:900913x2:28 125233929 135411302 164784436 172456850 EPSG:900913x2:29 250467859 270822605 329568872 344913701 EPSG:900913x2:30 500935718 541645210 659137744 689827403 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 328 EPSG:900913:10 477 516 628 657 EPSG:900913:11 955 1033 1257 1315 EPSG:900913:12 1910 2066 2514 2631 EPSG:900913:13 3821 4132 5028 5262 EPSG:900913:14 7643 8264 10057 10525 EPSG:900913:15 15287 16529 20115 21051 EPSG:900913:16 30574 33059 40230 42103 EPSG:900913:17 61149 66118 80461 84207 EPSG:900913:18 122298 132237 160922 168414 EPSG:900913:19 244597 264475 321844 336829 EPSG:900913:20 489195 528950 643689 673659 EPSG:900913:21 978390 1057900 1287378 1347319 EPSG:900913:22 1956780 2115801 2574756 2694638 EPSG:900913:23 3913560 4231603 5149513 5389276 EPSG:900913:24 7827120 8463206 10299027 10778553 EPSG:900913:25 15654241 16926412 20598054 21557106 EPSG:900913:26 31308482 33852825 41196109 43114212 EPSG:900913:27 62616964 67705651 82392218 86228425 EPSG:900913:28 125233929 135411302 164784436 172456850 EPSG:900913:29 250467859 270822605 329568872 344913701 EPSG:900913:30 500935718 541645210 659137744 689827403 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 328 EPSG:4326x2:9 221 260 628 657 EPSG:4326x2:10 443 521 1257 1315 EPSG:4326x2:11 887 1042 2514 2631 EPSG:4326x2:12 1775 2084 5028 5262 EPSG:4326x2:13 3551 4168 10057 10525 EPSG:4326x2:14 7103 8337 20115 21051 EPSG:4326x2:15 14206 16675 40230 42103 EPSG:4326x2:16 28413 33350 80461 84207 EPSG:4326x2:17 56826 66701 160922 168414 EPSG:4326x2:18 113653 133402 321844 336829 EPSG:4326x2:19 227306 266805 643689 673659 EPSG:4326x2:20 454613 533611 1287378 1347319 EPSG:4326x2:21 909227 1067223 2574756 2694638 FABDEM v1.2 – Forest and Buildings Removed Digital Elevation Model (30 m) The FABDEM (Forest And Buildings removed Copernicus DEM) Version 1.2 dataset is a global, high-resolution digital elevation model designed to reduce elevation biases caused by vegetation and built-up structures. FABDEM is derived from the Copernicus GLO-30 DEM and applies advanced correction methods to remove the influence of forest canopy height and buildings, resulting in a terrain surface that more closely represents the true bare-earth elevation. The dataset is provided at a spatial resolution of 1 arc-second (approximately 30 metres at the equator) and offers consistent global coverage. Version 1.2 represents an update to the earlier FABDEM V1.0 release, incorporating methodological refinements and corrections as detailed in the official changelog. In addition to raster elevation tiles, a GeoJSON index of FABDEM tiles is included to support spatial referencing and data management. FABDEM is particularly suitable for hydrological and hydraulic modelling, flood risk and inundation mapping, terrain and slope analysis, watershed delineation, flow accumulation modelling, and other environmental and geospatial analyses where vegetation and building artefacts in elevation data can introduce significant uncertainty. The dataset is published in support of the peer-reviewed study “A 30 m global map of elevation with forests and buildings removed” and is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) license. For commercial use, permission must be obtained from the data providers. stract provided 39.89894138948103 -2.0934558910127965 52.18279248475839 12.096925576554288 geonode:SOM_FABDEM_V1_2_alb_m_4326 other other other other text/xml other other other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 165 9 238 258 312 330 10 477 517 625 660 11 954 1035 1250 1320 12 1909 2071 2501 2641 13 3818 4143 5003 5283 14 7637 8287 10007 10566 15 15274 16574 20015 21133 16 30549 33149 40031 42267 17 61098 66298 80062 84535 18 122197 132596 160125 169070 19 244394 265193 320251 338140 20 488788 530386 640502 676281 21 977576 1060773 1281004 1352562 22 1955153 2121547 2562008 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2576125 2696512 Aquifer - Somaliland and Puntland_of_somaliland_puntland 42.660856684000066 6.728666892000092 51.40984340000006 11.981461138000043 geonode:aquifer_of_somaliland_puntland other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 14 15 19 20 6 29 30 39 41 7 59 61 79 82 8 119 123 158 164 9 238 246 316 329 10 477 492 633 658 11 955 985 1266 1316 12 1910 1971 2533 2632 13 3821 3942 5066 5265 14 7642 7885 10133 10531 15 15285 15770 20267 21063 16 30570 31540 40534 42126 17 61141 63080 81068 84253 18 122283 126161 162136 168507 19 244566 252322 324273 337015 20 489132 504644 648546 674030 21 978264 1009288 1297093 1348060 22 1956529 2018576 2594187 2696120 23 3913058 4037153 5188374 5392240 24 7826116 8074306 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21063 EPSG:900913:16 30570 31540 40534 42126 EPSG:900913:17 61141 63080 81068 84253 EPSG:900913:18 122283 126161 162136 168507 EPSG:900913:19 244566 252322 324273 337015 EPSG:900913:20 489132 504644 648546 674030 EPSG:900913:21 978264 1009288 1297093 1348060 EPSG:900913:22 1956529 2018576 2594187 2696120 EPSG:900913:23 3913058 4037153 5188374 5392240 EPSG:900913:24 7826116 8074306 10376748 10784480 EPSG:900913:25 15652233 16148612 20753496 21568960 EPSG:900913:26 31304467 32297224 41506992 43137921 EPSG:900913:27 62608934 64594448 83013984 86275842 EPSG:900913:28 125217868 129188897 166027968 172551685 EPSG:900913:29 250435737 258377795 332055936 345103371 EPSG:900913:30 500871474 516755591 664111873 690206742 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 6 7 19 20 EPSG:4326x2:5 13 14 39 41 EPSG:4326x2:6 27 29 79 82 EPSG:4326x2:7 55 59 158 164 EPSG:4326x2:8 110 118 316 329 EPSG:4326x2:9 221 236 633 658 EPSG:4326x2:10 443 473 1266 1316 EPSG:4326x2:11 887 947 2533 2632 EPSG:4326x2:12 1775 1894 5066 5265 EPSG:4326x2:13 3550 3789 10133 10531 EPSG:4326x2:14 7101 7579 20267 21063 EPSG:4326x2:15 14202 15159 40534 42126 EPSG:4326x2:16 28405 30318 81068 84253 EPSG:4326x2:17 56811 60636 162136 168507 EPSG:4326x2:18 113622 121272 324273 337015 EPSG:4326x2:19 227245 242545 648546 674030 EPSG:4326x2:20 454490 485090 1297093 1348060 EPSG:4326x2:21 908981 970181 2594187 2696120 Mango Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_mango_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 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Somalia_UNSOS2018 Somalia Police Stations location as of 2018 41.00699144400005 -0.531843008999942 51.26101472300007 11.914214513000047 geonode:som_police_stations_unsos2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 314 328 10 477 513 628 657 11 955 1027 1257 1315 12 1911 2054 2514 2631 13 3822 4108 5029 5262 14 7645 8216 10058 10524 15 15291 16432 20116 21049 16 30583 32864 40233 42099 17 61166 65729 80466 84199 18 122333 131459 160932 168399 19 244666 262918 321864 336798 20 489332 525837 643729 673596 21 978665 1051674 1287459 1347193 22 1957330 2103348 2574918 2694386 23 3914660 4206697 5149836 5388772 24 7829320 8413394 10299672 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515 1257 1315 EPSG:4326x2:11 888 1030 2514 2631 EPSG:4326x2:12 1776 2060 5029 5262 EPSG:4326x2:13 3553 4120 10058 10524 EPSG:4326x2:14 7107 8240 20116 21049 EPSG:4326x2:15 14215 16480 40233 42099 EPSG:4326x2:16 28430 32961 80466 84199 EPSG:4326x2:17 56860 65923 160932 168399 EPSG:4326x2:18 113720 131846 321864 336798 EPSG:4326x2:19 227441 263693 643729 673596 EPSG:4326x2:20 454882 527386 1287459 1347193 EPSG:4326x2:21 909765 1054772 2574918 2694386 Rainfall Stations in Somalia_FAOSWALIM_2007 Currently, there are over 100 manual rainfall stations, eight synoptic weather stations and 11 automatic weather stations in all Somalia. The stations record a variety of weather elements, including rainfall, temperature, relative humidity, atmospheric pressure, wind speed, wind direction and solar radiation. Data from these automatic stations is received by SWALIM in near-real-time through satellite feeds every four hours. The Somalia rainfall performance layer is generated using data from these stations and other data sources. 42.10000000000008 0.050000000000068 49.17605000000003 11.282650000000046 geonode:som_rainfall_stations_faoswalim_2007 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 14 15 19 20 6 29 31 39 40 7 59 63 78 81 8 119 127 157 162 9 239 255 315 325 10 479 511 631 651 11 959 1023 1263 1303 12 1918 2047 2527 2607 13 3837 4094 5054 5215 14 7675 8189 10108 10430 15 15350 16379 20216 20860 16 30700 32758 40432 41720 17 61401 65517 80864 83440 18 122802 131035 161728 166880 19 245605 262071 323456 333761 20 491210 524142 646913 667523 21 982420 1048284 1293826 1335047 22 1964841 2096569 2587652 2670094 23 3929683 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EPSG:900913:21 982420 1048284 1293826 1335047 EPSG:900913:22 1964841 2096569 2587652 2670094 EPSG:900913:23 3929683 4193138 5175305 5340189 EPSG:900913:24 7859366 8386277 10350610 10680378 EPSG:900913:25 15718733 16772555 20701220 21360756 EPSG:900913:26 31437467 33545111 41402440 42721512 EPSG:900913:27 62874934 67090222 82804881 85443024 EPSG:900913:28 125749869 134180445 165609763 170886048 EPSG:900913:29 251499738 268360890 331219526 341772097 EPSG:900913:30 502999477 536721781 662439053 683544194 Somalia IDPs - UNHCR_ 2007 Somalia IDPs camp locations compiled by UNHCR 2007 43.63220000000007 2.001183000000026 49.19791900000007 11.286408000000051 geonode:som_idps_unhcr_2007_7f99446ce247d4f6f512eb44350f06ba other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 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Zones in Somalia Data on climate from pre-war meteorological stations (1961-1990) Data on topography by NASA - SRTM, 2000.The climate of Somalia is classified into four general climatic zones, Desert, Very arid, Semi arid and Humid - Semi arid. 40.989505766000036 -1.66006135899994 51.414127345000054 11.985942840000064 geonode:climate_zones_in_somalia other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16535 20114 21063 16 30569 33070 40229 42127 17 61139 66140 80459 84255 18 122279 132280 160919 168510 19 244559 264561 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EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20114 21063 EPSG:4326x2:15 14202 16686 40229 42127 EPSG:4326x2:16 28404 33372 80459 84255 EPSG:4326x2:17 56808 66744 160919 168510 EPSG:4326x2:18 113616 133489 321839 337021 EPSG:4326x2:19 227232 266979 643678 674042 EPSG:4326x2:20 454464 533958 1287357 1348084 EPSG:4326x2:21 908929 1067917 2574714 2696169 Soil Simplified - 2012 SWALIM has conducted numerous surveys of the soil in different parts of Somalia which is resulted in compiling a national soil database for Somalia 40.98863220800007 -1.662052869999968 51.413032427000076 11.985202787000048 geonode:soil_simplified_faoswalim2012 other other other other text/xml other other application/json;type=utfgrid 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62607508 67728609 82390533 86277031 EPSG:900913:28 125215016 135457218 164781067 172554063 EPSG:900913:29 250430033 270914436 329562134 345108127 EPSG:900913:30 500860066 541828873 659124269 690216254 Status of River Breakages Along Juba and Shabelle Rivers - Issued July 2018 A total of 101 Open points were identified, 54 along Juba River and 47 along Shabelle River.The Gu 2018 heavy rains led to increased river levels and subsequent additional river breakages. 205 Overflow (Overbank river spillage) points were also been identified. The estimated cumulative length of the Overflow sections along the river bank is approximately 82.6 km whose calculation is derived from visible spillages and fresh sand deposits during the flooding period. Several other points, which are either potential or temporarily closed with sandbags, have also been identified. 42.06818600000008 -0.070969999999988 45.678670000000125 4.864156999999977 geonode:shabelle_juba_river_breakages_july2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15940 16390 20213 20541 16 31881 32780 40426 41083 17 63762 65561 80852 82167 18 127525 131123 161705 164334 19 255051 262247 323410 328668 20 510103 524494 646820 657336 21 1020206 1048989 1293640 1314673 22 2040412 2097978 2587281 2629347 23 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Suitable Higher Grounds For Evacuation During Flooding Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads\r\nBased on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. \r\nThe output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. 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EPSG:4326x2:9 244 246 632 633 EPSG:4326x2:10 488 492 1264 1266 EPSG:4326x2:11 977 984 2529 2533 EPSG:4326x2:12 1955 1968 5059 5067 EPSG:4326x2:13 3910 3937 10118 10134 EPSG:4326x2:14 7820 7875 20237 20268 EPSG:4326x2:15 15640 15750 40474 40537 EPSG:4326x2:16 31281 31500 80948 81074 EPSG:4326x2:17 62562 63001 161897 162148 EPSG:4326x2:18 125125 126002 323794 324297 EPSG:4326x2:19 250251 252005 647589 648595 EPSG:4326x2:20 500502 504011 1295178 1297191 EPSG:4326x2:21 1001004 1008023 2590357 2594383 River Juba and Shabelle (line) The Shuttle Radar Topography Mission (SRTM) obtained 90-meter (3 arc-second) resolution data on a near-global scale (between 56 degrees South and 60 degrees North latitude) and 30 meter (1 arc-second) resolution over United States, providing a valuable global topographic dataset. The SRTM data were collected during an 11-day mission in February of 2000 from a radar system onboard the Space Shuttle Endeavor. 42.12213516200006 -0.25111558499998 45.67823791500007 4.953206862000059 geonode:som_rivers_juba_shabelle_line_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 320 10 497 512 631 641 11 995 1025 1263 1283 12 1991 2050 2527 2567 13 3983 4101 5054 5135 14 7966 8203 10109 10270 15 15932 16406 20218 20541 16 31865 32813 40436 41083 17 63730 65627 80872 82166 18 127460 131254 161744 164333 19 254921 262509 323488 328667 20 509842 525019 646977 657335 21 1019685 1050038 1293955 1314671 22 2039370 2100077 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EPSG:4326:13 3870 4107 10109 10270 EPSG:4326:14 7741 8214 20218 20541 EPSG:4326:15 15482 16429 40436 41083 EPSG:4326:16 30964 32859 80872 82166 EPSG:4326:17 61929 65718 161744 164333 EPSG:4326:18 123858 131437 323488 328667 EPSG:4326:19 247716 262875 646977 657335 EPSG:4326:20 495433 525750 1293955 1314671 EPSG:4326:21 990866 1051501 2587910 2629342 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 320 EPSG:900913x2:10 497 512 631 641 EPSG:900913x2:11 995 1025 1263 1283 EPSG:900913x2:12 1991 2050 2527 2567 EPSG:900913x2:13 3983 4101 5054 5135 EPSG:900913x2:14 7966 8203 10109 10270 EPSG:900913x2:15 15932 16406 20218 20541 EPSG:900913x2:16 31865 32813 40436 41083 EPSG:900913x2:17 63730 65627 80872 82166 EPSG:900913x2:18 127460 131254 161744 164333 EPSG:900913x2:19 254921 262509 323488 328667 EPSG:900913x2:20 509842 525019 646977 657335 EPSG:900913x2:21 1019685 1050038 1293955 1314671 EPSG:900913x2:22 2039370 2100077 2587910 2629342 EPSG:900913x2:23 4078741 4200155 5175820 5258684 EPSG:900913x2:24 8157483 8400310 10351641 10517368 EPSG:900913x2:25 16314967 16800621 20703283 21034736 EPSG:900913x2:26 32629935 33601243 41406567 42069472 EPSG:900913x2:27 65259870 67202486 82813134 84138945 EPSG:900913x2:28 130519740 134404973 165626268 168277890 EPSG:900913x2:29 261039480 268809947 331252536 336555781 EPSG:900913x2:30 522078960 537619895 662505073 673111563 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 320 EPSG:900913:10 497 512 631 641 EPSG:900913:11 995 1025 1263 1283 EPSG:900913:12 1991 2050 2527 2567 EPSG:900913:13 3983 4101 5054 5135 EPSG:900913:14 7966 8203 10109 10270 EPSG:900913:15 15932 16406 20218 20541 EPSG:900913:16 31865 32813 40436 41083 EPSG:900913:17 63730 65627 80872 82166 EPSG:900913:18 127460 131254 161744 164333 EPSG:900913:19 254921 262509 323488 328667 EPSG:900913:20 509842 525019 646977 657335 EPSG:900913:21 1019685 1050038 1293955 1314671 EPSG:900913:22 2039370 2100077 2587910 2629342 EPSG:900913:23 4078741 4200155 5175820 5258684 EPSG:900913:24 8157483 8400310 10351641 10517368 EPSG:900913:25 16314967 16800621 20703283 21034736 EPSG:900913:26 32629935 33601243 41406567 42069472 EPSG:900913:27 65259870 67202486 82813134 84138945 EPSG:900913:28 130519740 134404973 165626268 168277890 EPSG:900913:29 261039480 268809947 331252536 336555781 EPSG:900913:30 522078960 537619895 662505073 673111563 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 320 EPSG:4326x2:9 241 256 631 641 EPSG:4326x2:10 483 513 1263 1283 EPSG:4326x2:11 967 1026 2527 2567 EPSG:4326x2:12 1935 2053 5054 5135 EPSG:4326x2:13 3870 4107 10109 10270 EPSG:4326x2:14 7741 8214 20218 20541 EPSG:4326x2:15 15482 16429 40436 41083 EPSG:4326x2:16 30964 32859 80872 82166 EPSG:4326x2:17 61929 65718 161744 164333 EPSG:4326x2:18 123858 131437 323488 328667 EPSG:4326x2:19 247716 262875 646977 657335 EPSG:4326x2:20 495433 525750 1293955 1314671 EPSG:4326x2:21 990866 1051501 2587910 2629342 Grazing Suitability for Cattle - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for extensive grazing and forage production across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching environmental conditions with requirements for grazing and forage production. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (~25% land unit coverage), SoilGrids was used to derive key soil properties across multiple depths . Each land unit was evaluated using: Climate factors (rainfall, temperature, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation) A matching table approach was applied, where: Parameters were classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The evaluation emphasizes biomass production potential and resilience to harsh conditions, which are critical for grazing systems. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_cattle_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Water Melon Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for watermelon cultivation across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991). Land suitability was determined by matching crop requirements with soil, climate, and terrain characteristics. A national soil database was developed by integrating: Existing Somalia soil map (250,000 scale) SoilGrids global soil data (250 m resolution, machine learning-based) Climate data (temperature and rainfall) Length of Growing Period (LGP) Digital Elevation Model (SRTM 30 m) for slope, elevation, and aspect Each land unit was characterized using key parameters including soil texture, pH, salinity, organic carbon, rooting depth, slope, rainfall, and temperature. A matching table approach was applied, where each parameter was: Classified into suitability levels (S1–N2) Assigned numerical ratings (0–100) Weighted and combined to produce a final suitability index The final suitability classes were derived as: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable The analysis assumes irrigation availability and does not explicitly account for water resource constraints. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (temperature and rainfall) 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_watermelon_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Forest Suitability - Tamarindus Indica (Somaliland) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Tamarindus Indicain selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:forestsuitability_tamarindusindica_north other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 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3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 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image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15285 16535 20114 21063 16 30570 33070 40229 42127 17 61140 66141 80459 84254 18 122280 132282 160919 168509 19 244560 264564 321838 337019 20 489121 529129 643676 674039 21 978242 1058259 1287352 1348078 22 1956484 2116519 2574704 2696157 23 3912969 4233038 5149408 5392314 24 7825938 8466076 10298816 10784628 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15285 16535 20114 21063 16 30570 33070 40229 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EPSG:900913x2:27 62607508 67728609 82390533 86277031 EPSG:900913x2:28 125215016 135457218 164781067 172554063 EPSG:900913x2:29 250430033 270914436 329562134 345108127 EPSG:900913x2:30 500860066 541828873 659124269 690216254 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20114 21063 EPSG:4326x2:15 14202 16686 40229 42127 EPSG:4326x2:16 28404 33373 80459 84254 EPSG:4326x2:17 56808 66746 160919 168509 EPSG:4326x2:18 113617 133492 321838 337019 EPSG:4326x2:19 227234 266985 643676 674039 EPSG:4326x2:20 454469 533970 1287352 1348078 EPSG:4326x2:21 908938 1067940 2574704 2696157 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15285 16535 20114 21063 EPSG:900913:16 30570 33070 40229 42127 EPSG:900913:17 61140 66141 80459 84254 EPSG:900913:18 122280 132282 160919 168509 EPSG:900913:19 244560 264564 321838 337019 EPSG:900913:20 489121 529129 643676 674039 EPSG:900913:21 978242 1058259 1287352 1348078 EPSG:900913:22 1956484 2116519 2574704 2696157 EPSG:900913:23 3912969 4233038 5149408 5392314 EPSG:900913:24 7825938 8466076 10298816 10784628 EPSG:900913:25 15651877 16932152 20597633 21569257 EPSG:900913:26 31303754 33864304 41195266 43138515 EPSG:900913:27 62607508 67728609 82390533 86277031 EPSG:900913:28 125215016 135457218 164781067 172554063 EPSG:900913:29 250430033 270914436 329562134 345108127 EPSG:900913:30 500860066 541828873 659124269 690216254 Somalia Rivers The Shuttle Radar Topography Mission (SRTM) obtained 90-meter (3 arc-second) resolution data on a near-global scale (between 56 degrees South and 60 degrees North latitude) and 30 meter (1 arc-second) resolution over United States, providing a valuable global topographic dataset. The SRTM data were collected during an 11-day mission in February of 2000 from a radar system onboard the Space Shuttle Endeavor. 40.90907150600003 -1.329509721999955 51.35527314300003 11.978869720000034 geonode:som_rivers_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 329 10 477 515 628 658 11 955 1031 1256 1316 12 1910 2063 2513 2632 13 3821 4126 5026 5264 14 7642 8252 10053 10529 15 15285 16505 20107 21058 16 30571 33010 40215 42116 17 61142 66020 80430 84233 18 122285 132040 160861 168467 19 244570 264080 321722 336935 20 489140 528160 643444 673871 21 978280 1056321 1286888 1347742 22 1956560 2112643 2573777 2695484 23 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10053 10529 EPSG:900913:15 15285 16505 20107 21058 EPSG:900913:16 30571 33010 40215 42116 EPSG:900913:17 61142 66020 80430 84233 EPSG:900913:18 122285 132040 160861 168467 EPSG:900913:19 244570 264080 321722 336935 EPSG:900913:20 489140 528160 643444 673871 EPSG:900913:21 978280 1056321 1286888 1347742 EPSG:900913:22 1956560 2112643 2573777 2695484 EPSG:900913:23 3913120 4225286 5147554 5390968 EPSG:900913:24 7826240 8450573 10295108 10781937 EPSG:900913:25 15652480 16901146 20590217 21563874 EPSG:900913:26 31304960 33802292 41180435 43127748 EPSG:900913:27 62609921 67604585 82360871 86255497 EPSG:900913:28 125219843 135209171 164721742 172510995 EPSG:900913:29 250439687 270418342 329443485 345021990 EPSG:900913:30 500879375 540836685 658886970 690043980 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 129 314 329 EPSG:4326x2:9 221 259 628 658 EPSG:4326x2:10 443 519 1256 1316 EPSG:4326x2:11 887 1039 2513 2632 EPSG:4326x2:12 1775 2078 5026 5264 EPSG:4326x2:13 3550 4156 10053 10529 EPSG:4326x2:14 7101 8313 20107 21058 EPSG:4326x2:15 14203 16626 40215 42116 EPSG:4326x2:16 28406 33252 80430 84233 EPSG:4326x2:17 56813 66504 160861 168467 EPSG:4326x2:18 113626 133008 321722 336935 EPSG:4326x2:19 227253 266016 643444 673871 EPSG:4326x2:20 454506 532032 1286888 1347742 EPSG:4326x2:21 909012 1064065 2573777 2695484 Citrus Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_suitability_citrus other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Somalia River Gauging Stations River gauging stations along Shabelle and Juba Rivers to measure river water levels. Data is collected and compiled by FAO Somalia Water and Land Information Management (SWALIM). 42.22314514200008 1.244770000000074 45.567270000000065 4.73598000000004 geonode:som_river_gauging_stations_faoswalim3 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 249 254 316 320 10 498 508 632 641 11 997 1016 1264 1283 12 1994 2033 2528 2566 13 3988 4067 5056 5132 14 7976 8135 10113 10265 15 15952 16270 20227 20531 16 31904 32541 40454 41063 17 63809 65082 80908 82126 18 127619 130165 161817 164253 19 255238 260331 323635 328506 20 510477 520662 647271 657012 21 1020955 1041324 1294543 1314024 22 2041910 2082648 2589087 2628049 23 4083821 4165296 5178174 5256098 24 8167643 8330592 10356349 10512196 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 249 254 316 320 10 498 508 632 641 11 997 1016 1264 1283 12 1994 2033 2528 2566 13 3988 4067 5056 5132 14 7976 8135 10113 10265 15 15952 16270 20227 20531 16 31904 32541 40454 41063 17 63809 65082 80908 82126 18 127619 130165 161817 164253 19 255238 260331 323635 328506 20 510477 520662 647271 657012 21 1020955 1041324 1294543 1314024 22 2041910 2082648 2589087 2628049 23 4083821 4165296 5178174 5256098 24 8167643 8330592 10356349 10512196 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 30 31 79 80 EPSG:4326:7 60 63 158 160 EPSG:4326:8 121 126 316 320 EPSG:4326:9 242 252 632 641 EPSG:4326:10 485 504 1264 1283 EPSG:4326:11 970 1009 2528 2566 EPSG:4326:12 1940 2019 5056 5132 EPSG:4326:13 3880 4039 10113 10265 EPSG:4326:14 7760 8078 20227 20531 EPSG:4326:15 15521 16157 40454 41063 EPSG:4326:16 31043 32314 80908 82126 EPSG:4326:17 62087 64629 161817 164253 EPSG:4326:18 124174 129259 323635 328506 EPSG:4326:19 248349 258518 647271 657012 EPSG:4326:20 496698 517036 1294543 1314024 EPSG:4326:21 993397 1034073 2589087 2628049 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 62 63 79 80 EPSG:900913x2:8 124 127 158 160 EPSG:900913x2:9 249 254 316 320 EPSG:900913x2:10 498 508 632 641 EPSG:900913x2:11 997 1016 1264 1283 EPSG:900913x2:12 1994 2033 2528 2566 EPSG:900913x2:13 3988 4067 5056 5132 EPSG:900913x2:14 7976 8135 10113 10265 EPSG:900913x2:15 15952 16270 20227 20531 EPSG:900913x2:16 31904 32541 40454 41063 EPSG:900913x2:17 63809 65082 80908 82126 EPSG:900913x2:18 127619 130165 161817 164253 EPSG:900913x2:19 255238 260331 323635 328506 EPSG:900913x2:20 510477 520662 647271 657012 EPSG:900913x2:21 1020955 1041324 1294543 1314024 EPSG:900913x2:22 2041910 2082648 2589087 2628049 EPSG:900913x2:23 4083821 4165296 5178174 5256098 EPSG:900913x2:24 8167643 8330592 10356349 10512196 EPSG:900913x2:25 16335287 16661185 20712698 21024393 EPSG:900913x2:26 32670574 33322371 41425396 42048786 EPSG:900913x2:27 65341148 66644743 82850793 84097573 EPSG:900913x2:28 130682297 133289487 165701586 168195147 EPSG:900913x2:29 261364594 266578974 331403173 336390294 EPSG:900913x2:30 522729188 533157948 662806347 672780588 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 31 79 80 EPSG:4326x2:7 60 63 158 160 EPSG:4326x2:8 121 126 316 320 EPSG:4326x2:9 242 252 632 641 EPSG:4326x2:10 485 504 1264 1283 EPSG:4326x2:11 970 1009 2528 2566 EPSG:4326x2:12 1940 2019 5056 5132 EPSG:4326x2:13 3880 4039 10113 10265 EPSG:4326x2:14 7760 8078 20227 20531 EPSG:4326x2:15 15521 16157 40454 41063 EPSG:4326x2:16 31043 32314 80908 82126 EPSG:4326x2:17 62087 64629 161817 164253 EPSG:4326x2:18 124174 129259 323635 328506 EPSG:4326x2:19 248349 258518 647271 657012 EPSG:4326x2:20 496698 517036 1294543 1314024 EPSG:4326x2:21 993397 1034073 2589087 2628049 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 63 79 80 EPSG:900913:8 124 127 158 160 EPSG:900913:9 249 254 316 320 EPSG:900913:10 498 508 632 641 EPSG:900913:11 997 1016 1264 1283 EPSG:900913:12 1994 2033 2528 2566 EPSG:900913:13 3988 4067 5056 5132 EPSG:900913:14 7976 8135 10113 10265 EPSG:900913:15 15952 16270 20227 20531 EPSG:900913:16 31904 32541 40454 41063 EPSG:900913:17 63809 65082 80908 82126 EPSG:900913:18 127619 130165 161817 164253 EPSG:900913:19 255238 260331 323635 328506 EPSG:900913:20 510477 520662 647271 657012 EPSG:900913:21 1020955 1041324 1294543 1314024 EPSG:900913:22 2041910 2082648 2589087 2628049 EPSG:900913:23 4083821 4165296 5178174 5256098 EPSG:900913:24 8167643 8330592 10356349 10512196 EPSG:900913:25 16335287 16661185 20712698 21024393 EPSG:900913:26 32670574 33322371 41425396 42048786 EPSG:900913:27 65341148 66644743 82850793 84097573 EPSG:900913:28 130682297 133289487 165701586 168195147 EPSG:900913:29 261364594 266578974 331403173 336390294 EPSG:900913:30 522729188 533157948 662806347 672780588 Forage Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_forage_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 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42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Belet Weyne Soil Data (1:25000) This dataset represents the semi-detailed soil maps of selected riverine Areas of Interest (AOIs) in southern and central Somalia, including Luuq, Belet Weyne, Afgooye, Jowhar, and Kismaayo. The maps were developed through integrated soil survey methodologies combining field observations, laboratory analysis, and geospatial interpretation. The dataset provides spatial information on soil distribution, land units, and key soil physical and chemical properties. It supports agricultural planning, irrigation development, land resource management, and climate-resilient interventions in the Shabelle and Juba river basins. The mapping is part of a broader SWALIM initiative aimed at improving soil knowledge at semi-detailed scale for sustainable land use planning. Methodology The soil maps for all AOIs were developed using a standardized methodology based on FAO soil survey guidelines and adapted to the Somali landscape context. 1. Land Unit Delineation (Photointerpretation) Preliminary land units were delineated using satellite imagery and landscape interpretation based on: geomorphology landforms surface characteristics 2. Field Soil Survey Field campaigns were conducted to collect soil profile (pedon) data, including: horizon description soil depth texture structure drainage conditions 3. Laboratory Analysis Soil samples were analyzed to determine key physical and chemical properties, including: Soil texture (sand, silt, clay) Bulk density Soil pH Electrical conductivity (salinity) Organic carbon and organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable bases (Ca, Mg, K, Na) Available water capacity (AWC) 4. Soil Classification and Mapping Soils were grouped into Land Units Classified using WRB (World Reference Base for Soil Resources) Mapped at semi-detailed scale (1:25,000) 5. Soil–Landscape Database Development A comprehensive dataset was developed integrating: Soil properties Climate characteristics Physiographic and landscape attributes This database supports further applications such as land suitability analysis. Spatial Resolution / Scale Scale: 1:25,000 (semi-detailed soil mapping) Geographic Coverage Riverine agricultural areas in Somalia: Luuq Belet Weyne Afgooye Jowhar Kismaayo Located along the Juba and Shabelle river systems Soil Characteristics Included Physical Properties Texture Soil depth Structure Drainage Permeability Available Water Capacity (AWC) Rooting depth Chemical Properties Soil pH Salinity (EC) Organic carbon Organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable cations (Ca, Mg, K, Na) Alkalinity (ESP) Landscape Attributes Flooding regimes Alluvial plains and terraces Soil moisture conditions Topography (slope, elevation) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weine_25k_final_lu other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml 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495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Dolloow District Suitable Potential Higher Grounds for Evacuation During Flooding Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads\r\nBased on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. \r\nThe output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. Areas with dense TWI were eliminated to remain with only continuous areas.t provided 41.86316236027364 3.898650628720187 42.341364946848856 4.179330379725302 geonode:dollow_potentialsuitablehigherground_evacuati other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 62 62 78 79 8 125 125 157 158 9 250 250 315 316 10 500 500 631 632 11 1000 1001 1262 1264 12 2000 2003 2524 2529 13 4000 4007 5048 5059 14 8001 8014 10097 10119 15 16003 16028 20194 20238 16 32006 32057 40388 40476 17 64013 64115 80777 80952 18 128026 128230 161555 161904 19 256052 256461 323111 323808 20 512104 512923 646223 647616 21 1024208 1025847 1292446 1295232 22 2048416 2051694 2584893 2590464 23 4096832 4103388 5169786 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rivers in Southern Somalia. The layer shows the agricultural areas affected by floods in 2018. 42.08466599800005 0.289786860000049 45.742361206000055 4.998042270000042 geonode:som_flooded_agriculture_areas_faoswalim2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 78 80 8 124 127 157 160 9 248 255 315 321 10 497 511 631 642 11 995 1022 1263 1284 12 1991 2044 2526 2568 13 3982 4089 5053 5136 14 7964 8178 10107 10273 15 15928 16357 20214 20547 16 31856 32715 40429 41095 17 63713 65430 80858 82190 18 127427 130860 161717 164380 19 254855 261721 323434 328761 20 509711 523443 646868 657522 21 1019423 1046887 1293736 1315044 22 2038846 2093775 2587473 2630089 23 4077693 4187551 5174947 5260178 24 8155386 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15474 16331 40429 41095 EPSG:4326x2:16 30948 32662 80858 82190 EPSG:4326x2:17 61896 65324 161717 164380 EPSG:4326x2:18 123793 130649 323434 328761 EPSG:4326x2:19 247586 261299 646868 657522 EPSG:4326x2:20 495172 522599 1293736 1315044 EPSG:4326x2:21 990344 1045199 2587473 2630089 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 63 78 80 EPSG:900913:8 124 127 157 160 EPSG:900913:9 248 255 315 321 EPSG:900913:10 497 511 631 642 EPSG:900913:11 995 1022 1263 1284 EPSG:900913:12 1991 2044 2526 2568 EPSG:900913:13 3982 4089 5053 5136 EPSG:900913:14 7964 8178 10107 10273 EPSG:900913:15 15928 16357 20214 20547 EPSG:900913:16 31856 32715 40429 41095 EPSG:900913:17 63713 65430 80858 82190 EPSG:900913:18 127427 130860 161717 164380 EPSG:900913:19 254855 261721 323434 328761 EPSG:900913:20 509711 523443 646868 657522 EPSG:900913:21 1019423 1046887 1293736 1315044 EPSG:900913:22 2038846 2093775 2587473 2630089 EPSG:900913:23 4077693 4187551 5174947 5260178 EPSG:900913:24 8155386 8375102 10349895 10520356 EPSG:900913:25 16310772 16750205 20699791 21040713 EPSG:900913:26 32621545 33500411 41399582 42081426 EPSG:900913:27 65243091 67000823 82799164 84162852 EPSG:900913:28 130486182 134001646 165598329 168325704 EPSG:900913:29 260972364 268003292 331196658 336651409 EPSG:900913:30 521944728 536006585 662393317 673302818 Baardheere District Suitable Potential Higher Grounds For Evacuations During Flooding Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads\r\nBased on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. \r\nThe output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. Areas with dense TWI were eliminated to remain with only continuous areas. 42.12119319335759 1.9534163325692215 42.42570436324285 2.57992951358917 geonode:baardheere_potential_highergroundssuitablefor other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 63 63 78 79 8 126 126 157 158 9 252 253 315 316 10 504 506 631 632 11 1009 1012 1263 1265 12 2018 2025 2527 2530 13 4037 4051 5054 5061 14 8074 8103 10108 10122 15 16149 16206 20217 20245 16 32298 32412 40435 40491 17 64596 64824 80871 80982 18 129192 129649 161743 161965 19 258385 259298 323487 323930 20 516770 518597 646974 647861 21 1033541 1037194 1293949 1295723 22 2067083 2074388 2587899 2591447 23 4134166 4148777 5175798 5182894 24 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EPSG:4326x2:15 15914 16028 40435 40491 EPSG:4326x2:16 31828 32056 80871 80982 EPSG:4326x2:17 63657 64113 161743 161965 EPSG:4326x2:18 127314 128227 323487 323930 EPSG:4326x2:19 254629 256454 646974 647861 EPSG:4326x2:20 509258 512908 1293949 1295723 EPSG:4326x2:21 1018517 1025817 2587899 2591447 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 31 31 39 39 EPSG:900913:7 63 63 78 79 EPSG:900913:8 126 126 157 158 EPSG:900913:9 252 253 315 316 EPSG:900913:10 504 506 631 632 EPSG:900913:11 1009 1012 1263 1265 EPSG:900913:12 2018 2025 2527 2530 EPSG:900913:13 4037 4051 5054 5061 EPSG:900913:14 8074 8103 10108 10122 EPSG:900913:15 16149 16206 20217 20245 EPSG:900913:16 32298 32412 40435 40491 EPSG:900913:17 64596 64824 80871 80982 EPSG:900913:18 129192 129649 161743 161965 EPSG:900913:19 258385 259298 323487 323930 EPSG:900913:20 516770 518597 646974 647861 EPSG:900913:21 1033541 1037194 1293949 1295723 EPSG:900913:22 2067083 2074388 2587899 2591447 EPSG:900913:23 4134166 4148777 5175798 5182894 EPSG:900913:24 8268333 8297554 10351597 10365789 EPSG:900913:25 16536667 16595109 20703195 20731578 EPSG:900913:26 33073335 33190218 41406391 41463156 EPSG:900913:27 66146671 66380436 82812783 82926313 EPSG:900913:28 132293342 132760872 165625566 165852626 EPSG:900913:29 264586685 265521745 331251132 331705252 EPSG:900913:30 529173370 531043491 662502264 663410504 Somalia Admin 0 Boundary Somalia administrative boundary , admin 0 (Country of Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is a contributor. 40.994316999000034 -1.664914401999908 51.413032532000045 11.985202789000084 geonode:som_adm0_country_boundary_unocha other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15285 16535 20115 21063 16 30570 33071 40230 42127 17 61140 66142 80461 84254 18 122280 132284 160923 168509 19 244560 264569 321846 337019 20 489121 529138 643692 674039 21 978242 1058276 1287385 1348078 22 1956484 2116552 2574770 2696157 23 3912969 4233104 5149540 5392314 24 7825938 8466209 10299081 10784628 EPSG:3857x2 0 0 0 0 0 1 0 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EPSG:900913:17 61140 66142 80461 84254 EPSG:900913:18 122280 132284 160923 168509 EPSG:900913:19 244560 264569 321846 337019 EPSG:900913:20 489121 529138 643692 674039 EPSG:900913:21 978242 1058276 1287385 1348078 EPSG:900913:22 1956484 2116552 2574770 2696157 EPSG:900913:23 3912969 4233104 5149540 5392314 EPSG:900913:24 7825938 8466209 10299081 10784628 EPSG:900913:25 15651877 16932419 20598163 21569257 EPSG:900913:26 31303754 33864838 41196326 43138515 EPSG:900913:27 62607508 67729676 82392653 86277031 EPSG:900913:28 125215016 135459352 164785306 172554063 EPSG:900913:29 250430033 270918705 329570612 345108127 EPSG:900913:30 500860066 541837411 659141225 690216254 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20115 21063 EPSG:4326x2:15 14202 16687 40230 42127 EPSG:4326x2:16 28404 33374 80461 84254 EPSG:4326x2:17 56808 66748 160923 168509 EPSG:4326x2:18 113617 133496 321846 337019 EPSG:4326x2:19 227234 266993 643692 674039 EPSG:4326x2:20 454469 533986 1287385 1348078 EPSG:4326x2:21 908938 1067973 2574770 2696157 Belet Weyne District Suitable Potential Higher Grounds for Evacuation During Flooding Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads. Based on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. The output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. Areas with dense TWI were eliminated to remain with only continuous areas. 44.845503797016534 4.340550691572218 45.41536693283746 5.065590305508806 geonode:beletweyne_potential_suitable_higher_grounds_0_rlngr0f other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 62 79 80 8 124 124 159 160 9 248 249 319 320 10 497 499 639 641 11 995 999 1279 1282 12 1990 1998 2558 2564 13 3980 3997 5116 5129 14 7961 7994 10232 10258 15 15922 15988 20465 20517 16 31844 31977 40931 41035 17 63689 63954 81863 82071 18 127378 127908 163727 164142 19 254757 255816 327454 328284 20 509514 511633 654909 656569 21 1019028 1023266 1309819 1313139 22 2038056 2046532 2619639 2626279 23 4076113 4093064 5239279 5252558 24 8152226 8186129 10478559 10505117 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 62 79 80 8 124 124 159 160 9 248 249 319 320 10 497 499 639 641 11 995 999 1279 1282 12 1990 1998 2558 2564 13 3980 3997 5116 5129 14 7961 7994 10232 10258 15 15922 15988 20465 20517 16 31844 31977 40931 41035 17 63689 63954 81863 82071 18 127378 127908 163727 164142 19 254757 255816 327454 328284 20 509514 511633 654909 656569 21 1019028 1023266 1309819 1313139 22 2038056 2046532 2619639 2626279 23 4076113 4093064 5239279 5252558 24 8152226 8186129 10478559 10505117 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 30 30 79 80 EPSG:4326:7 60 60 159 160 EPSG:4326:8 120 121 319 320 EPSG:4326:9 241 243 639 641 EPSG:4326:10 483 487 1279 1282 EPSG:4326:11 966 974 2558 2564 EPSG:4326:12 1932 1949 5116 5129 EPSG:4326:13 3865 3898 10232 10258 EPSG:4326:14 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509514 511633 654909 656569 EPSG:900913x2:21 1019028 1023266 1309819 1313139 EPSG:900913x2:22 2038056 2046532 2619639 2626279 EPSG:900913x2:23 4076113 4093064 5239279 5252558 EPSG:900913x2:24 8152226 8186129 10478559 10505117 EPSG:900913x2:25 16304452 16372259 20957119 21010235 EPSG:900913x2:26 32608904 32744519 41914239 42020470 EPSG:900913x2:27 65217809 65489039 83828479 84040940 EPSG:900913x2:28 130435619 130978078 167656959 168081880 EPSG:900913x2:29 260871239 261956157 335313918 336163760 EPSG:900913x2:30 521742478 523912314 670627837 672327520 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 62 79 80 EPSG:900913:8 124 124 159 160 EPSG:900913:9 248 249 319 320 EPSG:900913:10 497 499 639 641 EPSG:900913:11 995 999 1279 1282 EPSG:900913:12 1990 1998 2558 2564 EPSG:900913:13 3980 3997 5116 5129 EPSG:900913:14 7961 7994 10232 10258 EPSG:900913:15 15922 15988 20465 20517 EPSG:900913:16 31844 31977 40931 41035 EPSG:900913:17 63689 63954 81863 82071 EPSG:900913:18 127378 127908 163727 164142 EPSG:900913:19 254757 255816 327454 328284 EPSG:900913:20 509514 511633 654909 656569 EPSG:900913:21 1019028 1023266 1309819 1313139 EPSG:900913:22 2038056 2046532 2619639 2626279 EPSG:900913:23 4076113 4093064 5239279 5252558 EPSG:900913:24 8152226 8186129 10478559 10505117 EPSG:900913:25 16304452 16372259 20957119 21010235 EPSG:900913:26 32608904 32744519 41914239 42020470 EPSG:900913:27 65217809 65489039 83828479 84040940 EPSG:900913:28 130435619 130978078 167656959 168081880 EPSG:900913:29 260871239 261956157 335313918 336163760 EPSG:900913:30 521742478 523912314 670627837 672327520 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 30 79 80 EPSG:4326x2:7 60 60 159 160 EPSG:4326x2:8 120 121 319 320 EPSG:4326x2:9 241 243 639 641 EPSG:4326x2:10 483 487 1279 1282 EPSG:4326x2:11 966 974 2558 2564 EPSG:4326x2:12 1932 1949 5116 5129 EPSG:4326x2:13 3865 3898 10232 10258 EPSG:4326x2:14 7730 7796 20465 20517 EPSG:4326x2:15 15461 15593 40931 41035 EPSG:4326x2:16 30923 31187 81863 82071 EPSG:4326x2:17 61847 62375 163727 164142 EPSG:4326x2:18 123694 124750 327454 328284 EPSG:4326x2:19 247389 249501 654909 656569 EPSG:4326x2:20 494778 499002 1309819 1313139 EPSG:4326x2:21 989557 998004 2619639 2626279 Forage (Pasture) Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_forage_pasture_suitability_v1 text/xml other other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 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ADESO_(FAOSWALIM2016) FAO-SWALIM has carried out a national assessment in Somalia to establish the types, extent, and causes of land degradation in the country. SWALIM also studied several control efforts carried out by Somalis and their development partners, documented opportunities for upscaling successful control measures, and made recommendations for implementing land degradation monitoring in the country. 46.16413400000005 6.880807000000061 51.166968000000054 11.958956000000057 geonode:som_land_degradation_adeso_faoswalim2016 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 14 15 20 20 6 29 30 40 41 7 59 61 80 82 8 119 123 160 164 9 238 246 321 328 10 477 492 643 657 11 955 984 1286 1315 12 1910 1969 2573 2630 13 3821 3939 5146 5260 14 7643 7878 10292 10520 15 15287 15756 20585 21041 16 30574 31512 41171 42082 17 61149 63024 82343 84165 18 122299 126049 164687 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EPSG:4326x2:10 443 472 1286 1315 EPSG:4326x2:11 887 945 2573 2630 EPSG:4326x2:12 1775 1891 5146 5260 EPSG:4326x2:13 3551 3782 10292 10520 EPSG:4326x2:14 7103 7565 20585 21041 EPSG:4326x2:15 14206 15131 41171 42082 EPSG:4326x2:16 28413 30262 82343 84165 EPSG:4326x2:17 56827 60525 164687 168330 EPSG:4326x2:18 113655 121051 329375 336661 EPSG:4326x2:19 227311 242102 658750 673322 EPSG:4326x2:20 454622 484204 1317501 1346645 EPSG:4326x2:21 909244 968408 2635003 2693290 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 14 15 20 20 EPSG:900913:6 29 30 40 41 EPSG:900913:7 59 61 80 82 EPSG:900913:8 119 123 160 164 EPSG:900913:9 238 246 321 328 EPSG:900913:10 477 492 643 657 EPSG:900913:11 955 984 1286 1315 EPSG:900913:12 1910 1969 2573 2630 EPSG:900913:13 3821 3939 5146 5260 EPSG:900913:14 7643 7878 10292 10520 EPSG:900913:15 15287 15756 20585 21041 EPSG:900913:16 30574 31512 41171 42082 EPSG:900913:17 61149 63024 82343 84165 EPSG:900913:18 122299 126049 164687 168330 EPSG:900913:19 244599 252098 329375 336661 EPSG:900913:20 489199 504197 658750 673322 EPSG:900913:21 978398 1008395 1317501 1346645 EPSG:900913:22 1956797 2016791 2635003 2693290 EPSG:900913:23 3913594 4033582 5270006 5386580 EPSG:900913:24 7827188 8067165 10540012 10773161 EPSG:900913:25 15654377 16134331 21080025 21546323 EPSG:900913:26 31308755 32268662 42160050 43092646 EPSG:900913:27 62617511 64537324 84320100 86185292 EPSG:900913:28 125235022 129074649 168640201 172370584 EPSG:900913:29 250470045 258149298 337280402 344741169 EPSG:900913:30 500940090 516298596 674560804 689482338 Somalia Settlements_UNOCHA_P_Coded_2011 Data is updated by Somalia Information and mapping coordination (SIMAC) working Group in 2016. Up to present in 2019 this is the settlement layer endorsed by UNOCHA and used by UN in Somalia.This file was updated on May 2018 to incorporate the P-codes. Some settlements fall outside the disputed territory due to positional error probably.For settlements classification use the field named: DEFINITION 40.992080000000044 -1.637539999999944 51.28266000000008 11.960390000000075 geonode:som_settlements_unocha2011_p_coded other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 328 10 477 516 628 657 11 955 1033 1257 1315 12 1910 2066 2514 2631 13 3821 4133 5028 5262 14 7643 8266 10057 10525 15 15287 16533 20115 21051 16 30574 33066 40230 42103 17 61149 66132 80460 84207 18 122298 132264 160921 168414 19 244597 264529 321843 336829 20 489195 529058 643686 673659 21 978390 1058116 1287372 1347319 22 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5028 5262 EPSG:4326:13 3551 4170 10057 10525 EPSG:4326:14 7103 8341 20115 21051 EPSG:4326:15 14206 16682 40230 42103 EPSG:4326:16 28413 33364 80460 84207 EPSG:4326:17 56826 66728 160921 168414 EPSG:4326:18 113653 133456 321843 336829 EPSG:4326:19 227306 266913 643686 673659 EPSG:4326:20 454613 533827 1287372 1347319 EPSG:4326:21 909227 1067654 2574744 2694638 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 328 EPSG:900913x2:10 477 516 628 657 EPSG:900913x2:11 955 1033 1257 1315 EPSG:900913x2:12 1910 2066 2514 2631 EPSG:900913x2:13 3821 4133 5028 5262 EPSG:900913x2:14 7643 8266 10057 10525 EPSG:900913x2:15 15287 16533 20115 21051 EPSG:900913x2:16 30574 33066 40230 42103 EPSG:900913x2:17 61149 66132 80460 84207 EPSG:900913x2:18 122298 132264 160921 168414 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4133 5028 5262 EPSG:900913:14 7643 8266 10057 10525 EPSG:900913:15 15287 16533 20115 21051 EPSG:900913:16 30574 33066 40230 42103 EPSG:900913:17 61149 66132 80460 84207 EPSG:900913:18 122298 132264 160921 168414 EPSG:900913:19 244597 264529 321843 336829 EPSG:900913:20 489195 529058 643686 673659 EPSG:900913:21 978390 1058116 1287372 1347319 EPSG:900913:22 1956780 2116233 2574744 2694638 EPSG:900913:23 3913560 4232466 5149488 5389276 EPSG:900913:24 7827120 8464933 10298977 10778553 EPSG:900913:25 15654241 16929866 20597954 21557106 EPSG:900913:26 31308482 33859733 41195909 43114212 EPSG:900913:27 62616964 67719466 82391819 86228425 EPSG:900913:28 125233929 135438932 164783638 172456850 EPSG:900913:29 250467859 270877865 329567276 344913701 EPSG:900913:30 500935718 541755730 659134552 689827403 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 328 EPSG:4326x2:9 221 260 628 657 EPSG:4326x2:10 443 521 1257 1315 EPSG:4326x2:11 887 1042 2514 2631 EPSG:4326x2:12 1775 2085 5028 5262 EPSG:4326x2:13 3551 4170 10057 10525 EPSG:4326x2:14 7103 8341 20115 21051 EPSG:4326x2:15 14206 16682 40230 42103 EPSG:4326x2:16 28413 33364 80460 84207 EPSG:4326x2:17 56826 66728 160921 168414 EPSG:4326x2:18 113653 133456 321843 336829 EPSG:4326x2:19 227306 266913 643686 673659 EPSG:4326x2:20 454613 533827 1287372 1347319 EPSG:4326x2:21 909227 1067654 2574744 2694638 Sorghum Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_sorghum_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 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159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Strategic Water Sources - 2025 No abstract provided -180.0 -90.0 180.0 90.0 geonode:all_watersources other other other other text/xml other other other other other text/xml other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 EPSG:3857x2 EPSG:4326 EPSG:900913x2 EPSG:900913 EPSG:4326x2 Date Palm Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye__darte_palm_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 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2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 31 31 79 80 EPSG:4326:7 62 62 159 160 EPSG:4326:8 124 125 319 320 EPSG:4326:9 249 251 638 640 EPSG:4326:10 499 502 1277 1280 EPSG:4326:11 999 1004 2555 2561 EPSG:4326:12 1998 2008 5111 5123 EPSG:4326:13 3996 4017 10223 10247 EPSG:4326:14 7992 8034 20447 20495 EPSG:4326:15 15985 16069 40895 40990 EPSG:4326:16 31971 32139 81791 81980 EPSG:4326:17 63942 64279 163582 163961 EPSG:4326:18 127884 128559 327165 327922 EPSG:4326:19 255768 257118 654330 655844 EPSG:4326:20 511536 514236 1308660 1311688 EPSG:4326:21 1023073 1028473 2617320 2623376 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 63 63 79 80 EPSG:900913x2:8 126 126 159 160 EPSG:900913x2:9 252 253 319 320 EPSG:900913x2:10 505 507 638 640 EPSG:900913x2:11 1011 1014 1277 1280 EPSG:900913x2:12 2023 2028 2555 2561 EPSG:900913x2:13 4046 4056 5111 5123 EPSG:900913x2:14 8092 8113 10223 10247 EPSG:900913x2:15 16184 16226 20447 20495 EPSG:900913x2:16 32369 32453 40895 40990 EPSG:900913x2:17 64738 64907 81791 81980 EPSG:900913x2:18 129477 129815 163582 163961 EPSG:900913x2:19 258955 259630 327165 327922 EPSG:900913x2:20 517910 519261 654330 655844 EPSG:900913x2:21 1035821 1038523 1308660 1311688 EPSG:900913x2:22 2071643 2077046 2617320 2623376 EPSG:900913x2:23 4143286 4154093 5234640 5246752 EPSG:900913x2:24 8286572 8308186 10469281 10493505 EPSG:900913x2:25 16573145 16616372 20938563 20987011 EPSG:900913x2:26 33146290 33232744 41877127 41974023 EPSG:900913x2:27 66292581 66465489 83754254 83948047 EPSG:900913x2:28 132585163 132930978 167508508 167896095 EPSG:900913x2:29 265170327 265861956 335017016 335792191 EPSG:900913x2:30 530340655 531723912 670034032 671584382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 31 31 79 80 EPSG:4326x2:7 62 62 159 160 EPSG:4326x2:8 124 125 319 320 EPSG:4326x2:9 249 251 638 640 EPSG:4326x2:10 499 502 1277 1280 EPSG:4326x2:11 999 1004 2555 2561 EPSG:4326x2:12 1998 2008 5111 5123 EPSG:4326x2:13 3996 4017 10223 10247 EPSG:4326x2:14 7992 8034 20447 20495 EPSG:4326x2:15 15985 16069 40895 40990 EPSG:4326x2:16 31971 32139 81791 81980 EPSG:4326x2:17 63942 64279 163582 163961 EPSG:4326x2:18 127884 128559 327165 327922 EPSG:4326x2:19 255768 257118 654330 655844 EPSG:4326x2:20 511536 514236 1308660 1311688 EPSG:4326x2:21 1023073 1028473 2617320 2623376 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Landcover of Riverine Areas - 2007 Land cover is the physical material at the surface of the earth. Land cover includes grass, asphalt, trees, bare ground, water, etc. The land cover map of the riverine areas forms the most recent, most detailed and most consistent data set produced by SWALIM. The map is result of exhaustive aerial photograph interpretation by SWALIM experts. However, the map gives more attention to the cropped areas, giving the crop type and acreage. The final map has been aggregated into few manageable land cover classes. Among the striking features of the map are the areas that were once cropped and now remain abandoned. 41.28020095800008 -0.510218972999951 46.150032544000055 5.060045358000025 geonode:landcover_riverine_2007 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 314 321 10 497 513 629 643 11 995 1026 1258 1286 12 1990 2053 2517 2573 13 3980 4107 5035 5146 14 7961 8215 10070 10292 15 15922 16430 20141 20584 16 31845 32860 40282 41169 17 63691 65721 80565 82338 18 127382 131443 161131 164677 19 254765 262887 322262 329354 20 509530 525774 644525 658709 21 1019060 1051548 1289050 1317419 22 2038121 2103096 2578101 2634838 23 4076242 4206193 5156202 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EPSG:900913:15 15922 16430 20141 20584 EPSG:900913:16 31845 32860 40282 41169 EPSG:900913:17 63691 65721 80565 82338 EPSG:900913:18 127382 131443 161131 164677 EPSG:900913:19 254765 262887 322262 329354 EPSG:900913:20 509530 525774 644525 658709 EPSG:900913:21 1019060 1051548 1289050 1317419 EPSG:900913:22 2038121 2103096 2578101 2634838 EPSG:900913:23 4076242 4206193 5156202 5269677 EPSG:900913:24 8152485 8412386 10312404 10539355 EPSG:900913:25 16304971 16824772 20624809 21078710 EPSG:900913:26 32609942 33649544 41249619 42157421 EPSG:900913:27 65219885 67299089 82499238 84314843 EPSG:900913:28 130439770 134598179 164998476 168629686 EPSG:900913:29 260879541 269196359 329996953 337259372 EPSG:900913:30 521759082 538392719 659993907 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 314 321 EPSG:4326x2:9 241 257 629 643 EPSG:4326x2:10 483 514 1258 1286 EPSG:4326x2:11 966 1029 2517 2573 EPSG:4326x2:12 1932 2059 5035 5146 EPSG:4326x2:13 3865 4119 10070 10292 EPSG:4326x2:14 7731 8238 20141 20584 EPSG:4326x2:15 15462 16476 40282 41169 EPSG:4326x2:16 30925 32953 80565 82338 EPSG:4326x2:17 61851 65907 161131 164677 EPSG:4326x2:18 123702 131815 322262 329354 EPSG:4326x2:19 247405 263630 644525 658709 EPSG:4326x2:20 494811 527260 1289050 1317419 EPSG:4326x2:21 989622 1054520 2578101 2634838 Forest Suitability of BalanitesAegyptiaca in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Balanites Aegyptiacain selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:land_forestsuitability_balanitesaegyptiaca_n other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 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EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Forage Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye__forage_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 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159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Forest Suitability of AcaciaTortilis in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Acacia Tortilis in selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_acaciatortilis_n_f other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 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1804 1839 5074 5107 EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 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EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Somalia Major Towns DATA AND INFORMATION MANAGEMENT UNIT (DIMU) ORGANIZATION: UNITED NATIONS DEVELOPMENT PROGRAMME (UNDP SOMALIA) MODIFIED BY: DATA AND INFORMATION MANAGEMENT UNIT UNDP SOMALIA MODIFICATION DATES: 22/03/2001 The towns were extratced from settlements digitized from Somalia topographic maps at a scale of 1: 100,000. The maps were produced by stereo photography using aerial photography 1974.Printed 1976 by Bureau of cartography, Ministry of Defence, Somalia Democratic government. Reprinted by Canadian Forces Mapping and Charting Establishment from reprographic material of native Somalia mapping by the British Director of Military Survey. Other settlements were collated from gazetteer data ( Defense Mapping Agency USA) and UNDOS, populations surveys 1997/98 of N.W Somalia- Middle and lower Shabelle. STATUS COMPLETE TABLES SOURCE: DATA AND INFORMATION MANAGEMENT UNIT UNDP SOMALIA SOURCE PUBLICATION DATE: 2000 ATTRIBUTE RELIABILITY: Good STATUS: COMPLETE FIELDS DESCRIPTION SETT_ID Internal Feature Number HUTS Number of huts in a settlement HOUSES Number of houses in a settlement NAME Name of the settlement PCODE Alphanumeric coding system for coding the settlements based on the region and district they belong to. CODE Code assigned to the settlements to classify them. Code definition 1 = Settlement 5 = Other town 10 = District town 100 = Regional Capital 1000 = Capital town REG_CODE Codes assigned to the regions. From 1 to 17 REGION Name of the region DISTRICT Name of the district SOURCE Source of the settlement either gazetteer, topomap or survey. PPRWARES Population pre-war estimated using number of nomadic huts. PPRWANS Population pre-war estimated using number of houses. TOP_POP Population from the topomaps. SUR_POP Field Survey populations. X COOD X coordinate of the settlement or the easting Y COOD Y coordinate of the settlement or the northing. 40.99829101600005 -1.035369991999971 50.81222915600006 11.965310097000042 geonode:som_major_towns other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 514 628 656 11 955 1029 1257 1313 12 1910 2059 2514 2626 13 3821 4119 5028 5252 14 7643 8239 10057 10504 15 15286 16478 20115 21009 16 30573 32956 40231 42018 17 61147 65912 80463 84036 18 122295 131825 160926 168072 19 244590 263651 321852 336144 20 489180 527303 643704 672289 21 978360 1054607 1287408 1344578 22 1956721 2109215 2574816 2689157 23 3913443 4218431 5149633 5378314 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1054607 1287408 1344578 EPSG:900913:22 1956721 2109215 2574816 2689157 EPSG:900913:23 3913443 4218431 5149633 5378314 EPSG:900913:24 7826886 8436862 10299266 10756629 EPSG:900913:25 15653772 16873724 20598533 21513259 EPSG:900913:26 31307544 33747449 41197067 43026518 EPSG:900913:27 62615089 67494898 82394134 86053036 EPSG:900913:28 125230179 134989797 164788269 172106072 EPSG:900913:29 250460359 269979595 329576539 344212144 EPSG:900913:30 500920718 539959191 659153078 688424288 Kismaayo Soil Data (1:25000) This dataset represents the semi-detailed soil maps of selected riverine Areas of Interest (AOIs) in southern and central Somalia, including Luuq, Belet Weyne, Afgooye, Jowhar, and Kismaayo. The maps were developed through integrated soil survey methodologies combining field observations, laboratory analysis, and geospatial interpretation. The dataset provides spatial information on soil distribution, land units, and key soil physical and chemical properties. It supports agricultural planning, irrigation development, land resource management, and climate-resilient interventions in the Shabelle and Juba river basins. The mapping is part of a broader SWALIM initiative aimed at improving soil knowledge at semi-detailed scale for sustainable land use planning. Methodology The soil maps for all AOIs were developed using a standardized methodology based on FAO soil survey guidelines and adapted to the Somali landscape context. 1. Land Unit Delineation (Photointerpretation) Preliminary land units were delineated using satellite imagery and landscape interpretation based on: geomorphology landforms surface characteristics 2. Field Soil Survey Field campaigns were conducted to collect soil profile (pedon) data, including: horizon description soil depth texture structure drainage conditions 3. Laboratory Analysis Soil samples were analyzed to determine key physical and chemical properties, including: Soil texture (sand, silt, clay) Bulk density Soil pH Electrical conductivity (salinity) Organic carbon and organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable bases (Ca, Mg, K, Na) Available water capacity (AWC) 4. Soil Classification and Mapping Soils were grouped into Land Units Classified using WRB (World Reference Base for Soil Resources) Mapped at semi-detailed scale (1:25,000) 5. Soil–Landscape Database Development A comprehensive dataset was developed integrating: Soil properties Climate characteristics Physiographic and landscape attributes This database supports further applications such as land suitability analysis. Spatial Resolution / Scale Scale: 1:25,000 (semi-detailed soil mapping) Geographic Coverage Riverine agricultural areas in Somalia: Luuq Belet Weyne Afgooye Jowhar Kismaayo Located along the Juba and Shabelle river systems Soil Characteristics Included Physical Properties Texture Soil depth Structure Drainage Permeability Available Water Capacity (AWC) Rooting depth Chemical Properties Soil pH Salinity (EC) Organic carbon Organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable cations (Ca, Mg, K, Na) Alkalinity (ESP) Landscape Attributes Flooding regimes Alluvial plains and terraces Soil moisture conditions Topography (slope, elevation) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_soilmap_soildata_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml 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524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Countries Neighboring Somalia Administrative boundaries of Somalia neighboring countires 32.99993896500007 -4.67804670299995 54.53052902200005 19.00233268700009 geonode:som_neighbouring_countries other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 18 20 6 28 32 37 41 7 57 65 75 83 8 114 131 151 166 9 228 262 302 333 10 456 525 605 667 11 913 1050 1211 1334 12 1827 2101 2423 2668 13 3655 4202 4846 5336 14 7310 8405 9693 10673 15 14621 16810 19387 21347 16 29243 33620 38775 42694 17 58487 67241 77550 85389 18 116974 134482 155101 170779 19 233948 268964 310203 341559 20 467896 537928 620407 683119 21 935792 1075857 1240814 1366239 22 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EPSG:900913:20 467896 537928 620407 683119 EPSG:900913:21 935792 1075857 1240814 1366239 EPSG:900913:22 1871584 2151715 2481629 2732478 EPSG:900913:23 3743169 4303431 4963258 5464957 EPSG:900913:24 7486339 8606863 9926516 10929914 EPSG:900913:25 14972678 17213726 19853033 21859829 EPSG:900913:26 29945357 34427453 39706066 43719659 EPSG:900913:27 59890714 68854907 79412132 87439318 EPSG:900913:28 119781428 137709814 158824265 174878637 EPSG:900913:29 239562857 275419628 317648531 349757275 EPSG:900913:30 479125715 550839257 635297063 699514550 Sesame Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_sesame_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 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2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 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42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Afgooye Soil Data (1:25000) This dataset represents the semi-detailed soil maps of selected riverine Areas of Interest (AOIs) in southern and central Somalia, including Luuq, Belet Weyne, Afgooye, Jowhar, and Kismaayo. The maps were developed through integrated soil survey methodologies combining field observations, laboratory analysis, and geospatial interpretation. The dataset provides spatial information on soil distribution, land units, and key soil physical and chemical properties. It supports agricultural planning, irrigation development, land resource management, and climate-resilient interventions in the Shabelle and Juba river basins. The mapping is part of a broader SWALIM initiative aimed at improving soil knowledge at semi-detailed scale for sustainable land use planning. Methodology The soil maps for all AOIs were developed using a standardized methodology based on FAO soil survey guidelines and adapted to the Somali landscape context. 1. Land Unit Delineation (Photointerpretation) Preliminary land units were delineated using satellite imagery and landscape interpretation based on: geomorphology landforms surface characteristics 2. Field Soil Survey Field campaigns were conducted to collect soil profile (pedon) data, including: horizon description soil depth texture structure drainage conditions 3. Laboratory Analysis Soil samples were analyzed to determine key physical and chemical properties, including: Soil texture (sand, silt, clay) Bulk density Soil pH Electrical conductivity (salinity) Organic carbon and organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable bases (Ca, Mg, K, Na) Available water capacity (AWC) 4. Soil Classification and Mapping Soils were grouped into Land Units Classified using WRB (World Reference Base for Soil Resources) Mapped at semi-detailed scale (1:25,000) 5. Soil–Landscape Database Development A comprehensive dataset was developed integrating: Soil properties Climate characteristics Physiographic and landscape attributes This database supports further applications such as land suitability analysis. Spatial Resolution / Scale Scale: 1:25,000 (semi-detailed soil mapping) Geographic Coverage Riverine agricultural areas in Somalia: Luuq Belet Weyne Afgooye Jowhar Kismaayo Located along the Juba and Shabelle river systems Soil Characteristics Included Physical Properties Texture Soil depth Structure Drainage Permeability Available Water Capacity (AWC) Rooting depth Chemical Properties Soil pH Salinity (EC) Organic carbon Organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable cations (Ca, Mg, K, Na) Alkalinity (ESP) Landscape Attributes Flooding regimes Alluvial plains and terraces Soil moisture conditions Topography (slope, elevation) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_final_soil_map_utm38n other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml 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EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Onion Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for irrigated onion cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for onion production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data (covering only about 25% of land units), SoilGrids machine learning-derived data was used to fill spatial gaps and derive key soil parameters across multiple depths The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation, erosion risk) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was conducted under irrigated conditions, as onion cultivation requires irrigation and water availability was not included in the evaluation 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_onion_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 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2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2020 FAO SWALIM has finalized the analysis and mapping of the river breakages along the Juba and Shabelle rivers using very high resolution satellite imagery. Breakages identified in the map have been classified into five different categories; Open, Overflow, Potential Overflows, Potential breakages and Closed with sandbags. A total of 154 Open points have been identified, 109 on the Shabelle River and 45 on the Juba River which require immediate attention. 42.068186 -0.07097 45.67867 4.89294 geonode:shabelle_juba_aug_2020frrmis__w9i4api other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587281 2629347 23 4080151 4195957 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8198 20213 20541 EPSG:4326x2:15 15493 16396 40426 41083 EPSG:4326x2:16 30986 32793 80852 82167 EPSG:4326x2:17 61973 65587 161705 164334 EPSG:4326x2:18 123946 131175 323410 328668 EPSG:4326x2:19 247892 262350 646820 657336 EPSG:4326x2:20 495784 524701 1293640 1314673 EPSG:4326x2:21 991569 1049402 2587281 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3984 4097 5053 5135 EPSG:900913:14 7969 8195 10106 10270 EPSG:900913:15 15938 16390 20213 20541 EPSG:900913:16 31876 32780 40426 41083 EPSG:900913:17 63752 65561 80852 82167 EPSG:900913:18 127504 131123 161705 164334 EPSG:900913:19 255009 262247 323410 328668 EPSG:900913:20 510018 524494 646820 657336 EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587281 2629347 EPSG:900913:23 4080151 4195957 5174563 5258694 EPSG:900913:24 8160302 8391915 10349127 10517388 EPSG:900913:25 16320605 16783830 20698255 21034776 EPSG:900913:26 32641211 33567661 41396510 42069553 EPSG:900913:27 65282422 67135323 82793020 84139106 EPSG:900913:28 130564844 134270647 165586041 168278213 EPSG:900913:29 261129689 268541294 331172082 336556426 EPSG:900913:30 522259379 537082588 662344164 673112852 Mango Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_mango_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 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the implementation of the FAO-IGAD partnership, SWALIM developed a trans-boundary land cover map of the Gedo region. In addition to this activity, SWALIM also produced a map of 1270 water ponds which are seasonal. 40.99177461100004 2.075004162000028 42.734553756000025 4.242148429000054 geonode:som_gedo_temporary_water_points_fao_igad other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 62 63 78 79 8 124 126 157 158 9 249 253 314 316 10 499 506 628 633 11 999 1012 1257 1267 12 1999 2024 2514 2534 13 3999 4048 5028 5068 14 7998 8097 10057 10136 15 15997 16195 20115 20273 16 31995 32390 40230 40547 17 63990 64780 80460 81095 18 127980 129560 160921 162190 19 255960 259121 321842 324380 20 511920 518242 643685 648761 21 1023841 1036485 1287370 1297522 22 2047682 2072971 2574740 2595045 23 4095364 4145942 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20115 20273 EPSG:4326x2:15 15611 16006 40230 40547 EPSG:4326x2:16 31223 32012 80460 81095 EPSG:4326x2:17 62446 64025 160921 162190 EPSG:4326x2:18 124893 128050 321842 324380 EPSG:4326x2:19 249787 256100 643685 648761 EPSG:4326x2:20 499575 512200 1287370 1297522 EPSG:4326x2:21 999151 1024400 2574740 2595045 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 31 31 39 39 EPSG:900913:7 62 63 78 79 EPSG:900913:8 124 126 157 158 EPSG:900913:9 249 253 314 316 EPSG:900913:10 499 506 628 633 EPSG:900913:11 999 1012 1257 1267 EPSG:900913:12 1999 2024 2514 2534 EPSG:900913:13 3999 4048 5028 5068 EPSG:900913:14 7998 8097 10057 10136 EPSG:900913:15 15997 16195 20115 20273 EPSG:900913:16 31995 32390 40230 40547 EPSG:900913:17 63990 64780 80460 81095 EPSG:900913:18 127980 129560 160921 162190 EPSG:900913:19 255960 259121 321842 324380 EPSG:900913:20 511920 518242 643685 648761 EPSG:900913:21 1023841 1036485 1287370 1297522 EPSG:900913:22 2047682 2072971 2574740 2595045 EPSG:900913:23 4095364 4145942 5149481 5190091 EPSG:900913:24 8190728 8291884 10298963 10380182 EPSG:900913:25 16381457 16583769 20597926 20760365 EPSG:900913:26 32762914 33167538 41195852 41520730 EPSG:900913:27 65525829 66335077 82391705 83041460 EPSG:900913:28 131051658 132670154 164783410 166082920 EPSG:900913:29 262103317 265340308 329566821 332165841 EPSG:900913:30 524206635 530680617 659133642 664331683 Somalia Irrigation Schemes In pre-war Somalia (before 1990), large-scale irrigation schemes existed along the Juba and Shabelle basins. These controlled irrigation systems consisting of barrages, canals and other infrastructure, were constructed in the middle and lower reaches of both rivers. Before the collapse of the government, the Somali Ministry of Agriculture estimated that 112,950ha 43.69811050700008 1.15576261800004 45.60011837600007 4.828188038000064 geonode:som_irrigation_schemes_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 159 160 9 249 254 318 320 10 498 508 636 641 11 996 1017 1272 1283 12 1993 2034 2545 2566 13 3986 4069 5090 5133 14 7972 8139 10180 10267 15 15944 16278 20361 20534 16 31888 32557 40722 41069 17 63776 65115 81445 82138 18 127552 130230 162891 164276 19 255104 260460 325783 328553 20 510208 520921 651567 657107 21 1020416 1041842 1303135 1314215 22 2040832 2083685 2606271 2628431 23 4081665 4167370 5212543 5256863 24 8163331 8334741 10425087 10513727 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 159 160 9 249 254 318 320 10 498 508 636 641 11 996 1017 1272 1283 12 1993 2034 2545 2566 13 3986 4069 5090 5133 14 7972 8139 10180 10267 15 15944 16278 20361 20534 16 31888 32557 40722 41069 17 63776 65115 81445 82138 18 127552 130230 162891 164276 19 255104 260460 325783 328553 20 510208 520921 651567 657107 21 1020416 1041842 1303135 1314215 22 2040832 2083685 2606271 2628431 23 4081665 4167370 5212543 5256863 24 8163331 8334741 10425087 10513727 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 30 31 79 80 EPSG:4326:7 60 63 159 160 EPSG:4326:8 121 126 318 320 EPSG:4326:9 242 252 636 641 EPSG:4326:10 484 505 1272 1283 EPSG:4326:11 969 1010 2545 2566 EPSG:4326:12 1938 2021 5090 5133 EPSG:4326:13 3876 4043 10180 10267 EPSG:4326:14 7752 8086 20361 20534 EPSG:4326:15 15505 16173 40722 41069 EPSG:4326:16 31010 32347 81445 82138 EPSG:4326:17 62020 64694 162891 164276 EPSG:4326:18 124040 129388 325783 328553 EPSG:4326:19 248080 258777 651567 657107 EPSG:4326:20 496161 517555 1303135 1314215 EPSG:4326:21 992323 1035110 2606271 2628431 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 62 63 79 80 EPSG:900913x2:8 124 127 159 160 EPSG:900913x2:9 249 254 318 320 EPSG:900913x2:10 498 508 636 641 EPSG:900913x2:11 996 1017 1272 1283 EPSG:900913x2:12 1993 2034 2545 2566 EPSG:900913x2:13 3986 4069 5090 5133 EPSG:900913x2:14 7972 8139 10180 10267 EPSG:900913x2:15 15944 16278 20361 20534 EPSG:900913x2:16 31888 32557 40722 41069 EPSG:900913x2:17 63776 65115 81445 82138 EPSG:900913x2:18 127552 130230 162891 164276 EPSG:900913x2:19 255104 260460 325783 328553 EPSG:900913x2:20 510208 520921 651567 657107 EPSG:900913x2:21 1020416 1041842 1303135 1314215 EPSG:900913x2:22 2040832 2083685 2606271 2628431 EPSG:900913x2:23 4081665 4167370 5212543 5256863 EPSG:900913x2:24 8163331 8334741 10425087 10513727 EPSG:900913x2:25 16326662 16669483 20850175 21027455 EPSG:900913x2:26 32653325 33338967 41700350 42054910 EPSG:900913x2:27 65306650 66677935 83400700 84109820 EPSG:900913x2:28 130613301 133355870 166801400 168219640 EPSG:900913x2:29 261226603 266711740 333602801 336439281 EPSG:900913x2:30 522453206 533423481 667205603 672878562 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 63 79 80 EPSG:900913:8 124 127 159 160 EPSG:900913:9 249 254 318 320 EPSG:900913:10 498 508 636 641 EPSG:900913:11 996 1017 1272 1283 EPSG:900913:12 1993 2034 2545 2566 EPSG:900913:13 3986 4069 5090 5133 EPSG:900913:14 7972 8139 10180 10267 EPSG:900913:15 15944 16278 20361 20534 EPSG:900913:16 31888 32557 40722 41069 EPSG:900913:17 63776 65115 81445 82138 EPSG:900913:18 127552 130230 162891 164276 EPSG:900913:19 255104 260460 325783 328553 EPSG:900913:20 510208 520921 651567 657107 EPSG:900913:21 1020416 1041842 1303135 1314215 EPSG:900913:22 2040832 2083685 2606271 2628431 EPSG:900913:23 4081665 4167370 5212543 5256863 EPSG:900913:24 8163331 8334741 10425087 10513727 EPSG:900913:25 16326662 16669483 20850175 21027455 EPSG:900913:26 32653325 33338967 41700350 42054910 EPSG:900913:27 65306650 66677935 83400700 84109820 EPSG:900913:28 130613301 133355870 166801400 168219640 EPSG:900913:29 261226603 266711740 333602801 336439281 EPSG:900913:30 522453206 533423481 667205603 672878562 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 31 79 80 EPSG:4326x2:7 60 63 159 160 EPSG:4326x2:8 121 126 318 320 EPSG:4326x2:9 242 252 636 641 EPSG:4326x2:10 484 505 1272 1283 EPSG:4326x2:11 969 1010 2545 2566 EPSG:4326x2:12 1938 2021 5090 5133 EPSG:4326x2:13 3876 4043 10180 10267 EPSG:4326x2:14 7752 8086 20361 20534 EPSG:4326x2:15 15505 16173 40722 41069 EPSG:4326x2:16 31010 32347 81445 82138 EPSG:4326x2:17 62020 64694 162891 164276 EPSG:4326x2:18 124040 129388 325783 328553 EPSG:4326x2:19 248080 258777 651567 657107 EPSG:4326x2:20 496161 517555 1303135 1314215 EPSG:4326x2:21 992323 1035110 2606271 2628431 Paddy Rice Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_paddy_rice_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Hydrogeology Assessment of Gedo Region – Aquifer Systems This dataset represents the hydrogeological assessment of Gedo Region, Somalia, prepared under the FAO SWALIM Programme. The main objective of the study was to improve water supply availability by identifying sustainable groundwater resources through evaluation of existing hydrogeological data and remote sensing applications. Groundwater is the sole water source for much of the region, apart from the Juba River. Methodology Summary The study compiled and analysed geological, geophysical, hydrological, and hydrogeological information from previous surveys, SWIMS database, and NGO reports. Remote sensing analysis of LANDSAT imagery was used to assess geomorphology, hydrography, fault patterns, and lithostratigraphic boundaries. GIS tools supported aquifer classification, groundwater flow modelling, hydrochemistry evaluation, and map production. Key activities included: Classification of aquifers and aquicludes, evaluation of recharge, flow directions, and discharge. Hydrochemistry assessment and review of water quality data. Development of a regional hydrogeological map at 1:500,000 scale showing aquifer systems, groundwater flow, major water points, and hydrographic networks. Selection and detailed mapping of three Areas of Interest (AoIs) at 1:200,000 scale, including groundwater resource assessment and water demand estimation. Identification of priority zones for groundwater exploration and drilling. Proposal for an initial groundwater monitoring network and recommendations for sustainable water use. Coverage Geographic extent: Gedo Region, Somalia Scale: Regional (1:500,000); local AoIs (1:200,000) Thematic Content Aquifer systems (intergranular, fissured-karstic, complex) Aquicludes River basins and hydrographic networks Groundwater flow directions Water points (boreholes, shallow wells) Hydrochemistry information Areas of Interest for detailed assessment Data Sources SWIMS Database (FAO SWALIM) Previous hydrogeological and geophysical surveys Remote sensing analysis (LANDSAT imagery) Adaptation of Abbate et al. (1994) regional geological map 40.98121671328216 1.2326622410209658 43.144298889537644 4.307583854094412 geonode:gedo_acquifers other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 62 63 78 79 8 124 127 157 158 9 249 254 314 317 10 499 508 628 634 11 999 1016 1257 1269 12 1998 2033 2514 2538 13 3997 4067 5028 5077 14 7995 8135 10057 10155 15 15991 16271 20114 20311 16 31983 32543 40228 40622 17 63966 65087 80456 81244 18 127932 130174 160913 162488 19 255864 260348 321827 324977 20 511729 520697 643654 649954 21 1023458 1041394 1287308 1299909 22 2046917 2082789 2574617 2599819 23 4093835 4165578 5149235 5199639 24 8187670 8331157 10298471 10399278 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 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EPSG:900913:17 63966 65087 80456 81244 EPSG:900913:18 127932 130174 160913 162488 EPSG:900913:19 255864 260348 321827 324977 EPSG:900913:20 511729 520697 643654 649954 EPSG:900913:21 1023458 1041394 1287308 1299909 EPSG:900913:22 2046917 2082789 2574617 2599819 EPSG:900913:23 4093835 4165578 5149235 5199639 EPSG:900913:24 8187670 8331157 10298471 10399278 EPSG:900913:25 16375341 16662314 20596942 20798556 EPSG:900913:26 32750682 33324629 41193884 41597112 EPSG:900913:27 65501365 66649258 82387768 83194224 EPSG:900913:28 131002730 133298517 164775537 166388448 EPSG:900913:29 262005461 266597035 329551075 332776897 EPSG:900913:30 524010922 533194070 659102151 665553795 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 15 15 39 39 EPSG:4326x2:6 30 31 78 79 EPSG:4326x2:7 60 63 157 158 EPSG:4326x2:8 121 126 314 317 EPSG:4326x2:9 243 252 628 634 EPSG:4326x2:10 487 504 1257 1269 EPSG:4326x2:11 974 1009 2514 2538 EPSG:4326x2:12 1949 2019 5028 5077 EPSG:4326x2:13 3899 4039 10057 10155 EPSG:4326x2:14 7799 8079 20114 20311 EPSG:4326x2:15 15599 16159 40228 40622 EPSG:4326x2:16 31199 32319 80456 81244 EPSG:4326x2:17 62399 64638 160913 162488 EPSG:4326x2:18 124798 129276 321827 324977 EPSG:4326x2:19 249597 258553 643654 649954 EPSG:4326x2:20 499194 517107 1287308 1299909 EPSG:4326x2:21 998389 1034214 2574617 2599819 Status of River Breakages along Juba and Shabelle Rivers - Issued March 2024 FAO-SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Four types of breakages have been identified, namely; open, overflow, Canal Flooding Point, and closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. \r\n\r\n299 Open breakage points have been identified, 190 on the Shabelle River and 109 on the Juba River which require immediate action. Additionally, 97 Canal Overflow points and 747 Overflows were also identified during this season.\r\n\r\nUsers are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available. 42.06809 -0.09637 45.67867 4.89294 geonode:pre_gu_2024_frmmis_march_2024 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2049 2526 2567 13 3984 4098 5053 5135 14 7969 8196 10106 10270 15 15938 16392 20213 20541 16 31876 32785 40426 41083 17 63752 65571 80852 82167 18 127504 131142 161705 164334 19 255009 262284 323410 328668 20 510018 524568 646820 657336 21 1020037 1049137 1293640 1314673 22 2040075 2098274 2587280 2629347 23 4080151 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EPSG:900913x2:20 510018 524568 646820 657336 EPSG:900913x2:21 1020037 1049137 1293640 1314673 EPSG:900913x2:22 2040075 2098274 2587280 2629347 EPSG:900913x2:23 4080151 4196549 5174561 5258694 EPSG:900913x2:24 8160302 8393099 10349123 10517388 EPSG:900913x2:25 16320605 16786198 20698246 21034776 EPSG:900913x2:26 32641211 33572396 41396492 42069553 EPSG:900913x2:27 65282422 67144793 82792984 84139106 EPSG:900913x2:28 130564844 134289586 165585969 168278213 EPSG:900913x2:29 261129689 268579173 331171938 336556426 EPSG:900913x2:30 522259379 537158346 662343877 673112852 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 121 128 315 320 EPSG:4326x2:9 242 256 631 641 EPSG:4326x2:10 484 512 1263 1283 EPSG:4326x2:11 968 1025 2526 2567 EPSG:4326x2:12 1936 2050 5053 5135 EPSG:4326x2:13 3873 4100 10106 10270 EPSG:4326x2:14 7746 8200 20213 20541 EPSG:4326x2:15 15493 16401 40426 41083 EPSG:4326x2:16 30986 32803 80852 82167 EPSG:4326x2:17 61973 65606 161705 164334 EPSG:4326x2:18 123946 131212 323410 328668 EPSG:4326x2:19 247892 262424 646820 657336 EPSG:4326x2:20 495784 524849 1293640 1314673 EPSG:4326x2:21 991569 1049698 2587280 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2049 2526 2567 EPSG:900913:13 3984 4098 5053 5135 EPSG:900913:14 7969 8196 10106 10270 EPSG:900913:15 15938 16392 20213 20541 EPSG:900913:16 31876 32785 40426 41083 EPSG:900913:17 63752 65571 80852 82167 EPSG:900913:18 127504 131142 161705 164334 EPSG:900913:19 255009 262284 323410 328668 EPSG:900913:20 510018 524568 646820 657336 EPSG:900913:21 1020037 1049137 1293640 1314673 EPSG:900913:22 2040075 2098274 2587280 2629347 EPSG:900913:23 4080151 4196549 5174561 5258694 EPSG:900913:24 8160302 8393099 10349123 10517388 EPSG:900913:25 16320605 16786198 20698246 21034776 EPSG:900913:26 32641211 33572396 41396492 42069553 EPSG:900913:27 65282422 67144793 82792984 84139106 EPSG:900913:28 130564844 134289586 165585969 168278213 EPSG:900913:29 261129689 268579173 331171938 336556426 EPSG:900913:30 522259379 537158346 662343877 673112852 Sep - Nov Aggregated mean seasonal groundwater storage balance (2003-2024) Mean seasonal distribution of groundwater storage balance across Somalia for the period 2003–2024 for Sep-Nov. The seasonal evolution of the groundwater storage balance closely follows the country's climatic patterns. During the dry seasons (Jilaal and Xagaa), the groundwater storage balance is generally negative, particularly in the central and southern regions. This is consistent with the low precipitation observed in the same months. Notably, the lower courses of the Shabelle and Jubba rivers exhibit strong negative balances between June and August, which may suggest that groundwater is sustaining baseflow during the dry period. In contrast, the Gu season leads to significant improvements in groundwater storage balance across southern and central Somalia, where the southwest monsoon brings the heaviest rainfall. However, the northeastern coast maintains a neutral to slightly negative balance, due to relatively lower precipitation. During Deyr, groundwater storage balance starts to recover in the central and southern areas, likely driven by river recharge and increased infiltration from the rainfall of this shorter rainy season. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanseasond8846e9f8d49 other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 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78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Data - Status of River Breakages along Juba River - Issued August 2025 FAO-SWALIM has updating the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Five types of breakages have been identified; Open, Overflow, Canal Breakage, Canal Intake Flooding and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. A legend/Key for further explanation of the different types of breakages is provided.  Along the Juba River 105 Open breakage points, 14 Canal flooding points, 31 Overflow points and 2 points closed with sandbags have been identified.  Users are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available.  For questions or further clarifications related to the reports, you can contact us by sending an email to SWALIM@fao.org.  42.062708985935565 -0.0963662694276506 42.778638664845076 4.179544681127806 geonode:river_juba_breakage_aug_2025 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 62 64 78 79 8 125 128 157 158 9 250 256 315 316 10 500 512 631 633 11 1000 1024 1263 1267 12 2000 2049 2526 2534 13 4000 4098 5053 5069 14 8001 8196 10106 10138 15 16003 16392 20212 20277 16 32006 32785 40425 40555 17 64012 65571 80850 81111 18 128025 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1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 30 32 78 79 EPSG:4326x2:7 61 64 157 158 EPSG:4326x2:8 122 128 315 316 EPSG:4326x2:9 244 256 631 633 EPSG:4326x2:10 488 512 1263 1267 EPSG:4326x2:11 976 1025 2526 2534 EPSG:4326x2:12 1952 2050 5053 5069 EPSG:4326x2:13 3905 4100 10106 10138 EPSG:4326x2:14 7811 8200 20212 20277 EPSG:4326x2:15 15623 16401 40425 40555 EPSG:4326x2:16 31246 32803 80850 81111 EPSG:4326x2:17 62492 65606 161701 162222 EPSG:4326x2:18 124985 131212 323402 324444 EPSG:4326x2:19 249970 262424 646804 648889 EPSG:4326x2:20 499940 524849 1293609 1297779 EPSG:4326x2:21 999880 1049698 2587218 2595559 Forest Suitability of AzardirachtaIndica in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Azardirachta Indicain selected areas in southern part of Somalia (Juba and Shabelle riverine areas). 41.891693115000066 -0.266810088999932 46.15003204300007 5.060045242000058 geonode:som_land_forestsuitability_azardirachtaindica0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 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EPSG:4326:12 1932 2054 5049 5146 EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454438 168629686 EPSG:900913x2:29 260879541 268833353 330908876 337259372 EPSG:900913x2:30 521759082 537666706 661817753 674518744 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454438 168629686 EPSG:900913:29 260879541 268833353 330908876 337259372 EPSG:900913:30 521759082 537666706 661817753 674518744 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Juba Shabelle River Floods - Gu 2023 This data was produced through visual interpretation of Sentinel 1, Sentinel 2, World View 3 satellite images and UNOSAT Analysis. The Flood Extent may be smaller than the actual due to cloud cover on analysis images that hindered assessment in some areas and limitations of radar to detect flooding within urban areas 41.69500491500003 -0.251569337999968 45.758267285000045 5.011365984000065 geonode:juba_shabelle_river_floods_gu_2023 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 630 642 11 995 1025 1261 1284 12 1990 2050 2522 2568 13 3981 4101 5044 5137 14 7963 8203 10089 10274 15 15927 16406 20179 20549 16 31854 32813 40358 41098 17 63709 65627 80716 82196 18 127418 131255 161433 164392 19 254836 262510 322866 328784 20 509672 525020 645733 657568 21 1019345 1050041 1291467 1315137 22 2038690 2100083 2582934 2630274 23 4077381 4200166 5165868 5260548 24 8154763 8400332 10331736 10521097 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 630 642 11 995 1025 1261 1284 12 1990 2050 2522 2568 13 3981 4101 5044 5137 14 7963 8203 10089 10274 15 15927 16406 20179 20549 16 31854 32813 40358 41098 17 63709 65627 80716 82196 18 127418 131255 161433 164392 19 254836 262510 322866 328784 20 509672 525020 645733 657568 21 1019345 1050041 1291467 1315137 22 2038690 2100083 2582934 2630274 23 4077381 4200166 5165868 5260548 24 8154763 8400332 10331736 10521097 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 120 128 315 321 EPSG:4326:9 241 256 630 642 EPSG:4326:10 483 513 1261 1284 EPSG:4326:11 966 1026 2522 2568 EPSG:4326:12 1933 2053 5044 5137 EPSG:4326:13 3867 4107 10089 10274 EPSG:4326:14 7735 8214 20179 20549 EPSG:4326:15 15471 16429 40358 41098 EPSG:4326:16 30943 32859 80716 82196 EPSG:4326:17 61886 65719 161433 164392 EPSG:4326:18 123773 131438 322866 328784 EPSG:4326:19 247547 262876 645733 657568 EPSG:4326:20 495094 525753 1291467 1315137 EPSG:4326:21 990189 1051506 2582934 2630274 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 630 642 EPSG:900913x2:11 995 1025 1261 1284 EPSG:900913x2:12 1990 2050 2522 2568 EPSG:900913x2:13 3981 4101 5044 5137 EPSG:900913x2:14 7963 8203 10089 10274 EPSG:900913x2:15 15927 16406 20179 20549 EPSG:900913x2:16 31854 32813 40358 41098 EPSG:900913x2:17 63709 65627 80716 82196 EPSG:900913x2:18 127418 131255 161433 164392 EPSG:900913x2:19 254836 262510 322866 328784 EPSG:900913x2:20 509672 525020 645733 657568 EPSG:900913x2:21 1019345 1050041 1291467 1315137 EPSG:900913x2:22 2038690 2100083 2582934 2630274 EPSG:900913x2:23 4077381 4200166 5165868 5260548 EPSG:900913x2:24 8154763 8400332 10331736 10521097 EPSG:900913x2:25 16309526 16800664 20663472 21042195 EPSG:900913x2:26 32619052 33601328 41326944 42084391 EPSG:900913x2:27 65238104 67202656 82653888 84168782 EPSG:900913x2:28 130476209 134405312 165307777 168337565 EPSG:900913x2:29 260952418 268810624 330615554 336675130 EPSG:900913x2:30 521904836 537621249 661231108 673350260 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 630 642 EPSG:4326x2:10 483 513 1261 1284 EPSG:4326x2:11 966 1026 2522 2568 EPSG:4326x2:12 1933 2053 5044 5137 EPSG:4326x2:13 3867 4107 10089 10274 EPSG:4326x2:14 7735 8214 20179 20549 EPSG:4326x2:15 15471 16429 40358 41098 EPSG:4326x2:16 30943 32859 80716 82196 EPSG:4326x2:17 61886 65719 161433 164392 EPSG:4326x2:18 123773 131438 322866 328784 EPSG:4326x2:19 247547 262876 645733 657568 EPSG:4326x2:20 495094 525753 1291467 1315137 EPSG:4326x2:21 990189 1051506 2582934 2630274 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 630 642 EPSG:900913:11 995 1025 1261 1284 EPSG:900913:12 1990 2050 2522 2568 EPSG:900913:13 3981 4101 5044 5137 EPSG:900913:14 7963 8203 10089 10274 EPSG:900913:15 15927 16406 20179 20549 EPSG:900913:16 31854 32813 40358 41098 EPSG:900913:17 63709 65627 80716 82196 EPSG:900913:18 127418 131255 161433 164392 EPSG:900913:19 254836 262510 322866 328784 EPSG:900913:20 509672 525020 645733 657568 EPSG:900913:21 1019345 1050041 1291467 1315137 EPSG:900913:22 2038690 2100083 2582934 2630274 EPSG:900913:23 4077381 4200166 5165868 5260548 EPSG:900913:24 8154763 8400332 10331736 10521097 EPSG:900913:25 16309526 16800664 20663472 21042195 EPSG:900913:26 32619052 33601328 41326944 42084391 EPSG:900913:27 65238104 67202656 82653888 84168782 EPSG:900913:28 130476209 134405312 165307777 168337565 EPSG:900913:29 260952418 268810624 330615554 336675130 EPSG:900913:30 521904836 537621249 661231108 673350260 Mangrove Forest Land Cover Patches of mangroves are found in Zeylac, Berbera and Calula on the northern coastline and in Kismayo on the southern coast. Mangrove swamp communities are also situated at the tidal estuaries of the seasonal rivers towards the Indian Ocean coast and Gulf of Aden. They areas include Bushbush, Caanoole and Lag Badanaa. The mangroves, like the Golis forest, are facing increased pressure of commercial exploitation. 41.95973096000006 -1.015475849999973 50.80897644000004 11.987464120000027 geonode:landcover_mangroveforest0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 315 328 10 477 514 631 656 11 955 1029 1262 1313 12 1910 2059 2525 2626 13 3821 4119 5050 5252 14 7642 8238 10101 10504 15 15284 16476 20203 21008 16 30569 32952 40406 42017 17 61139 65905 80813 84034 18 122278 131811 161626 168069 19 244557 263622 323252 336139 20 489114 527245 646504 672279 21 978228 1054491 1293009 1344559 22 1956457 2108983 2586018 2689119 23 3912915 4217967 5172036 5378238 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EPSG:4326x2:15 14201 16568 40406 42017 EPSG:4326x2:16 28403 33137 80813 84034 EPSG:4326x2:17 56806 66275 161626 168069 EPSG:4326x2:18 113613 132550 323252 336139 EPSG:4326x2:19 227227 265101 646504 672279 EPSG:4326x2:20 454455 530203 1293009 1344559 EPSG:4326x2:21 908911 1060407 2586018 2689119 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 257 315 328 EPSG:900913:10 477 514 631 656 EPSG:900913:11 955 1029 1262 1313 EPSG:900913:12 1910 2059 2525 2626 EPSG:900913:13 3821 4119 5050 5252 EPSG:900913:14 7642 8238 10101 10504 EPSG:900913:15 15284 16476 20203 21008 EPSG:900913:16 30569 32952 40406 42017 EPSG:900913:17 61139 65905 80813 84034 EPSG:900913:18 122278 131811 161626 168069 EPSG:900913:19 244557 263622 323252 336139 EPSG:900913:20 489114 527245 646504 672279 EPSG:900913:21 978228 1054491 1293009 1344559 EPSG:900913:22 1956457 2108983 2586018 2689119 EPSG:900913:23 3912915 4217967 5172036 5378238 EPSG:900913:24 7825830 8435935 10344073 10756477 EPSG:900913:25 15651661 16871870 20688146 21512955 EPSG:900913:26 31303323 33743740 41376292 43025911 EPSG:900913:27 62606646 67487480 82752585 86051823 EPSG:900913:28 125213292 134974961 165505171 172103646 EPSG:900913:29 250426585 269949922 331010342 344207293 EPSG:900913:30 500853171 539899845 662020684 688414587 Land Graze Suitability - Goats (Somaliland) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Goats) in selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:grazesuitabilitygoats_n other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 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EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2021 SWALIM has been mapped twice a year the river breakages along the two rivers since 2015. This had been made possible with the use of World View Very High-Resolution (VHR) satellite imagery provided by Digital Globe. Due to lower temporal resolution of images present in Digital Globe archive, Pleiades Images provided by Airbus supplemented the image gaps in some areas. Where possible the preliminary findings from the images were verified with field observations to confirm the status of river breakages. In this case, the field river breakages surveys were carried out in Belet Weyne, Jowhar, Balcad and Afgooye districts all along the Shabelle River. In other cases, breakages which had been verified on VHR in March 2021 and there was either cloudy images or no images at all in the current assessment have been marked as ‘Not verified’.\r\n\r\nAlong the Juba River, 32 open points, 6 overflows and another 123 potential breakages and 75 potential overflows were identified. Further, 103 open points, 106 overflows and 103 potential breakages and 322 potential overflows were identified along the Shabelle River.\r\n\r\nIt has been observed that the number of points either open or overflows has been increasing over the years probably due to the continuous weakening of the river banks following three years of successive heavy floods in 2018, 2019 and 2020. These points need immediate closure or reinforcement before the 2021 Deyr rainy season which is expected to start in Mid-October 2021. 42.0680900799999 -0.07097 45.6786699999999 4.89294 geonode:river_juba_shabelle_breakage_aug2021_26082021 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 2629347 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EPSG:4326x2:14 7746 8198 20213 20541 EPSG:4326x2:15 15493 16396 40426 41083 EPSG:4326x2:16 30986 32793 80852 82167 EPSG:4326x2:17 61973 65587 161705 164334 EPSG:4326x2:18 123946 131175 323410 328668 EPSG:4326x2:19 247892 262350 646820 657336 EPSG:4326x2:20 495784 524701 1293640 1314673 EPSG:4326x2:21 991569 1049402 2587280 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3984 4097 5053 5135 EPSG:900913:14 7969 8195 10106 10270 EPSG:900913:15 15938 16390 20213 20541 EPSG:900913:16 31876 32780 40426 41083 EPSG:900913:17 63752 65561 80852 82167 EPSG:900913:18 127504 131123 161705 164334 EPSG:900913:19 255009 262247 323410 328668 EPSG:900913:20 510018 524494 646820 657336 EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587280 2629347 EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Proposed Charcoal Production Areas in Somalia This map shows the areas that are considered to be potential for charcoal production in Somalia. The selection of the areasis based on environmental aspects and FAO SWALIM accumulted field experience in Somalia. 41.000005884000075 -1.651552163999952 50.003887675000044 10.603385160000073 geonode:som_proposed_charcoal_production_areas other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 30 32 39 40 7 60 64 78 81 8 120 129 157 163 9 240 258 314 327 10 481 516 628 654 11 963 1033 1257 1308 12 1926 2066 2514 2616 13 3853 4133 5028 5233 14 7706 8267 10057 10467 15 15413 16534 20115 20935 16 30826 33068 40231 41870 17 61653 66137 80463 83741 18 123306 132274 160927 167483 19 246612 264549 321854 334967 20 493225 529099 643709 669934 21 986451 1058198 1287418 1339869 22 1972902 2116396 2574836 2679739 23 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10057 10467 EPSG:900913:15 15413 16534 20115 20935 EPSG:900913:16 30826 33068 40231 41870 EPSG:900913:17 61653 66137 80463 83741 EPSG:900913:18 123306 132274 160927 167483 EPSG:900913:19 246612 264549 321854 334967 EPSG:900913:20 493225 529099 643709 669934 EPSG:900913:21 986451 1058198 1287418 1339869 EPSG:900913:22 1972902 2116396 2574836 2679739 EPSG:900913:23 3945804 4232793 5149673 5359479 EPSG:900913:24 7891609 8465586 10299346 10718958 EPSG:900913:25 15783218 16931173 20598693 21437916 EPSG:900913:26 31566437 33862346 41197387 42875832 EPSG:900913:27 63132874 67724692 82394774 85751664 EPSG:900913:28 126265749 135449385 164789548 171503329 EPSG:900913:29 252531499 270898770 329579096 343006658 EPSG:900913:30 505062998 541797540 659158192 686013316 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 14 16 39 40 EPSG:4326x2:6 28 32 78 81 EPSG:4326x2:7 56 65 157 163 EPSG:4326x2:8 112 130 314 327 EPSG:4326x2:9 225 260 628 654 EPSG:4326x2:10 451 521 1257 1308 EPSG:4326x2:11 903 1042 2514 2616 EPSG:4326x2:12 1806 2085 5028 5233 EPSG:4326x2:13 3613 4171 10057 10467 EPSG:4326x2:14 7226 8342 20115 20935 EPSG:4326x2:15 14453 16684 40231 41870 EPSG:4326x2:16 28907 33369 80463 83741 EPSG:4326x2:17 57814 66738 160927 167483 EPSG:4326x2:18 115629 133477 321854 334967 EPSG:4326x2:19 231259 266954 643709 669934 EPSG:4326x2:20 462518 533908 1287418 1339869 EPSG:4326x2:21 925037 1067817 2574836 2679739 Drip Irrigation Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil suitability for drip irrigation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO methodology and the framework of Sys et al. (1991), integrating soil, topographic, hydrological, and fertility-related factors relevant to drip irrigation. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints affecting drip irrigation development. Methodology The suitability analysis was conducted using a parametric evaluation system following Sys et al. (1991), based on morphology and the physical and chemical properties of soils relevant to irrigation suitability. The evaluation was performed for drip irrigation as one of the two irrigation systems assessed in the report, particularly as a system that can be applied in areas with poor water availability. The parameters applied to the parametric model included: Landscape parameters: slope, surface coarse fragments, erosion risk Soil parameters: rooting depth, internal stoniness, texture, permeability, internal drainage, internal coarse fragments, available water capacity, water table Fertility parameters: pH, salinity, alkalinity, and cation exchange capacity The required data was obtained and calculated from: Existing soil data (312 soil profiles) Africa SoilGrids data (ISRIC global gridded information) Digital Elevation Model (30 m resolution) Erosion risk map (USLE based) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings were assigned Weighted aggregation produced the final suitability class for each land unit For drip irrigation, the control section is 80 cm, which distinguishes it from surface irrigation. Important notice: the irrigation suitability refers only to the potential irrigation area and does not consider water availability. 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_drip_suit_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 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EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Mar - May Aggregated mean seasonal groundwater storage balance (2003-2024) Mean seasonal distribution of groundwater storage balance across Somalia for the period 2003–2024 for Mar-May. The seasonal evolution of the groundwater storage balance closely follows the country's climatic patterns. During the dry seasons (Jilaal and Xagaa), the groundwater storage balance is generally negative, particularly in the central and southern regions. This is consistent with the low precipitation observed in the same months. Notably, the lower courses of the Shabelle and Jubba rivers exhibit strong negative balances between June and August, which may suggest that groundwater is sustaining baseflow during the dry period. In contrast, the Gu season leads to significant improvements in groundwater storage balance across southern and central Somalia, where the southwest monsoon brings the heaviest rainfall. However, the northeastern coast maintains a neutral to slightly negative balance, due to relatively lower precipitation. During Deyr, groundwater storage balance starts to recover in the central and southern areas, likely driven by river recharge and increased infiltration from the rainfall of this shorter rainy season. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanseason78bf00bebc7b other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 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2639 EPSG:900913:13 3809 4147 5017 5279 EPSG:900913:14 7618 8294 10035 10558 EPSG:900913:15 15237 16588 20070 21117 EPSG:900913:16 30474 33177 40140 42234 EPSG:900913:17 60948 66355 80281 84468 EPSG:900913:18 121896 132710 160563 168937 EPSG:900913:19 243793 265421 321126 337874 EPSG:900913:20 487586 530843 642252 675748 EPSG:900913:21 975173 1061686 1284505 1351497 EPSG:900913:22 1950347 2123373 2569011 2702995 EPSG:900913:23 3900694 4246746 5138022 5405991 EPSG:900913:24 7801388 8493492 10276044 10811983 EPSG:900913:25 15602777 16986985 20552089 21623967 EPSG:900913:26 31205555 33973970 41104179 43247934 EPSG:900913:27 62411110 67947940 82208358 86495869 EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Somalia Soil Data - Scale of 1:250000 To achieve the preliminary land unit classification, a set of updated multispectral satellite images was acquired . A set of Sentinel-2 (from January to February 2020 interval time) images covering integrally the complexes of the project area with a spatial resolution of 10m per pixel has been processed using Near infrared, green and blue spectral band combination) and analyzed using a GIS software. The analysis of the images helps to classify the areas at fourth levels: Soil Region (1:3M scale) - System (1:1M scale) - Subsystems (1:500k scale) - Land Unit (1:250k scale) Further based on the photointerpretation, the morphologic and physiographic analysis the homogenous land units are defined. First, a general overview of the study area done based on bibliographic material concerning existing soil surveys, geography, geology, climate, agriculture, vegetation and soil characteristics. Particularly, in this case a mixed descending and ascending building and interpretation methodology was applied. As shown in the following picture, the descending methodology has used where existing soil data are lacking, starting from morphology, lithology and land use. Homogeneous polygons with same morphology, lithology and land use/cover may have same soils. For large part of Somalia country this methodology was applied. The ascending methodology has applied where existing soil data was available, in Somalia some 1.50.000/1:100.000 soil maps was available in north and in south part of the country. Of course due the different scale of the final soil map, the details are different, so some existing Land Units at semidetailed scale has merged to each one relating to the extensions and soil typology. The photointerpretation has done mainly with the aid of the following: - Sentinel-2 satellite images (Jan-Feb 2020) 10m resolution (NIR-GB spectral bands) - SRTM Digital Elevation model 30x30 and 90x90 m resolution - “Sm-landform” SWALIM shapefile 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:som_soil_250k other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 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EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 FABDEM v1.2 – Aspect (30 m) The aspect dataset derived from FABDEM v1.2 describes the compass direction that each terrain slope faces, calculated from the Forest and Buildings Removed Digital Elevation Model at approximately 30-metre spatial resolution. Aspect values indicate the direction of maximum slope and are commonly expressed in degrees measured clockwise from north (0–360°), with special values assigned to flat areas where aspect is undefined. By relying on FABDEM, which removes height biases from forests and buildings, this aspect layer more accurately reflects the true orientation of the land surface. Aspect is a critical terrain parameter influencing micro-climate, solar radiation exposure, soil moisture distribution, vegetation patterns, and agricultural productivity. This dataset is suitable for applications such as land suitability analysis, crop and rangeland assessment, ecological and habitat modelling, climate and drought studies, and environmental planning. When combined with slope and elevation data, the aspect layer provides valuable insights into terrain controls on environmental and hydrological processes. 39.89894138948103 -2.093455891025119 52.182792484769394 12.096925576554675 geonode:SOM_FABDEM_ASPECT_4326 other other other other other other text/xml other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 165 9 238 258 312 330 10 477 517 625 660 11 954 1035 1250 1320 12 1909 2071 2501 2641 13 3818 4143 5003 5283 14 7637 8287 10007 10566 15 15274 16574 20015 21133 16 30549 33149 40031 42267 17 61098 66298 80062 84535 18 122197 132596 160125 169070 19 244394 265193 320251 338140 20 488788 530386 640502 676281 21 977576 1060773 1281004 1352562 22 1955153 2121547 2562008 2705125 23 3910307 4243095 5124016 5410251 24 7820614 8486191 10248033 10820502 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 165 9 238 258 312 330 10 477 517 625 660 11 954 1035 1250 1320 12 1909 2071 2501 2641 13 3818 4143 5003 5283 14 7637 8287 10007 10566 15 15274 16574 20015 21133 16 30549 33149 40031 42267 17 61098 66298 80062 84535 18 122197 132596 160125 169070 19 244394 265193 320251 338140 20 488788 530386 640502 676281 21 977576 1060773 1281004 1352562 22 1955153 2121547 2562008 2705125 23 3910307 4243095 5124016 5410251 24 7820614 8486191 10248033 10820502 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 156 165 EPSG:4326:8 110 130 312 330 EPSG:4326:9 221 261 625 660 EPSG:4326:10 443 523 1250 1320 EPSG:4326:11 886 1047 2501 2641 EPSG:4326:12 1772 2095 5003 5283 EPSG:4326:13 3545 4191 10007 10566 EPSG:4326:14 7090 8382 20015 21133 EPSG:4326:15 14181 16765 40031 42267 EPSG:4326:16 28363 33530 80062 84535 EPSG:4326:17 56727 67060 160125 169070 EPSG:4326:18 113454 134120 320251 338140 EPSG:4326:19 226909 268241 640502 676281 EPSG:4326:20 453818 536483 1281004 1352562 EPSG:4326:21 907636 1072966 2562008 2705125 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 156 165 EPSG:900913x2:9 238 258 312 330 EPSG:900913x2:10 477 517 625 660 EPSG:900913x2:11 954 1035 1250 1320 EPSG:900913x2:12 1909 2071 2501 2641 EPSG:900913x2:13 3818 4143 5003 5283 EPSG:900913x2:14 7637 8287 10007 10566 EPSG:900913x2:15 15274 16574 20015 21133 EPSG:900913x2:16 30549 33149 40031 42267 EPSG:900913x2:17 61098 66298 80062 84535 EPSG:900913x2:18 122197 132596 160125 169070 EPSG:900913x2:19 244394 265193 320251 338140 EPSG:900913x2:20 488788 530386 640502 676281 EPSG:900913x2:21 977576 1060773 1281004 1352562 EPSG:900913x2:22 1955153 2121547 2562008 2705125 EPSG:900913x2:23 3910307 4243095 5124016 5410251 EPSG:900913x2:24 7820614 8486191 10248033 10820502 EPSG:900913x2:25 15641229 16972383 20496066 21641004 EPSG:900913x2:26 31282458 33944767 40992133 43282009 EPSG:900913x2:27 62564917 67889534 81984267 86564019 EPSG:900913x2:28 125129835 135779069 163968535 173128038 EPSG:900913x2:29 250259671 271558138 327937070 346256076 EPSG:900913x2:30 500519343 543116277 655874140 692512153 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 156 165 EPSG:900913:9 238 258 312 330 EPSG:900913:10 477 517 625 660 EPSG:900913:11 954 1035 1250 1320 EPSG:900913:12 1909 2071 2501 2641 EPSG:900913:13 3818 4143 5003 5283 EPSG:900913:14 7637 8287 10007 10566 EPSG:900913:15 15274 16574 20015 21133 EPSG:900913:16 30549 33149 40031 42267 EPSG:900913:17 61098 66298 80062 84535 EPSG:900913:18 122197 132596 160125 169070 EPSG:900913:19 244394 265193 320251 338140 EPSG:900913:20 488788 530386 640502 676281 EPSG:900913:21 977576 1060773 1281004 1352562 EPSG:900913:22 1955153 2121547 2562008 2705125 EPSG:900913:23 3910307 4243095 5124016 5410251 EPSG:900913:24 7820614 8486191 10248033 10820502 EPSG:900913:25 15641229 16972383 20496066 21641004 EPSG:900913:26 31282458 33944767 40992133 43282009 EPSG:900913:27 62564917 67889534 81984267 86564019 EPSG:900913:28 125129835 135779069 163968535 173128038 EPSG:900913:29 250259671 271558138 327937070 346256076 EPSG:900913:30 500519343 543116277 655874140 692512153 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 165 EPSG:4326x2:8 110 130 312 330 EPSG:4326x2:9 221 261 625 660 EPSG:4326x2:10 443 523 1250 1320 EPSG:4326x2:11 886 1047 2501 2641 EPSG:4326x2:12 1772 2095 5003 5283 EPSG:4326x2:13 3545 4191 10007 10566 EPSG:4326x2:14 7090 8382 20015 21133 EPSG:4326x2:15 14181 16765 40031 42267 EPSG:4326x2:16 28363 33530 80062 84535 EPSG:4326x2:17 56727 67060 160125 169070 EPSG:4326x2:18 113454 134120 320251 338140 EPSG:4326x2:19 226909 268241 640502 676281 EPSG:4326x2:20 453818 536483 1281004 1352562 EPSG:4326x2:21 907636 1072966 2562008 2705125 Jowhar Soil - 1:100_000 This dataset is about a semi detailed soil map at a scale of 1:100,000 for Jowhar areain Somalia. Data is produced by FAO SWALIM (Somalia Water and Land Information Management Project) 45.49910802100004 2.688847342000031 45.602213807000055 2.803132805000075 geonode:soil_jowhar_faoswalim_248b1dc54593c5f1150f61ba26597ce9 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 63 63 80 80 8 126 126 160 160 9 252 252 320 320 10 504 504 641 641 11 1008 1008 1282 1283 12 2016 2017 2565 2566 13 4032 4034 5131 5133 14 8064 8069 10262 10267 15 16128 16139 20525 20534 16 32257 32278 41050 41069 17 64515 64556 82101 82139 18 129030 129113 164203 164278 19 258060 258226 328406 328557 20 516120 516453 656813 657114 21 1032240 1032906 1313627 1314228 22 2064480 2065813 2627255 2628456 23 4128960 4131626 5254510 5256912 24 8257920 8263252 10509020 10513825 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 63 63 80 80 8 126 126 160 160 9 252 252 320 320 10 504 504 641 641 11 1008 1008 1282 1283 12 2016 2017 2565 2566 13 4032 4034 5131 5133 14 8064 8069 10262 10267 15 16128 16139 20525 20534 16 32257 32278 41050 41069 17 64515 64556 82101 82139 18 129030 129113 164203 164278 19 258060 258226 328406 328557 20 516120 516453 656813 657114 21 1032240 1032906 1313627 1314228 22 2064480 2065813 2627255 2628456 23 4128960 4131626 5254510 5256912 24 8257920 8263252 10509020 10513825 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 31 31 80 80 EPSG:4326:7 62 62 160 160 EPSG:4326:8 124 124 320 320 EPSG:4326:9 248 248 641 641 EPSG:4326:10 496 496 1282 1283 EPSG:4326:11 992 993 2565 2566 EPSG:4326:12 1984 1986 5131 5133 EPSG:4326:13 3968 3973 10262 10267 EPSG:4326:14 7936 7947 20525 20534 EPSG:4326:15 15873 15894 41050 41069 EPSG:4326:16 31747 31789 82101 82139 EPSG:4326:17 63494 63578 164203 164278 EPSG:4326:18 126989 127156 328406 328557 EPSG:4326:19 253979 254312 656813 657114 EPSG:4326:20 507958 508624 1313627 1314228 EPSG:4326:21 1015917 1017248 2627255 2628456 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 63 63 80 80 EPSG:900913x2:8 126 126 160 160 EPSG:900913x2:9 252 252 320 320 EPSG:900913x2:10 504 504 641 641 EPSG:900913x2:11 1008 1008 1282 1283 EPSG:900913x2:12 2016 2017 2565 2566 EPSG:900913x2:13 4032 4034 5131 5133 EPSG:900913x2:14 8064 8069 10262 10267 EPSG:900913x2:15 16128 16139 20525 20534 EPSG:900913x2:16 32257 32278 41050 41069 EPSG:900913x2:17 64515 64556 82101 82139 EPSG:900913x2:18 129030 129113 164203 164278 EPSG:900913x2:19 258060 258226 328406 328557 EPSG:900913x2:20 516120 516453 656813 657114 EPSG:900913x2:21 1032240 1032906 1313627 1314228 EPSG:900913x2:22 2064480 2065813 2627255 2628456 EPSG:900913x2:23 4128960 4131626 5254510 5256912 EPSG:900913x2:24 8257920 8263252 10509020 10513825 EPSG:900913x2:25 16515840 16526505 21018040 21027650 EPSG:900913x2:26 33031681 33053010 42036080 42055300 EPSG:900913x2:27 66063363 66106020 84072160 84110601 EPSG:900913x2:28 132126726 132212041 168144321 168221203 EPSG:900913x2:29 264253452 264424083 336288643 336442406 EPSG:900913x2:30 528506905 528848167 672577287 672884812 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 63 63 80 80 EPSG:900913:8 126 126 160 160 EPSG:900913:9 252 252 320 320 EPSG:900913:10 504 504 641 641 EPSG:900913:11 1008 1008 1282 1283 EPSG:900913:12 2016 2017 2565 2566 EPSG:900913:13 4032 4034 5131 5133 EPSG:900913:14 8064 8069 10262 10267 EPSG:900913:15 16128 16139 20525 20534 EPSG:900913:16 32257 32278 41050 41069 EPSG:900913:17 64515 64556 82101 82139 EPSG:900913:18 129030 129113 164203 164278 EPSG:900913:19 258060 258226 328406 328557 EPSG:900913:20 516120 516453 656813 657114 EPSG:900913:21 1032240 1032906 1313627 1314228 EPSG:900913:22 2064480 2065813 2627255 2628456 EPSG:900913:23 4128960 4131626 5254510 5256912 EPSG:900913:24 8257920 8263252 10509020 10513825 EPSG:900913:25 16515840 16526505 21018040 21027650 EPSG:900913:26 33031681 33053010 42036080 42055300 EPSG:900913:27 66063363 66106020 84072160 84110601 EPSG:900913:28 132126726 132212041 168144321 168221203 EPSG:900913:29 264253452 264424083 336288643 336442406 EPSG:900913:30 528506905 528848167 672577287 672884812 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 31 31 80 80 EPSG:4326x2:7 62 62 160 160 EPSG:4326x2:8 124 124 320 320 EPSG:4326x2:9 248 248 641 641 EPSG:4326x2:10 496 496 1282 1283 EPSG:4326x2:11 992 993 2565 2566 EPSG:4326x2:12 1984 1986 5131 5133 EPSG:4326x2:13 3968 3973 10262 10267 EPSG:4326x2:14 7936 7947 20525 20534 EPSG:4326x2:15 15873 15894 41050 41069 EPSG:4326x2:16 31747 31789 82101 82139 EPSG:4326x2:17 63494 63578 164203 164278 EPSG:4326x2:18 126989 127156 328406 328557 EPSG:4326x2:19 253979 254312 656813 657114 EPSG:4326x2:20 507958 508624 1313627 1314228 EPSG:4326x2:21 1015917 1017248 2627255 2628456 Topographic Maps Index _Somalia The Topographic Maps are from varying sources and dates, but the legends are very similar and the index numbers have remained the same. Scanned legends can be found in the same folder as the topomaps in jpeg format. All versions have been supplied. Scale is 1:100,000 and contour interval is 20 metres. Maps have been scanned and georeferenced to Geographic WGS84. Supplied to SWALIM by UNDP Somalia and RCMRD (Regional Centre for Mapping of Resources for Development). 'British Maps' These were produced by stereo photography using aerial photography in the early 1970's. Originally printed by Bureau of Cartography, Ministry of Defense, Somalia Democratic Republic in the late 1970's. Reprinted by Canadian Forces Mapping and Charting Establishment from reprographic material of native Somalia mapping by the British Director General of Military Survey. Revisions were made by the Defense Mapping Agency Hydrographic/Topographic Centre, Bethesda, MD, in cooperation with the Canadian Canadian Forces Mapping and Charting Establishment in the early 1990's. 'Russian Maps' are also included but no information is provided in the metadata as there is no translation available at present. They are in the minority in the SWALIM archive and have only been included where there are gaps in the British/Canadian maps. The legend is similar to the British/Canadian maps. 40.99910078900007 -1.666267346999973 51.499211270000046 12.000566118000052 geonode:som_topomapsindex other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2633 13 3820 4133 5028 5267 14 7641 8267 10057 10535 15 15283 16535 20115 21071 16 30567 33071 40231 42143 17 61134 66142 80463 84286 18 122268 132285 160926 168572 19 244537 264571 321853 337145 20 489075 529142 643706 674290 21 978150 1058284 1287413 1348580 22 1956301 2116568 2574826 2697161 23 3912603 4233136 5149652 5394322 24 7825206 8466272 10299304 10788645 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2633 13 3820 4133 5028 5267 14 7641 8267 10057 10535 15 15283 16535 20115 21071 16 30567 33071 40231 42143 17 61134 66142 80463 84286 18 122268 132285 160926 168572 19 244537 264571 321853 337145 20 489075 529142 643706 674290 21 978150 1058284 1287413 1348580 22 1956301 2116568 2574826 2697161 23 3912603 4233136 5149652 5394322 24 7825206 8466272 10299304 10788645 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1257 1316 EPSG:4326:11 887 1042 2514 2633 EPSG:4326:12 1774 2085 5028 5267 EPSG:4326:13 3549 4171 10057 10535 EPSG:4326:14 7099 8343 20115 21071 EPSG:4326:15 14199 16687 40231 42143 EPSG:4326:16 28398 33374 80463 84286 EPSG:4326:17 56797 66749 160926 168572 EPSG:4326:18 113594 133498 321853 337145 EPSG:4326:19 227189 266997 643706 674290 EPSG:4326:20 454379 533994 1287413 1348580 EPSG:4326:21 908759 1067989 2574826 2697161 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 955 1033 1257 1316 EPSG:900913x2:12 1910 2066 2514 2633 EPSG:900913x2:13 3820 4133 5028 5267 EPSG:900913x2:14 7641 8267 10057 10535 EPSG:900913x2:15 15283 16535 20115 21071 EPSG:900913x2:16 30567 33071 40231 42143 EPSG:900913x2:17 61134 66142 80463 84286 EPSG:900913x2:18 122268 132285 160926 168572 EPSG:900913x2:19 244537 264571 321853 337145 EPSG:900913x2:20 489075 529142 643706 674290 EPSG:900913x2:21 978150 1058284 1287413 1348580 EPSG:900913x2:22 1956301 2116568 2574826 2697161 EPSG:900913x2:23 3912603 4233136 5149652 5394322 EPSG:900913x2:24 7825206 8466272 10299304 10788645 EPSG:900913x2:25 15650413 16932545 20598609 21577290 EPSG:900913x2:26 31300826 33865090 41197218 43154580 EPSG:900913x2:27 62601652 67730181 82394436 86309161 EPSG:900913x2:28 125203305 135460362 164788873 172618323 EPSG:900913x2:29 250406610 270920724 329577746 345236646 EPSG:900913x2:30 500813220 541841448 659155493 690473292 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2633 EPSG:900913:13 3820 4133 5028 5267 EPSG:900913:14 7641 8267 10057 10535 EPSG:900913:15 15283 16535 20115 21071 EPSG:900913:16 30567 33071 40231 42143 EPSG:900913:17 61134 66142 80463 84286 EPSG:900913:18 122268 132285 160926 168572 EPSG:900913:19 244537 264571 321853 337145 EPSG:900913:20 489075 529142 643706 674290 EPSG:900913:21 978150 1058284 1287413 1348580 EPSG:900913:22 1956301 2116568 2574826 2697161 EPSG:900913:23 3912603 4233136 5149652 5394322 EPSG:900913:24 7825206 8466272 10299304 10788645 EPSG:900913:25 15650413 16932545 20598609 21577290 EPSG:900913:26 31300826 33865090 41197218 43154580 EPSG:900913:27 62601652 67730181 82394436 86309161 EPSG:900913:28 125203305 135460362 164788873 172618323 EPSG:900913:29 250406610 270920724 329577746 345236646 EPSG:900913:30 500813220 541841448 659155493 690473292 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2633 EPSG:4326x2:12 1774 2085 5028 5267 EPSG:4326x2:13 3549 4171 10057 10535 EPSG:4326x2:14 7099 8343 20115 21071 EPSG:4326x2:15 14199 16687 40231 42143 EPSG:4326x2:16 28398 33374 80463 84286 EPSG:4326x2:17 56797 66749 160926 168572 EPSG:4326x2:18 113594 133498 321853 337145 EPSG:4326x2:19 227189 266997 643706 674290 EPSG:4326x2:20 454379 533994 1287413 1348580 EPSG:4326x2:21 908759 1067989 2574826 2697161 Land GrazeSuitability Cattle_(Juba and Shabelle riverine areas) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Cattle) in selected areas insouthern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.15003254800007 5.060045358000025 geonode:grazesuitabilitycattle_south other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 120 128 315 321 EPSG:4326:9 241 256 631 643 EPSG:4326:10 483 513 1262 1286 EPSG:4326:11 966 1027 2524 2573 EPSG:4326:12 1932 2054 5049 5146 EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Functioning Boreholes - 2010 Somalia Functioning Boreholes as of 2010 41.33650000000006 0.950080000000071 51.07222200000007 11.814166000000057 geonode:som_functioning_boreholes_2010 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 14 15 19 20 6 29 31 39 41 7 59 63 78 82 8 119 127 157 164 9 239 254 314 328 10 478 509 629 657 11 956 1018 1259 1314 12 1912 2037 2518 2629 13 3825 4074 5036 5258 14 7650 8148 10073 10516 15 15300 16297 20146 21032 16 30601 32595 40293 42065 17 61203 65190 80586 84130 18 122407 130380 161172 168261 19 244815 260760 322344 336523 20 489630 521520 644689 673046 21 979260 1043041 1289378 1346093 22 1958521 2086082 2578757 2692186 23 3917042 4172164 5157514 5384373 24 7834084 8344329 10315028 10768746 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 14 15 19 20 6 29 31 39 41 7 59 63 78 82 8 119 127 157 164 9 239 254 314 328 10 478 509 629 657 11 956 1018 1259 1314 12 1912 2037 2518 2629 13 3825 4074 5036 5258 14 7650 8148 10073 10516 15 15300 16297 20146 21032 16 30601 32595 40293 42065 17 61203 65190 80586 84130 18 122407 130380 161172 168261 19 244815 260760 322344 336523 20 489630 521520 644689 673046 21 979260 1043041 1289378 1346093 22 1958521 2086082 2578757 2692186 23 3917042 4172164 5157514 5384373 24 7834084 8344329 10315028 10768746 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 6 7 19 20 EPSG:4326:5 13 15 39 41 EPSG:4326:6 27 31 78 82 EPSG:4326:7 55 63 157 164 EPSG:4326:8 111 126 314 328 EPSG:4326:9 222 253 629 657 EPSG:4326:10 444 506 1259 1314 EPSG:4326:11 889 1013 2518 2629 EPSG:4326:12 1779 2026 5036 5258 EPSG:4326:13 3558 4052 10073 10516 EPSG:4326:14 7116 8105 20146 21032 EPSG:4326:15 14233 16211 40293 42065 EPSG:4326:16 28466 32422 80586 84130 EPSG:4326:17 56933 64844 161172 168261 EPSG:4326:18 113866 129688 322344 336523 EPSG:4326:19 227732 259376 644689 673046 EPSG:4326:20 455465 518753 1289378 1346093 EPSG:4326:21 910930 1037506 2578757 2692186 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 14 15 19 20 EPSG:900913x2:6 29 31 39 41 EPSG:900913x2:7 59 63 78 82 EPSG:900913x2:8 119 127 157 164 EPSG:900913x2:9 239 254 314 328 EPSG:900913x2:10 478 509 629 657 EPSG:900913x2:11 956 1018 1259 1314 EPSG:900913x2:12 1912 2037 2518 2629 EPSG:900913x2:13 3825 4074 5036 5258 EPSG:900913x2:14 7650 8148 10073 10516 EPSG:900913x2:15 15300 16297 20146 21032 EPSG:900913x2:16 30601 32595 40293 42065 EPSG:900913x2:17 61203 65190 80586 84130 EPSG:900913x2:18 122407 130380 161172 168261 EPSG:900913x2:19 244815 260760 322344 336523 EPSG:900913x2:20 489630 521520 644689 673046 EPSG:900913x2:21 979260 1043041 1289378 1346093 EPSG:900913x2:22 1958521 2086082 2578757 2692186 EPSG:900913x2:23 3917042 4172164 5157514 5384373 EPSG:900913x2:24 7834084 8344329 10315028 10768746 EPSG:900913x2:25 15668168 16688658 20630057 21537492 EPSG:900913x2:26 31336337 33377316 41260114 43074984 EPSG:900913x2:27 62672675 66754632 82520228 86149968 EPSG:900913x2:28 125345351 133509264 165040456 172299936 EPSG:900913x2:29 250690703 267018529 330080912 344599873 EPSG:900913x2:30 501381406 534037058 660161825 689199747 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 6 7 19 20 EPSG:4326x2:5 13 15 39 41 EPSG:4326x2:6 27 31 78 82 EPSG:4326x2:7 55 63 157 164 EPSG:4326x2:8 111 126 314 328 EPSG:4326x2:9 222 253 629 657 EPSG:4326x2:10 444 506 1259 1314 EPSG:4326x2:11 889 1013 2518 2629 EPSG:4326x2:12 1779 2026 5036 5258 EPSG:4326x2:13 3558 4052 10073 10516 EPSG:4326x2:14 7116 8105 20146 21032 EPSG:4326x2:15 14233 16211 40293 42065 EPSG:4326x2:16 28466 32422 80586 84130 EPSG:4326x2:17 56933 64844 161172 168261 EPSG:4326x2:18 113866 129688 322344 336523 EPSG:4326x2:19 227732 259376 644689 673046 EPSG:4326x2:20 455465 518753 1289378 1346093 EPSG:4326x2:21 910930 1037506 2578757 2692186 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 14 15 19 20 EPSG:900913:6 29 31 39 41 EPSG:900913:7 59 63 78 82 EPSG:900913:8 119 127 157 164 EPSG:900913:9 239 254 314 328 EPSG:900913:10 478 509 629 657 EPSG:900913:11 956 1018 1259 1314 EPSG:900913:12 1912 2037 2518 2629 EPSG:900913:13 3825 4074 5036 5258 EPSG:900913:14 7650 8148 10073 10516 EPSG:900913:15 15300 16297 20146 21032 EPSG:900913:16 30601 32595 40293 42065 EPSG:900913:17 61203 65190 80586 84130 EPSG:900913:18 122407 130380 161172 168261 EPSG:900913:19 244815 260760 322344 336523 EPSG:900913:20 489630 521520 644689 673046 EPSG:900913:21 979260 1043041 1289378 1346093 EPSG:900913:22 1958521 2086082 2578757 2692186 EPSG:900913:23 3917042 4172164 5157514 5384373 EPSG:900913:24 7834084 8344329 10315028 10768746 EPSG:900913:25 15668168 16688658 20630057 21537492 EPSG:900913:26 31336337 33377316 41260114 43074984 EPSG:900913:27 62672675 66754632 82520228 86149968 EPSG:900913:28 125345351 133509264 165040456 172299936 EPSG:900913:29 250690703 267018529 330080912 344599873 EPSG:900913:30 501381406 534037058 660161825 689199747 Strategic Water Sources - September 2020 The dataset contains the most common water source types in Somalia classified into five categories namely: boreholes, shallow wells, dams, springs and berkads. Other source types which do not fit in any of these five categories are classified as “Other” The data is periodically updated from field surveys carried out by FAO/SWALIM through government and NGO partners, or received from WASH Cluster partners.Modern technology has been adopted for field data collection, using mobile phones, building on the conventional paper based questionnaire first developed and adopted by WASH partners in Somalia back in 2006 41.0187 -0.3669 51.2829 11.9533 geonode:strategic_water_sources_all_sept20206557d8d4e8bd other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 314 328 10 477 513 628 657 11 955 1026 1257 1315 12 1911 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EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 256 314 328 EPSG:900913:10 477 513 628 657 EPSG:900913:11 955 1026 1257 1315 EPSG:900913:12 1911 2052 2514 2631 EPSG:900913:13 3822 4104 5029 5262 EPSG:900913:14 7644 8208 10058 10525 EPSG:900913:15 15288 16417 20117 21051 EPSG:900913:16 30576 32834 40235 42103 EPSG:900913:17 61152 65669 80470 84207 EPSG:900913:18 122304 131339 160940 168415 EPSG:900913:19 244608 262678 321881 336830 EPSG:900913:20 489216 525356 643763 673660 EPSG:900913:21 978432 1050713 1287527 1347320 EPSG:900913:22 1956864 2101426 2575054 2694641 EPSG:900913:23 3913729 4202853 5150108 5389282 EPSG:900913:24 7827458 8405706 10300217 10778564 EPSG:900913:25 15654916 16811413 20600435 21557128 EPSG:900913:26 31309833 33622827 41200871 43114257 EPSG:900913:27 62619666 67245655 82401743 86228514 EPSG:900913:28 125239333 134491310 164803487 172457029 EPSG:900913:29 250478667 268982620 329606975 344914059 EPSG:900913:30 500957334 537965241 659213950 689828119 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 128 314 328 EPSG:4326x2:9 221 257 628 657 EPSG:4326x2:10 443 514 1257 1315 EPSG:4326x2:11 887 1028 2514 2631 EPSG:4326x2:12 1775 2056 5029 5262 EPSG:4326x2:13 3551 4112 10058 10525 EPSG:4326x2:14 7103 8225 20117 21051 EPSG:4326x2:15 14207 16450 40235 42103 EPSG:4326x2:16 28415 32901 80470 84207 EPSG:4326x2:17 56831 65803 160940 168415 EPSG:4326x2:18 113663 131606 321881 336830 EPSG:4326x2:19 227327 263212 643763 673660 EPSG:4326x2:20 454654 526425 1287527 1347320 EPSG:4326x2:21 909309 1052850 2575054 2694641 Status of River Breakages along Juba and Shabelle Rivers - Issued March 2023 SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery acquired from World View 2/World View 3 and PLEIADES and a Digital Elevation Model (DEM).Six types of breakages have been identified, namely; Canal Flooding Point, open, overflow, potential overflows, potential breakages and closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database.\r\n\r\n65 Open breakage points have been identified, 39 on the Shabelle River and 26 on the Juba River which require immediate action. 15 Overflows were also identified during this season.\r\n\r\nUsers are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available. 42.06809008 -0.07097 45.67867 4.89294 geonode:river_juba_shabelle_breakage_apr2023_18042022 text/xml other other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 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EPSG:4326x2:14 7746 8198 20213 20541 EPSG:4326x2:15 15493 16396 40426 41083 EPSG:4326x2:16 30986 32793 80852 82167 EPSG:4326x2:17 61973 65587 161705 164334 EPSG:4326x2:18 123946 131175 323410 328668 EPSG:4326x2:19 247892 262350 646820 657336 EPSG:4326x2:20 495784 524701 1293640 1314673 EPSG:4326x2:21 991569 1049402 2587280 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3984 4097 5053 5135 EPSG:900913:14 7969 8195 10106 10270 EPSG:900913:15 15938 16390 20213 20541 EPSG:900913:16 31876 32780 40426 41083 EPSG:900913:17 63752 65561 80852 82167 EPSG:900913:18 127504 131123 161705 164334 EPSG:900913:19 255009 262247 323410 328668 EPSG:900913:20 510018 524494 646820 657336 EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587280 2629347 EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Somalia Surface Water Sources The the dataset contains Somali Water Catchments, and their rehabilitation status, for the period between 2013 and 2017 divided into phases 2a, 2b, 2c, 3, 4, 5, 6a, 6b, 6c and 7a.The status depicted could either be 'rehabilitated', 'not rehabilitated', 'partially rehabilitated', 'not clear' or 'not assessed'.The water catchments are managed by different Non-Governmental Organizations in Somali.This dataset was generated by taking photographs of the catchments using GPS enabled digital cameras. The geographical X and Y coordinates of the catchments were extracted from the photographs and plotted to generate a shapefile layer. The developed shapefile was overlaid on high resolution satellite images captured just before and immediately after the rehabilitation of the water catchments. The satellite images were then observed for rehabilitation status of different water catchments. 40.99412667000007 -1.056002699999965 51.28286000000003 11.953340000000026 geonode:som_water_sources_ground_faoswalime805171a5d3d other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 955 1030 1257 1315 12 1911 2060 2514 2631 13 3822 4120 5028 5262 14 7644 8240 10057 10525 15 15288 16480 20115 21051 16 30576 32960 40230 42103 17 61152 65920 80461 84207 18 122304 131841 160923 168415 19 244608 263682 321846 336830 20 489216 527364 643692 673660 21 978432 1054728 1287384 1347320 22 1956864 2109456 2574768 2694640 23 3913728 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EPSG:900913x2:20 489216 527364 643692 673660 EPSG:900913x2:21 978432 1054728 1287384 1347320 EPSG:900913x2:22 1956864 2109456 2574768 2694640 EPSG:900913x2:23 3913728 4218912 5149536 5389281 EPSG:900913x2:24 7827456 8437824 10299072 10778562 EPSG:900913x2:25 15654912 16875648 20598145 21557124 EPSG:900913x2:26 31309825 33751296 41196291 43114249 EPSG:900913x2:27 62619651 67502592 82392582 86228499 EPSG:900913x2:28 125239303 135005185 164785164 172456999 EPSG:900913x2:29 250478606 270010370 329570328 344913999 EPSG:900913x2:30 500957212 540020741 659140657 689827999 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 129 314 328 EPSG:4326x2:9 221 259 628 657 EPSG:4326x2:10 443 518 1257 1315 EPSG:4326x2:11 887 1036 2514 2631 EPSG:4326x2:12 1775 2072 5028 5262 EPSG:4326x2:13 3551 4144 10057 10525 EPSG:4326x2:14 7103 8288 20115 21051 EPSG:4326x2:15 14207 16576 40230 42103 EPSG:4326x2:16 28415 33152 80461 84207 EPSG:4326x2:17 56831 66304 160923 168415 EPSG:4326x2:18 113663 132609 321846 336830 EPSG:4326x2:19 227327 265219 643692 673660 EPSG:4326x2:20 454654 530439 1287384 1347320 EPSG:4326x2:21 909309 1060879 2574768 2694640 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 257 314 328 EPSG:900913:10 477 515 628 657 EPSG:900913:11 955 1030 1257 1315 EPSG:900913:12 1911 2060 2514 2631 EPSG:900913:13 3822 4120 5028 5262 EPSG:900913:14 7644 8240 10057 10525 EPSG:900913:15 15288 16480 20115 21051 EPSG:900913:16 30576 32960 40230 42103 EPSG:900913:17 61152 65920 80461 84207 EPSG:900913:18 122304 131841 160923 168415 EPSG:900913:19 244608 263682 321846 336830 EPSG:900913:20 489216 527364 643692 673660 EPSG:900913:21 978432 1054728 1287384 1347320 EPSG:900913:22 1956864 2109456 2574768 2694640 EPSG:900913:23 3913728 4218912 5149536 5389281 EPSG:900913:24 7827456 8437824 10299072 10778562 EPSG:900913:25 15654912 16875648 20598145 21557124 EPSG:900913:26 31309825 33751296 41196291 43114249 EPSG:900913:27 62619651 67502592 82392582 86228499 EPSG:900913:28 125239303 135005185 164785164 172456999 EPSG:900913:29 250478606 270010370 329570328 344913999 EPSG:900913:30 500957212 540020741 659140657 689827999 Sorghum Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for rainfed sorghum cultivation across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching crop requirements with environmental conditions. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (temperature and rainfall) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (only ~25% coverage of land units), SoilGrids was used to derive soil properties such as texture, pH, salinity, organic carbon, rooting depth, and nutrient content across multiple depths (0–200 cm) . Each land unit was characterized using: Climate variables (rainfall, temperature, LGP) Topographic variables (slope, elevation, aspect) Soil properties (texture, depth, salinity, fertility, drainage) A matching table approach was applied, where: Crop-specific thresholds for sorghum were defined Parameters were classified into suitability classes (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation was used to compute a final suitability index The evaluation specifically considers rainfed conditions, making rainfall and LGP critical limiting factors. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (temperature and rainfall) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_sorghum_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 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EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Afgooye District Suitable Potential Higher Grounds For Evacuation During Flooding Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads\r\nBased on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. The output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. Areas with dense TWI were eliminated to remain with only continuous areas. 44.71230399386069 1.958741228294232 45.342860406402956 2.261656408500807 geonode:afgooye_potentialhigherground_forfloodevacuat other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 506 639 640 11 1011 1012 1278 1281 12 2022 2025 2556 2563 13 4044 4051 5113 5127 14 8089 8102 10226 10255 15 16178 16205 20453 20511 16 32356 32411 40907 41022 17 64712 64822 81815 82044 18 129424 129645 163630 164089 19 258849 259290 327261 328179 20 517698 518581 654522 656358 21 1035397 1037163 1309044 1312717 22 2070794 2074326 2618088 2625434 23 4141589 4148653 5236176 5250869 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EPSG:4326x2:15 15972 16027 40907 41022 EPSG:4326x2:16 31944 32054 81815 82044 EPSG:4326x2:17 63889 64109 163630 164089 EPSG:4326x2:18 127778 128219 327261 328179 EPSG:4326x2:19 255556 256438 654522 656358 EPSG:4326x2:20 511112 512877 1309044 1312717 EPSG:4326x2:21 1022225 1025755 2618088 2625434 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 506 639 640 EPSG:900913:11 1011 1012 1278 1281 EPSG:900913:12 2022 2025 2556 2563 EPSG:900913:13 4044 4051 5113 5127 EPSG:900913:14 8089 8102 10226 10255 EPSG:900913:15 16178 16205 20453 20511 EPSG:900913:16 32356 32411 40907 41022 EPSG:900913:17 64712 64822 81815 82044 EPSG:900913:18 129424 129645 163630 164089 EPSG:900913:19 258849 259290 327261 328179 EPSG:900913:20 517698 518581 654522 656358 EPSG:900913:21 1035397 1037163 1309044 1312717 EPSG:900913:22 2070794 2074326 2618088 2625434 EPSG:900913:23 4141589 4148653 5236176 5250869 EPSG:900913:24 8283179 8297306 10472352 10501738 EPSG:900913:25 16566359 16594612 20944704 21003476 EPSG:900913:26 33132719 33189225 41889409 42006953 EPSG:900913:27 66265438 66378450 83778819 84013907 EPSG:900913:28 132530876 132756900 167557638 168027815 EPSG:900913:29 265061753 265513800 335115276 336055630 EPSG:900913:30 530123506 531027600 670230553 672111261 Somalia Basins - HYDRO1K HYDRO1k is a geographic database developed to provide comprehensive and consistent global coverage of topographically derived data sets, including streams, drainage basins and ancillary layers derived from the USGS' 30 arc-second digital elevation model of the world (GTOPO30). HYDRO1k provides a suite of geo-referenced data sets, both raster and vector, which will be of value for all users who need to organize, evaluate, or process hydrologic information on a continental scale developed at the U.S. Geological Survey's EROS Center, the HYDRO1k project's goal is to provide to users, on a continent by continent basis, hydrologically correct DEMs along with ancillary data sets for use in continental and regional scale modeling and analyses. 39.47467804000007 -2.078907012999934 51.45048904400005 11.996755600000029 geonode:som_hydro1k_gtopo30_basins other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 258 312 329 10 477 517 624 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EPSG:900913:29 250412419 271536427 327304362 345163986 EPSG:900913:30 500824839 543072854 654608725 690327972 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 130 312 329 EPSG:4326x2:9 221 261 624 658 EPSG:4326x2:10 443 523 1248 1316 EPSG:4326x2:11 887 1047 2497 2633 EPSG:4326x2:12 1775 2095 4994 5266 EPSG:4326x2:13 3550 4190 9988 10533 EPSG:4326x2:14 7100 8381 19977 21067 EPSG:4326x2:15 14200 16762 39954 42134 EPSG:4326x2:16 28400 33524 79908 84268 EPSG:4326x2:17 56800 67049 159816 168537 EPSG:4326x2:18 113600 134099 319633 337074 EPSG:4326x2:19 227200 268199 639266 674148 EPSG:4326x2:20 454401 536398 1278532 1348296 EPSG:4326x2:21 908803 1072797 2557065 2696593 Agri-Suitability of Cowpea in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Cowpea in selected areas inNorthern part of Somalia (Garbiley and Boroma areas in Somaliland) 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_agrisuitability_cowpea_n_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 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EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Juba River Flooding (As at 10th Nov 2019 42.11526662212712 -0.26743428823423593 42.80374668683539 4.165473062598729 geonode:som_juba_river_flooding_as_at_10th_nov_2019 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 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2100267 2587830 2595851 23 4097155 4200535 5175660 5191703 24 8194311 8401071 10351321 10383407 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 30 32 78 79 EPSG:4326:7 61 64 157 158 EPSG:4326:8 122 128 315 316 EPSG:4326:9 244 256 631 633 EPSG:4326:10 488 513 1263 1267 EPSG:4326:11 976 1027 2527 2535 EPSG:4326:12 1953 2054 5054 5070 EPSG:4326:13 3906 4108 10108 10140 EPSG:4326:14 7812 8216 20217 20280 EPSG:4326:15 15625 16432 40434 40560 EPSG:4326:16 31251 32865 80869 81120 EPSG:4326:17 62502 65730 161739 162240 EPSG:4326:18 125005 131461 323478 324481 EPSG:4326:19 250011 262922 646957 648962 EPSG:4326:20 500022 525845 1293915 1297925 EPSG:4326:21 1000044 1051691 2587830 2595851 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 62 64 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524435945 537668568 662484587 664538059 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 30 32 78 79 EPSG:4326x2:7 61 64 157 158 EPSG:4326x2:8 122 128 315 316 EPSG:4326x2:9 244 256 631 633 EPSG:4326x2:10 488 513 1263 1267 EPSG:4326x2:11 976 1027 2527 2535 EPSG:4326x2:12 1953 2054 5054 5070 EPSG:4326x2:13 3906 4108 10108 10140 EPSG:4326x2:14 7812 8216 20217 20280 EPSG:4326x2:15 15625 16432 40434 40560 EPSG:4326x2:16 31251 32865 80869 81120 EPSG:4326x2:17 62502 65730 161739 162240 EPSG:4326x2:18 125005 131461 323478 324481 EPSG:4326x2:19 250011 262922 646957 648962 EPSG:4326x2:20 500022 525845 1293915 1297925 EPSG:4326x2:21 1000044 1051691 2587830 2595851 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 62 64 78 79 EPSG:900913:8 125 128 157 158 EPSG:900913:9 250 256 315 316 EPSG:900913:10 500 512 631 633 EPSG:900913:11 1000 1025 1263 1267 EPSG:900913:12 2000 2051 2527 2535 EPSG:900913:13 4001 4102 5054 5070 EPSG:900913:14 8002 8204 10108 10140 EPSG:900913:15 16004 16408 20217 20280 EPSG:900913:16 32009 32816 40434 40560 EPSG:900913:17 64018 65633 80869 81120 EPSG:900913:18 128036 131266 161739 162240 EPSG:900913:19 256072 262533 323478 324481 EPSG:900913:20 512144 525066 646957 648962 EPSG:900913:21 1024288 1050133 1293915 1297925 EPSG:900913:22 2048577 2100267 2587830 2595851 EPSG:900913:23 4097155 4200535 5175660 5191703 EPSG:900913:24 8194311 8401071 10351321 10383407 EPSG:900913:25 16388623 16802142 20702643 20766814 EPSG:900913:26 32777246 33604285 41405286 41533628 EPSG:900913:27 65554493 67208571 82810573 83067257 EPSG:900913:28 131108986 134417142 165621146 166134514 EPSG:900913:29 262217972 268834284 331242293 332269029 EPSG:900913:30 524435945 537668568 662484587 664538059 Maize Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for rainfed and irrigated maize cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for maize production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data, where only 71 out of 318 land units are covered by existing soil profiles, SoilGrids machine learning-derived data was used to fill spatial gaps and complete the national coverage The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation, erosion risk) Hydrological conditions (flooding risk, permeability, drainage) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was performed for both rainfed and irrigated maize using crop-specific requirements and matching tables derived from literature and field experience Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_maize_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 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EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Date Palm Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_date_palm_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Somalia North & South Soil Survey Samples Distribution Data Shows soils field samples collected in the Northern and southern parts of Somalia by SWALIM during soil surveys in 2006 and 2008 respectively.For field photos attached to some of the sample points see the link https://www.dropbox.com/sh/n60nk7i00g76r1e/AAAYlbJUDYgR_MmWKcvkKyVMa?dl=0 42.25800000000004 0.039444400000036 45.79119999900007 10.628200001000039 geonode:labsoil other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 30 31 39 40 7 60 63 79 80 8 120 127 158 160 9 240 255 316 321 10 481 511 632 642 11 963 1023 1264 1284 12 1926 2047 2528 2569 13 3852 4095 5057 5138 14 7705 8190 10115 10276 15 15411 16380 20230 20552 16 30822 32760 40460 41104 17 61644 65521 80921 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EPSG:4326:8 112 127 316 321 EPSG:4326:9 225 255 632 642 EPSG:4326:10 451 511 1264 1284 EPSG:4326:11 903 1023 2528 2569 EPSG:4326:12 1806 2047 5057 5138 EPSG:4326:13 3612 4094 10115 10276 EPSG:4326:14 7224 8188 20230 20552 EPSG:4326:15 14449 16376 40460 41104 EPSG:4326:16 28898 32753 80921 82208 EPSG:4326:17 57796 65507 161843 164416 EPSG:4326:18 115593 131014 323686 328832 EPSG:4326:19 231187 262029 647373 657664 EPSG:4326:20 462374 524058 1294746 1315329 EPSG:4326:21 924748 1048116 2589493 2630658 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 30 31 39 40 EPSG:900913x2:7 60 63 79 80 EPSG:900913x2:8 120 127 158 160 EPSG:900913x2:9 240 255 316 321 EPSG:900913x2:10 481 511 632 642 EPSG:900913x2:11 963 1023 1264 1284 EPSG:900913x2:12 1926 2047 2528 2569 EPSG:900913x2:13 3852 4095 5057 5138 EPSG:900913x2:14 7705 8190 10115 10276 EPSG:900913x2:15 15411 16380 20230 20552 EPSG:900913x2:16 30822 32760 40460 41104 EPSG:900913x2:17 61644 65521 80921 82208 EPSG:900913x2:18 123288 131043 161843 164416 EPSG:900913x2:19 246576 262086 323686 328832 EPSG:900913x2:20 493152 524173 647373 657664 EPSG:900913x2:21 986304 1048346 1294746 1315329 EPSG:900913x2:22 1972608 2096692 2589493 2630658 EPSG:900913x2:23 3945216 4193384 5178986 5261316 EPSG:900913x2:24 7890432 8386769 10357973 10522632 EPSG:900913x2:25 15780865 16773539 20715947 21045265 EPSG:900913x2:26 31561731 33547079 41431894 42090530 EPSG:900913x2:27 63123462 67094158 82863788 84181060 EPSG:900913x2:28 126246924 134188316 165727576 168362121 EPSG:900913x2:29 252493848 268376632 331455153 336724242 EPSG:900913x2:30 504987696 536753264 662910306 673448485 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 14 15 39 40 EPSG:4326x2:6 28 31 79 80 EPSG:4326x2:7 56 63 158 160 EPSG:4326x2:8 112 127 316 321 EPSG:4326x2:9 225 255 632 642 EPSG:4326x2:10 451 511 1264 1284 EPSG:4326x2:11 903 1023 2528 2569 EPSG:4326x2:12 1806 2047 5057 5138 EPSG:4326x2:13 3612 4094 10115 10276 EPSG:4326x2:14 7224 8188 20230 20552 EPSG:4326x2:15 14449 16376 40460 41104 EPSG:4326x2:16 28898 32753 80921 82208 EPSG:4326x2:17 57796 65507 161843 164416 EPSG:4326x2:18 115593 131014 323686 328832 EPSG:4326x2:19 231187 262029 647373 657664 EPSG:4326x2:20 462374 524058 1294746 1315329 EPSG:4326x2:21 924748 1048116 2589493 2630658 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 30 31 39 40 EPSG:900913:7 60 63 79 80 EPSG:900913:8 120 127 158 160 EPSG:900913:9 240 255 316 321 EPSG:900913:10 481 511 632 642 EPSG:900913:11 963 1023 1264 1284 EPSG:900913:12 1926 2047 2528 2569 EPSG:900913:13 3852 4095 5057 5138 EPSG:900913:14 7705 8190 10115 10276 EPSG:900913:15 15411 16380 20230 20552 EPSG:900913:16 30822 32760 40460 41104 EPSG:900913:17 61644 65521 80921 82208 EPSG:900913:18 123288 131043 161843 164416 EPSG:900913:19 246576 262086 323686 328832 EPSG:900913:20 493152 524173 647373 657664 EPSG:900913:21 986304 1048346 1294746 1315329 EPSG:900913:22 1972608 2096692 2589493 2630658 EPSG:900913:23 3945216 4193384 5178986 5261316 EPSG:900913:24 7890432 8386769 10357973 10522632 EPSG:900913:25 15780865 16773539 20715947 21045265 EPSG:900913:26 31561731 33547079 41431894 42090530 EPSG:900913:27 63123462 67094158 82863788 84181060 EPSG:900913:28 126246924 134188316 165727576 168362121 EPSG:900913:29 252493848 268376632 331455153 336724242 EPSG:900913:30 504987696 536753264 662910306 673448485 Projected Security Risk in Somalia (2018) This dataset contains the administrative bundaries of Somalia (district, regions, zones).The boundaries were first created by USAID/FEWS and modified by UNDP - Data & Information Management Unit (DIMU) in 21/03/2001. This layer contains the first level (International) boundary at a 1:1,000,000 scale. The coverage is part of the Famine Early Warning System (FEWS)/Associates in Rural Development (ARD), African series.The coastline was digitized from LANDSAT TM images at a scale of 1:50000 by DIMU. This coastline was then added to the boundaries and the original coastline amended.Acknowledgement of USAID, FEWS, EDC-International Program, ADDS (Africa Data Dissemination Service), UNDP and the U.S Geological Survey would be appreciated in products derived from these data.The source of the second (region) and third (district) level boundaries are from the Digital Chart of the World (DCW).The names of the regions and districts have been agreed upon by the Statistical Working Group at very high levels by statistical focal points from UN agencies, and Ministries from within the Transitional Federal government of Somalia. The names have also been endorsed by the Somalia Interagency Mapping and Coordination group (SIMaC).This layer was compiled using the pre-war boundaries and the names adopted by this statistical working group.  Additional columns hold "alternate" spellings such as anglicized names. 40.98950576800007 -1.66006135899994 51.41412735100005 11.985942841000053 geonode:som_security_projected_risk_2018_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16535 20114 21063 16 30569 33070 40229 42127 17 61139 66140 80459 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EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7101 8343 20114 21063 EPSG:4326x2:15 14202 16686 40229 42127 EPSG:4326x2:16 28404 33372 80459 84255 EPSG:4326x2:17 56808 66744 160919 168510 EPSG:4326x2:18 113616 133489 321839 337021 EPSG:4326x2:19 227232 266979 643678 674042 EPSG:4326x2:20 454464 533958 1287357 1348085 EPSG:4326x2:21 908929 1067917 2574714 2696170 Somalia Landuse System (2007) This landuse systems data is produced from FAO Landcover data for Somalia 2000. 40.989507685000035 -1.652780052999958 51.41412686700005 11.988650282000037 geonode:som_landuse_system_faoswalim2007 other other other other text/xml other other application/json;type=utfgrid image/png 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1956443 2116410 2574714 2696169 EPSG:900913:23 3912887 4232821 5149428 5392339 EPSG:900913:24 7825774 8465643 10298857 10784679 EPSG:900913:25 15651548 16931287 20597715 21569359 EPSG:900913:26 31303097 33862575 41195430 43138719 EPSG:900913:27 62606194 67725150 82390860 86277439 EPSG:900913:28 125212388 135450301 164781720 172554879 EPSG:900913:29 250424777 270900602 329563440 345109759 EPSG:900913:30 500849554 541801204 659126880 690219518 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8342 20114 21063 EPSG:4326x2:15 14201 16684 40229 42127 EPSG:4326x2:16 28403 33369 80459 84255 EPSG:4326x2:17 56806 66739 160919 168510 EPSG:4326x2:18 113612 133479 321839 337021 EPSG:4326x2:19 227224 266958 643678 674042 EPSG:4326x2:20 454449 533916 1287357 1348084 EPSG:4326x2:21 908898 1067832 2574714 2696169 Sesame Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_sesame_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 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159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Somalia Flood Prone Areas (2018) Somalia experiences two types of flooding: river floods and flash floods. River floods occur along the Juba and Shabelle rivers in Southern Somalia, whereas flash floods are common along the intermittent streams in the northern part of the country.in the recent past, the country has experienced an increasing severity and frequency of floods. The historically most recent severe floods were those of the Deyr in 1961, 1977, 1997, and 2006, and the floods of the Gu in 1981 and 2005. These floods resulted in human casualties and major economic damage.Whereas flash floods in Somalia result from localised rains, river flooding along the Juba and Shabelle rivers are primarily due to drainage from catchment areas located in the Ethiopian highlands, which normally experience heavier and more frequent rainfall than what occurs in Somalia. 42.07852136900004 -0.105086470999936 45.742361206000055 5.011309427000072 geonode:som_flood_prone_areas_faoswalim2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 642 11 995 1024 1263 1284 12 1990 2049 2526 2568 13 3981 4098 5053 5136 14 7963 8196 10107 10273 15 15927 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EPSG:900913x2:14 7963 8196 10107 10273 EPSG:900913x2:15 15927 16393 20214 20547 EPSG:900913x2:16 31854 32787 40428 41095 EPSG:900913x2:17 63709 65574 80856 82190 EPSG:900913x2:18 127418 131148 161712 164380 EPSG:900913x2:19 254836 262297 323425 328761 EPSG:900913x2:20 509672 524594 646850 657522 EPSG:900913x2:21 1019345 1049188 1293701 1315044 EPSG:900913x2:22 2038691 2098376 2587402 2630089 EPSG:900913x2:23 4077382 4196752 5174804 5260178 EPSG:900913x2:24 8154765 8393505 10349609 10520356 EPSG:900913x2:25 16309531 16787010 20699218 21040713 EPSG:900913x2:26 32619062 33574021 41398436 42081426 EPSG:900913x2:27 65238125 67148043 82796873 84162852 EPSG:900913x2:28 130476251 134296086 165593747 168325704 EPSG:900913x2:29 260952502 268592172 331187495 336651409 EPSG:900913x2:30 521905005 537184344 662374990 673302818 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 642 EPSG:900913:11 995 1024 1263 1284 EPSG:900913:12 1990 2049 2526 2568 EPSG:900913:13 3981 4098 5053 5136 EPSG:900913:14 7963 8196 10107 10273 EPSG:900913:15 15927 16393 20214 20547 EPSG:900913:16 31854 32787 40428 41095 EPSG:900913:17 63709 65574 80856 82190 EPSG:900913:18 127418 131148 161712 164380 EPSG:900913:19 254836 262297 323425 328761 EPSG:900913:20 509672 524594 646850 657522 EPSG:900913:21 1019345 1049188 1293701 1315044 EPSG:900913:22 2038691 2098376 2587402 2630089 EPSG:900913:23 4077382 4196752 5174804 5260178 EPSG:900913:24 8154765 8393505 10349609 10520356 EPSG:900913:25 16309531 16787010 20699218 21040713 EPSG:900913:26 32619062 33574021 41398436 42081426 EPSG:900913:27 65238125 67148043 82796873 84162852 EPSG:900913:28 130476251 134296086 165593747 168325704 EPSG:900913:29 260952502 268592172 331187495 336651409 EPSG:900913:30 521905005 537184344 662374990 673302818 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 642 EPSG:4326x2:10 483 512 1263 1284 EPSG:4326x2:11 966 1025 2526 2568 EPSG:4326x2:12 1933 2050 5053 5136 EPSG:4326x2:13 3867 4100 10107 10273 EPSG:4326x2:14 7735 8201 20214 20547 EPSG:4326x2:15 15471 16403 40428 41095 EPSG:4326x2:16 30943 32806 80856 82190 EPSG:4326x2:17 61886 65612 161712 164380 EPSG:4326x2:18 123773 131225 323425 328761 EPSG:4326x2:19 247547 262450 646850 657522 EPSG:4326x2:20 495095 524900 1293701 1315044 EPSG:4326x2:21 990190 1049800 2587402 2630089 SOM_Relief_S_FAOSWALIM This data is about Somalia relief and landscape which represents information about elevations and landforms of southern part of Somalia. Data on topography from NASA SRTM 90 m. 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_relief_s_faoswalim text/xml other other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:3857x2 0 0 0 0 0 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EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Maize Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_maize_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Somalia Cross Boundary Basins Somalia cross boundary basin data, is a geographic database developed to provide comprehensive and consistent global coverage of topographically derived data sets, including streams, drainage basins and ancillary layers derived from the USGS' 30 arc-second digital elevation model of the world (GTOPO30). HYDRO1k provides a suite of geo-referenced data sets, both raster and vector, which will be of value for all users who need to organize, evaluate, or process hydrologic information on a continental scale developed at the U.S. Geological Survey's EROS Center, the HYDRO1k project's goal is to provide to users, on a continent by continent basis, hydrologically correct DEMs along with ancillary data sets for use in continental and regional scale modeling and analyses. 36.27611069400007 -1.810834270999976 51.33075241800003 11.996755415000052 geonode:som_hydro_crossborder_basins other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 38 41 7 59 64 76 82 8 119 129 153 164 9 238 258 307 329 10 477 517 615 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EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 38 41 EPSG:900913:7 59 64 76 82 EPSG:900913:8 119 129 153 164 EPSG:900913:9 238 258 307 329 EPSG:900913:10 477 517 615 658 EPSG:900913:11 955 1034 1230 1316 EPSG:900913:12 1910 2068 2460 2632 EPSG:900913:13 3820 4137 4921 5264 EPSG:900913:14 7641 8274 9842 10528 EPSG:900913:15 15283 16548 19685 21056 EPSG:900913:16 30567 33097 39371 42112 EPSG:900913:17 61135 66195 78743 84224 EPSG:900913:18 122271 132390 157487 168449 EPSG:900913:19 244543 264781 314974 336899 EPSG:900913:20 489086 529563 629949 673799 EPSG:900913:21 978173 1059126 1259899 1347599 EPSG:900913:22 1956347 2118253 2519799 2695198 EPSG:900913:23 3912694 4236506 5039598 5390397 EPSG:900913:24 7825388 8473013 10079197 10780794 EPSG:900913:25 15650776 16946026 20158394 21561588 EPSG:900913:26 31301552 33892052 40316789 43123177 EPSG:900913:27 62603105 67784104 80633578 86246355 EPSG:900913:28 125206210 135568208 161267156 172492711 EPSG:900913:29 250412420 271136417 322534313 344985422 EPSG:900913:30 500824840 542272834 645068626 689970844 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 38 41 EPSG:4326x2:6 27 32 76 82 EPSG:4326x2:7 55 65 153 164 EPSG:4326x2:8 110 130 307 329 EPSG:4326x2:9 221 261 615 658 EPSG:4326x2:10 443 522 1230 1316 EPSG:4326x2:11 887 1044 2460 2632 EPSG:4326x2:12 1775 2089 4921 5264 EPSG:4326x2:13 3550 4178 9842 10528 EPSG:4326x2:14 7100 8356 19685 21056 EPSG:4326x2:15 14200 16713 39371 42112 EPSG:4326x2:16 28400 33427 78743 84224 EPSG:4326x2:17 56800 66854 157487 168449 EPSG:4326x2:18 113600 133709 314974 336899 EPSG:4326x2:19 227200 267418 629949 673799 EPSG:4326x2:20 454401 534836 1259899 1347599 EPSG:4326x2:21 908803 1069673 2519799 2695198 Forest Suitability of CasuarinaEquisetifolia in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Casuarina Equisetifolia in selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_casuarinaequisetif other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 4 EPSG:4326:3 3 3 9 9 EPSG:4326:4 7 7 19 19 EPSG:4326:5 14 14 39 39 EPSG:4326:6 28 28 79 79 EPSG:4326:7 56 57 158 159 EPSG:4326:8 112 114 317 319 EPSG:4326:9 225 229 634 638 EPSG:4326:10 451 459 1268 1276 EPSG:4326:11 902 919 2537 2553 EPSG:4326:12 1804 1839 5074 5107 EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299132 1307586 EPSG:900913x2:22 1971878 1989895 2598265 2615173 EPSG:900913x2:23 3943757 3979791 5196531 5230346 EPSG:900913x2:24 7887514 7959583 10393062 10460692 EPSG:900913x2:25 15775028 15919166 20786124 20921384 EPSG:900913x2:26 31550056 31838333 41572249 41842768 EPSG:900913x2:27 63100112 63676667 83144499 83685537 EPSG:900913x2:28 126200224 127353334 166288999 167371075 EPSG:900913x2:29 252400449 254706669 332577999 334742151 EPSG:900913x2:30 504800899 509413338 665155998 669484302 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 Land GrazeSuitability - Cattle (Somaliland) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Cattle) in selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092679300007 9.166513131000045 44.46210394500008 10.689748208000026 geonode:grazesuitabilitycamels_north other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 4 EPSG:4326:3 3 3 9 9 EPSG:4326:4 7 7 19 19 EPSG:4326:5 14 14 39 39 EPSG:4326:6 28 28 79 79 EPSG:4326:7 56 57 158 159 EPSG:4326:8 112 114 317 319 EPSG:4326:9 225 229 634 638 EPSG:4326:10 451 459 1268 1276 EPSG:4326:11 902 919 2537 2553 EPSG:4326:12 1804 1839 5074 5107 EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299132 1307586 EPSG:900913x2:22 1971878 1989895 2598265 2615173 EPSG:900913x2:23 3943757 3979791 5196531 5230346 EPSG:900913x2:24 7887514 7959583 10393062 10460692 EPSG:900913x2:25 15775028 15919166 20786124 20921384 EPSG:900913x2:26 31550056 31838333 41572249 41842768 EPSG:900913x2:27 63100112 63676667 83144499 83685537 EPSG:900913x2:28 126200224 127353334 166288999 167371075 EPSG:900913x2:29 252400449 254706669 332577999 334742151 EPSG:900913x2:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Somalia Hydromet Stations 2021 There are only two perennial rivers in Somalia; the Juba and the Shabelle. Due to the arid and semi-arid nature of the northern parts of the country, the rivers are dry and flashy with water flowing for few hours and there are no river gauging stations in these rivers. Before 1991, the Ministry of Agriculture was mandated to operate the river flow and climate gauging stations. However, the network collapsed following the break of civil war in the early nineties. No data was collected between 1991 and 2001/2. SWALIM re-established the network in 2001/2 and by installing new stations in some areas and the network has continued to expend progressively. Out of the 14 river gauging stations that were operational before the war only eight stations are currently operational; four on the Shabelle and four on the Juba. The climate monitoring network has over 100 stations across Somalia. FAO SWALIM has partnered with the Ministry of Energy and Water Resources (MOEWR) and Ministry of Agriculture (MOA) in river and climate data collection respectively. However, under the current context with federal governments and regions, the Puntland ministry of Environment, Agriculture and climate change and the Somaliland Ministry of Agricultural development are responsible for climate data in their respective regions. 42.079382 -0.350043336883837 50.811797 11.96532 geonode:hydromet_stations_july_2021 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 315 328 10 477 512 631 656 11 955 1025 1263 1313 12 1910 2051 2526 2626 13 3821 4103 5053 5252 14 7643 8207 10107 10504 15 15286 16415 20214 21009 16 30573 32831 40428 42018 17 61147 65663 80856 84036 18 122295 131326 161713 168072 19 244590 262653 323426 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EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 128 315 328 EPSG:4326x2:9 221 256 631 656 EPSG:4326x2:10 443 513 1263 1313 EPSG:4326x2:11 887 1027 2526 2626 EPSG:4326x2:12 1775 2055 5053 5252 EPSG:4326x2:13 3551 4111 10107 10504 EPSG:4326x2:14 7102 8223 20214 21009 EPSG:4326x2:15 14205 16447 40428 42018 EPSG:4326x2:16 28411 32895 80856 84036 EPSG:4326x2:17 56823 65790 161713 168072 EPSG:4326x2:18 113646 131581 323426 336144 EPSG:4326x2:19 227292 263163 646853 672288 EPSG:4326x2:20 454584 526327 1293706 1344576 EPSG:4326x2:21 909169 1052654 2587412 2689152 Rehabilitated Water Catchments - Phases 2A to 7B Somalia surface water resources infrastructures rehabilitated by FAO Somalia under Cash for Work Programme. 40.99125300000003 -0.496942999999931 50.503013889000044 11.229535000000055 geonode:water_cathments_phases_2ato7b_sws other other other other text/xml other other application/json;type=utfgrid image/png 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EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 40 EPSG:900913:7 59 64 78 81 EPSG:900913:8 119 128 157 163 EPSG:900913:9 239 256 314 327 EPSG:900913:10 479 513 628 655 EPSG:900913:11 959 1026 1257 1311 EPSG:900913:12 1919 2053 2514 2622 EPSG:900913:13 3838 4107 5028 5245 EPSG:900913:14 7677 8214 10057 10490 EPSG:900913:15 15355 16429 20115 20980 EPSG:900913:16 30710 32858 40230 41961 EPSG:900913:17 61421 65716 80460 83923 EPSG:900913:18 122842 131433 160920 167847 EPSG:900913:19 245684 262867 321841 335694 EPSG:900913:20 491368 525735 643683 671388 EPSG:900913:21 982736 1051470 1287367 1342777 EPSG:900913:22 1965472 2102941 2574734 2685554 EPSG:900913:23 3930945 4205883 5149469 5371109 EPSG:900913:24 7861890 8411767 10298938 10742219 EPSG:900913:25 15723781 16823535 20597877 21484438 EPSG:900913:26 31447562 33647070 41195755 42968876 EPSG:900913:27 62895125 67294140 82391510 85937752 EPSG:900913:28 125790251 134588280 164783021 171875504 EPSG:900913:29 251580503 269176560 329566043 343751009 EPSG:900913:30 503161006 538353120 659132086 687502018 Forest Suitability of AcaciaNilotica in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Acacia Niloticain selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092679300007 9.166513131000045 44.46210394500008 10.689748208000026 geonode:land_forestsuitability_acacianilotica_n other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 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EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299132 1307586 EPSG:900913x2:22 1971878 1989895 2598265 2615173 EPSG:900913x2:23 3943757 3979791 5196531 5230346 EPSG:900913x2:24 7887514 7959583 10393062 10460692 EPSG:900913x2:25 15775028 15919166 20786124 20921384 EPSG:900913x2:26 31550056 31838333 41572249 41842768 EPSG:900913x2:27 63100112 63676667 83144499 83685537 EPSG:900913x2:28 126200224 127353334 166288999 167371075 EPSG:900913x2:29 252400449 254706669 332577999 334742151 EPSG:900913x2:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Mean Annual Groundwater Storage Balance Multi-annual 2003-2024 The mean storage anomaly balance over the study period (2003-2024). The results indicate that the overall balance is nearly closed, with maximum deviations staying within ±8 mm over the 20-year period. The results show a north-south gradient, with predominantly negative balance values in the northern regions, and increasingly positive values towards the south. This pattern coincides with that of the mean annual precipitation, suggesting that groundwater dynamics are closely influenced by rainfall patterns. The northeastern area exhibits the most significant negative balance reaching values near -8 mm/year over the study period (2003-2024). However, in the northern part of the country, certain areas show a significant positive balance in groundwater storage (close to 8 mm/year), coinciding with the Karkaar Mountains. Running parallel to the Gulf of Aden coast, these mountains rise to elevations of up to 2,460 meters at Mount Shimbiris, the highest peak in the country. They receive higher precipitation than the surrounding arid lowlands, contributing to localized increases in groundwater storage. In contrast, the central and southern regions of the country show a widespread increase in groundwater storage, consistent with the higher annual rainfall observed in these areas. This pattern is especially evident along the lower courses of the Juba and Shabelle rivers. The adjacent alluvial plains, composed of permeable sediments, allow substantial infiltration during high-flow periods. In the Mogadishu area, the wetlands fed by the Shabelle River play a crucial role in recharging the aquifers. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanannualgroundwaters other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 1061686 1284505 1351497 22 1950347 2123373 2569011 2702995 23 3900694 4246746 5138022 5405991 24 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15237 16588 20070 21117 EPSG:900913:16 30474 33177 40140 42234 EPSG:900913:17 60948 66355 80281 84468 EPSG:900913:18 121896 132710 160563 168937 EPSG:900913:19 243793 265421 321126 337874 EPSG:900913:20 487586 530843 642252 675748 EPSG:900913:21 975173 1061686 1284505 1351497 EPSG:900913:22 1950347 2123373 2569011 2702995 EPSG:900913:23 3900694 4246746 5138022 5405991 EPSG:900913:24 7801388 8493492 10276044 10811983 EPSG:900913:25 15602777 16986985 20552089 21623967 EPSG:900913:26 31205555 33973970 41104179 43247934 EPSG:900913:27 62411110 67947940 82208358 86495869 EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Landsat8 ImageIndex Granule_Somalia Image Index:it contains feature classes that contain information about the path/row, scene boundaries and the geographic coordinates of the imageries acquired by satellites for Somalia. These indices help in identifying the numbers of images covering Somaliaand are easy guides for identifying searching for the required images. 39.17280000000005 -2.326979999999935 52.90050000000008 12.450900000000047 geonode:som_landsat8_imageindex_granule other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 38 41 7 59 64 77 82 8 119 129 155 165 9 238 259 311 331 10 476 518 623 662 11 952 1037 1246 1324 12 1905 2074 2493 2649 13 3810 4148 4987 5299 14 7620 8297 9974 10599 15 15241 16595 19949 21199 16 30483 33191 39899 42398 17 60966 66383 79798 84796 18 121933 132766 159596 169592 19 243866 265533 319193 339185 20 487733 531067 638387 678371 21 975466 1062135 1276774 1356743 22 1950933 2124270 2553548 2713487 23 3901866 4248541 5107096 5426974 24 7803732 8497082 10214192 10853949 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 38 41 7 59 64 77 82 8 119 129 155 165 9 238 259 311 331 10 476 518 623 662 11 952 1037 1246 1324 12 1905 2074 2493 2649 13 3810 4148 4987 5299 14 7620 8297 9974 10599 15 15241 16595 19949 21199 16 30483 33191 39899 42398 17 60966 66383 79798 84796 18 121933 132766 159596 169592 19 243866 265533 319193 339185 20 487733 531067 638387 678371 21 975466 1062135 1276774 1356743 22 1950933 2124270 2553548 2713487 23 3901866 4248541 5107096 5426974 24 7803732 8497082 10214192 10853949 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 38 41 EPSG:4326:6 27 32 77 82 EPSG:4326:7 55 65 155 165 EPSG:4326:8 110 131 311 331 EPSG:4326:9 220 262 623 662 EPSG:4326:10 441 525 1246 1324 EPSG:4326:11 882 1050 2493 2649 EPSG:4326:12 1764 2100 4987 5299 EPSG:4326:13 3529 4201 9974 10599 EPSG:4326:14 7058 8403 19949 21199 EPSG:4326:15 14117 16807 39899 42398 EPSG:4326:16 28234 33615 79798 84796 EPSG:4326:17 56469 67230 159596 169592 EPSG:4326:18 112939 134460 319193 339185 EPSG:4326:19 225878 268921 638387 678371 EPSG:4326:20 451756 537843 1276774 1356743 EPSG:4326:21 903512 1075687 2553548 2713487 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 38 41 EPSG:900913x2:7 59 64 77 82 EPSG:900913x2:8 119 129 155 165 EPSG:900913x2:9 238 259 311 331 EPSG:900913x2:10 476 518 623 662 EPSG:900913x2:11 952 1037 1246 1324 EPSG:900913x2:12 1905 2074 2493 2649 EPSG:900913x2:13 3810 4148 4987 5299 EPSG:900913x2:14 7620 8297 9974 10599 EPSG:900913x2:15 15241 16595 19949 21199 EPSG:900913x2:16 30483 33191 39899 42398 EPSG:900913x2:17 60966 66383 79798 84796 EPSG:900913x2:18 121933 132766 159596 169592 EPSG:900913x2:19 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EPSG:900913:14 7620 8297 9974 10599 EPSG:900913:15 15241 16595 19949 21199 EPSG:900913:16 30483 33191 39899 42398 EPSG:900913:17 60966 66383 79798 84796 EPSG:900913:18 121933 132766 159596 169592 EPSG:900913:19 243866 265533 319193 339185 EPSG:900913:20 487733 531067 638387 678371 EPSG:900913:21 975466 1062135 1276774 1356743 EPSG:900913:22 1950933 2124270 2553548 2713487 EPSG:900913:23 3901866 4248541 5107096 5426974 EPSG:900913:24 7803732 8497082 10214192 10853949 EPSG:900913:25 15607464 16994165 20428385 21707899 EPSG:900913:26 31214929 33988331 40856771 43415799 EPSG:900913:27 62429859 67976663 81713542 86831599 EPSG:900913:28 124859718 135953327 163427084 173663199 EPSG:900913:29 249719437 271906654 326854169 347326399 EPSG:900913:30 499438874 543813308 653708339 694652799 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 38 41 EPSG:4326x2:6 27 32 77 82 EPSG:4326x2:7 55 65 155 165 EPSG:4326x2:8 110 131 311 331 EPSG:4326x2:9 220 262 623 662 EPSG:4326x2:10 441 525 1246 1324 EPSG:4326x2:11 882 1050 2493 2649 EPSG:4326x2:12 1764 2100 4987 5299 EPSG:4326x2:13 3529 4201 9974 10599 EPSG:4326x2:14 7058 8403 19949 21199 EPSG:4326x2:15 14117 16807 39899 42398 EPSG:4326x2:16 28234 33615 79798 84796 EPSG:4326x2:17 56469 67230 159596 169592 EPSG:4326x2:18 112939 134460 319193 339185 EPSG:4326x2:19 225878 268921 638387 678371 EPSG:4326x2:20 451756 537843 1276774 1356743 EPSG:4326x2:21 903512 1075687 2553548 2713487 Banana Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_banana_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 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EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Data - Status of River Breakages along Juba and Shabelle Rivers - Issued March 2025 FAO-SWALIM has released the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Five types of breakages have been identified; Open, Overflow, Canal Breakage, Canal Intake Flooding and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. A legend/Key for further explanation of the different types of breakages is provided. A long the Shabelle river, 171 Open points, 2 Canal Breakages, 51 Canal flooding points, 323 Overflow points and 17 points closed with sandbags have been identified while along Juba river 104 Open points, 1 Canal Breakage, 16 Canal flooding points, 83 Overflow points and 1 point closed with sandbags have been identified. Several other points, which are either potential or temporarily closed with sandbags, have also been identified. 42.06187852925861 -0.095961273859731 45.67792175611577 4.893462037080062 geonode:river_breakages_juba_shabelle_march2026 other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2049 2526 2567 13 3984 4098 5053 5135 14 7969 8196 10106 10270 15 15938 16392 20212 20541 16 31876 32785 40425 41083 17 63752 65570 80850 82166 18 127504 131141 161700 164333 19 255008 262283 323401 328667 20 510017 524567 646802 657334 21 1020034 1049135 1293604 1314669 22 2040069 2098270 2587208 2629338 23 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Digitized and compiled from VHR satellite images by FAO Somalia Water and Land Information Management (SWALIM). 42.122141320000026 -0.253669431999924 45.678607914000054 4.972897068000066 geonode:som_river_shabelle_juba_poly_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 320 10 497 512 631 641 11 995 1025 1263 1283 12 1991 2050 2527 2567 13 3982 4101 5054 5135 14 7965 8203 10109 10270 15 15930 16407 20218 20541 16 31861 32814 40436 41083 17 63723 65628 80872 82167 18 127446 131256 161744 164334 19 254892 262513 323488 328668 20 509785 525026 646977 657336 21 1019570 1050053 1293955 1314673 22 2039140 2100107 2587910 2629346 23 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7739 8215 20218 20541 EPSG:4326x2:15 15478 16430 40436 41083 EPSG:4326x2:16 30957 32860 80872 82167 EPSG:4326x2:17 61914 65720 161744 164334 EPSG:4326x2:18 123829 131441 323488 328668 EPSG:4326x2:19 247659 262882 646977 657336 EPSG:4326x2:20 495318 525765 1293955 1314673 EPSG:4326x2:21 990637 1051531 2587910 2629346 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 320 EPSG:900913:10 497 512 631 641 EPSG:900913:11 995 1025 1263 1283 EPSG:900913:12 1991 2050 2527 2567 EPSG:900913:13 3982 4101 5054 5135 EPSG:900913:14 7965 8203 10109 10270 EPSG:900913:15 15930 16407 20218 20541 EPSG:900913:16 31861 32814 40436 41083 EPSG:900913:17 63723 65628 80872 82167 EPSG:900913:18 127446 131256 161744 164334 EPSG:900913:19 254892 262513 323488 328668 EPSG:900913:20 509785 525026 646977 657336 EPSG:900913:21 1019570 1050053 1293955 1314673 EPSG:900913:22 2039140 2100107 2587910 2629346 EPSG:900913:23 4078281 4200214 5175821 5258692 EPSG:900913:24 8156562 8400429 10351642 10517385 EPSG:900913:25 16313125 16800859 20703284 21034770 EPSG:900913:26 32626250 33601719 41406568 42069541 EPSG:900913:27 65252501 67203439 82813136 84139083 EPSG:900913:28 130505002 134406878 165626273 168278166 EPSG:900913:29 261010005 268813756 331252546 336556333 EPSG:900913:30 522020011 537627513 662505092 673112666 Grazing Suitability for Sheep - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for extensive grazing and forage production across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching environmental conditions with requirements for grazing and forage production. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (~25% land unit coverage), SoilGrids was used to derive key soil properties across multiple depths . Each land unit was evaluated using: Climate factors (rainfall, temperature, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation) A matching table approach was applied, where: Parameters were classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The evaluation emphasizes biomass production potential and resilience to harsh conditions, which are critical for grazing systems. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_sheep_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 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EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Juba Shabelle River Floods - Gu 2024 This data was produced through visual interpretation of Sentinel 2 and Airbus images.\r\nThe Flood Extent may be smaller than the actual due to cloud cover on analysis images that hindered assessment in some areas and limitations of radar to detect flooding within urban areas 42.04390694745172 -0.168093853251503 45.719604176212506 5.010350753189595 geonode:som_juba_shabelle_floods_gu_2024 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 642 11 995 1024 1263 1284 12 1990 2049 2526 2568 13 3981 4099 5052 5136 14 7963 8199 10105 10272 15 15927 16399 20210 20545 16 31854 32798 40421 41090 17 63709 65597 80843 82181 18 127418 131194 161687 164363 19 254837 262388 323374 328727 20 509675 524777 646749 657455 21 1019351 1049555 1293499 1314911 22 2038702 2099110 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EPSG:4326:13 3867 4103 10105 10272 EPSG:4326:14 7735 8207 20210 20545 EPSG:4326:15 15471 16414 40421 41090 EPSG:4326:16 30943 32829 80843 82181 EPSG:4326:17 61887 65658 161687 164363 EPSG:4326:18 123775 131316 323374 328727 EPSG:4326:19 247550 262633 646749 657455 EPSG:4326:20 495100 525267 1293499 1314911 EPSG:4326:21 990201 1050534 2586999 2629823 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 642 EPSG:900913x2:11 995 1024 1263 1284 EPSG:900913x2:12 1990 2049 2526 2568 EPSG:900913x2:13 3981 4099 5052 5136 EPSG:900913x2:14 7963 8199 10105 10272 EPSG:900913x2:15 15927 16399 20210 20545 EPSG:900913x2:16 31854 32798 40421 41090 EPSG:900913x2:17 63709 65597 80843 82181 EPSG:900913x2:18 127418 131194 161687 164363 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64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 642 EPSG:4326x2:10 483 512 1263 1284 EPSG:4326x2:11 966 1025 2526 2568 EPSG:4326x2:12 1933 2051 5052 5136 EPSG:4326x2:13 3867 4103 10105 10272 EPSG:4326x2:14 7735 8207 20210 20545 EPSG:4326x2:15 15471 16414 40421 41090 EPSG:4326x2:16 30943 32829 80843 82181 EPSG:4326x2:17 61887 65658 161687 164363 EPSG:4326x2:18 123775 131316 323374 328727 EPSG:4326x2:19 247550 262633 646749 657455 EPSG:4326x2:20 495100 525267 1293499 1314911 EPSG:4326x2:21 990201 1050534 2586999 2629823 Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2019 Breakages identified in the map have been classified into six different categories; Open, Overflow, Potential Overflows, Potential breakages, Closed with sandbags and Closed. A total of 84 Open points were identified, 39 on the Shabelle River and 45 on the Juba River which require immediate action in advance of the strong possibility of normal to above normal Deyr (October-December) 2019 season rainfall. 42.06818600000008 -0.070969999999988 45.678670000000125 4.864156999999977 geonode:shabelle_juba_river_breakages_aug2019 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15940 16390 20213 20541 16 31881 32780 40426 41083 17 63762 65561 80852 82167 18 127525 131123 161705 164334 19 255051 262247 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EPSG:900913:18 127525 131123 161705 164334 EPSG:900913:19 255051 262247 323410 328668 EPSG:900913:20 510103 524494 646820 657336 EPSG:900913:21 1020206 1048989 1293640 1314673 EPSG:900913:22 2040412 2097978 2587281 2629347 EPSG:900913:23 4080824 4195957 5174563 5258694 EPSG:900913:24 8161649 8391915 10349127 10517388 EPSG:900913:25 16323298 16783830 20698255 21034776 EPSG:900913:26 32646596 33567661 41396510 42069553 EPSG:900913:27 65293192 67135323 82793020 84139106 EPSG:900913:28 130586385 134270647 165586041 168278213 EPSG:900913:29 261172770 268541294 331172082 336556426 EPSG:900913:30 522345540 537082588 662344164 673112852 Somalia Harbors The source of this data is United Nations Support Office in Somalia (UNSOS) 42.54626100000007 -0.360289999999964 49.81773000000004 11.283660000000054 geonode:harbors_unsos other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain 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263193 648212 669392 EPSG:4326x2:20 458555 526386 1296425 1338785 EPSG:4326x2:21 917111 1052773 2592851 2677570 Forest Suitability in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species in selected areas in southern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.15003254800007 5.060045358000025 geonode:som_land_forestsuitability_s_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 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EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Forest Suitability of AzardirachtaIndica in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Azardirachta Indica in selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_forestsuitability_azardirachtaindica other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 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1804 1839 5074 5107 EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299132 1307586 EPSG:900913x2:22 1971878 1989895 2598265 2615173 EPSG:900913x2:23 3943757 3979791 5196531 5230346 EPSG:900913x2:24 7887514 7959583 10393062 10460692 EPSG:900913x2:25 15775028 15919166 20786124 20921384 EPSG:900913x2:26 31550056 31838333 41572249 41842768 EPSG:900913x2:27 63100112 63676667 83144499 83685537 EPSG:900913x2:28 126200224 127353334 166288999 167371075 EPSG:900913x2:29 252400449 254706669 332577999 334742151 EPSG:900913x2:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 North East Somalia Land Cover Prosopis Points 2017 FAOSWALIM GPS Points for Prosopis Tree collected from Somaliland.FAO SWALIM has been mapping and studying the spread of Prosopis in Somalia. More recently, a survey was carried in Januray 2017 together with the Somaliland Ministry of Environment and Rural Development to map out the extent of the spread of Proposis in Somaliland. Five areas of interest were selected covering the main landform units of Somaliland that include flat lying areas, plateaus, hills, mountain ranges and coastal areas. The climate of these landscapes vary from desert (annual rainfall of 100mm and temperature of 28-35 oC) in the coastal areas to semi humid (annual rainfall of 500 - 600 mm annual rainfall and temperature of 20-22 °C) in the mountain ranges.\r\nThe survey observed that despite the extremely dry condition; Prosopis plants were exceptionally green and resistant to drought and were often flowering and with pods in most of the areas. Prosopis was found growing as trees or shrubs and also forms pure stand of forest thickets in the invaded rangelands and cropland. It was also scattered as shrubs in stony or gravelly surfaces inter growing with cactus. In the wetter alluvial deposits flanking the watercourses in the northern escarpment of the Golis Mountain, it was found to form very dense impenetrable thickets. 43.19238888900003 9.364388889000054 45.76041666700007 10.432416667000041 geonode:som_landcover_prosopispoints_ne_faoswalim2017 other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 30 30 39 40 7 60 60 79 80 8 120 121 158 160 9 241 242 317 321 10 482 485 634 642 11 964 970 1269 1284 12 1928 1940 2539 2568 13 3857 3881 5078 5137 14 7714 7763 10157 10274 15 15429 15527 20315 20549 16 30858 31055 40630 41098 17 61716 62111 81261 82196 18 123433 124222 162523 164393 19 246866 248444 325047 328787 20 493732 496889 650094 657574 21 987464 993779 1300189 1315149 22 1974928 1987559 2600379 2630299 23 3949856 3975119 5200759 5260598 24 7899713 7950239 10401519 10521197 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 30 30 39 40 7 60 60 79 80 8 120 121 158 160 9 241 242 317 321 10 482 485 634 642 11 964 970 1269 1284 12 1928 1940 2539 2568 13 3857 3881 5078 5137 14 7714 7763 10157 10274 15 15429 15527 20315 20549 16 30858 31055 40630 41098 17 61716 62111 81261 82196 18 123433 124222 162523 164393 19 246866 248444 325047 328787 20 493732 496889 650094 657574 21 987464 993779 1300189 1315149 22 1974928 1987559 2600379 2630299 23 3949856 3975119 5200759 5260598 24 7899713 7950239 10401519 10521197 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 14 14 39 40 EPSG:4326:6 28 28 79 80 EPSG:4326:7 56 57 158 160 EPSG:4326:8 113 114 317 321 EPSG:4326:9 226 229 634 642 EPSG:4326:10 452 458 1269 1284 EPSG:4326:11 905 917 2539 2568 EPSG:4326:12 1810 1834 5078 5137 EPSG:4326:13 3621 3669 10157 10274 EPSG:4326:14 7242 7339 20315 20549 EPSG:4326:15 14484 14679 40630 41098 EPSG:4326:16 28969 29358 81261 82196 EPSG:4326:17 57939 58717 162523 164393 EPSG:4326:18 115878 117434 325047 328787 EPSG:4326:19 231757 234868 650094 657574 EPSG:4326:20 463514 469736 1300189 1315149 EPSG:4326:21 927029 939472 2600379 2630299 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 30 30 39 40 EPSG:900913x2:7 60 60 79 80 EPSG:900913x2:8 120 121 158 160 EPSG:900913x2:9 241 242 317 321 EPSG:900913x2:10 482 485 634 642 EPSG:900913x2:11 964 970 1269 1284 EPSG:900913x2:12 1928 1940 2539 2568 EPSG:900913x2:13 3857 3881 5078 5137 EPSG:900913x2:14 7714 7763 10157 10274 EPSG:900913x2:15 15429 15527 20315 20549 EPSG:900913x2:16 30858 31055 40630 41098 EPSG:900913x2:17 61716 62111 81261 82196 EPSG:900913x2:18 123433 124222 162523 164393 EPSG:900913x2:19 246866 248444 325047 328787 EPSG:900913x2:20 493732 496889 650094 657574 EPSG:900913x2:21 987464 993779 1300189 1315149 EPSG:900913x2:22 1974928 1987559 2600379 2630299 EPSG:900913x2:23 3949856 3975119 5200759 5260598 EPSG:900913x2:24 7899713 7950239 10401519 10521197 EPSG:900913x2:25 15799426 15900479 20803038 21042395 EPSG:900913x2:26 31598852 31800959 41606076 42084791 EPSG:900913x2:27 63197705 63601918 83212153 84169583 EPSG:900913x2:28 126395411 127203837 166424307 168339167 EPSG:900913x2:29 252790823 254407674 332848614 336678335 EPSG:900913x2:30 505581646 508815349 665697229 673356671 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 30 30 39 40 EPSG:900913:7 60 60 79 80 EPSG:900913:8 120 121 158 160 EPSG:900913:9 241 242 317 321 EPSG:900913:10 482 485 634 642 EPSG:900913:11 964 970 1269 1284 EPSG:900913:12 1928 1940 2539 2568 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EPSG:4326x2:7 56 57 158 160 EPSG:4326x2:8 113 114 317 321 EPSG:4326x2:9 226 229 634 642 EPSG:4326x2:10 452 458 1269 1284 EPSG:4326x2:11 905 917 2539 2568 EPSG:4326x2:12 1810 1834 5078 5137 EPSG:4326x2:13 3621 3669 10157 10274 EPSG:4326x2:14 7242 7339 20315 20549 EPSG:4326x2:15 14484 14679 40630 41098 EPSG:4326x2:16 28969 29358 81261 82196 EPSG:4326x2:17 57939 58717 162523 164393 EPSG:4326x2:18 115878 117434 325047 328787 EPSG:4326x2:19 231757 234868 650094 657574 EPSG:4326x2:20 463514 469736 1300189 1315149 EPSG:4326x2:21 927029 939472 2600379 2630299 River Juba and Shabelle (line) The Shuttle Radar Topography Mission (SRTM) obtained 90-meter (3 arc-second) resolution data on a near-global scale (between 56 degrees South and 60 degrees North latitude) and 30 meter (1 arc-second) resolution over United States, providing a valuable global topographic dataset. 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4101 5054 5135 EPSG:900913:14 7966 8203 10109 10270 EPSG:900913:15 15932 16406 20218 20541 EPSG:900913:16 31865 32813 40436 41083 EPSG:900913:17 63730 65627 80872 82166 EPSG:900913:18 127460 131254 161744 164333 EPSG:900913:19 254921 262509 323488 328667 EPSG:900913:20 509842 525019 646977 657335 EPSG:900913:21 1019685 1050038 1293955 1314671 EPSG:900913:22 2039370 2100077 2587910 2629342 EPSG:900913:23 4078741 4200155 5175820 5258684 EPSG:900913:24 8157483 8400310 10351641 10517368 EPSG:900913:25 16314967 16800621 20703283 21034736 EPSG:900913:26 32629935 33601243 41406567 42069472 EPSG:900913:27 65259870 67202486 82813134 84138945 EPSG:900913:28 130519740 134404973 165626268 168277890 EPSG:900913:29 261039480 268809947 331252536 336555781 EPSG:900913:30 522078960 537619895 662505073 673111563 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 320 EPSG:4326x2:9 241 256 631 641 EPSG:4326x2:10 483 513 1263 1283 EPSG:4326x2:11 967 1026 2527 2567 EPSG:4326x2:12 1935 2053 5054 5135 EPSG:4326x2:13 3870 4107 10109 10270 EPSG:4326x2:14 7741 8214 20218 20541 EPSG:4326x2:15 15482 16429 40436 41083 EPSG:4326x2:16 30964 32859 80872 82166 EPSG:4326x2:17 61929 65718 161744 164333 EPSG:4326x2:18 123858 131437 323488 328667 EPSG:4326x2:19 247716 262875 646977 657335 EPSG:4326x2:20 495433 525750 1293955 1314671 EPSG:4326x2:21 990866 1051501 2587910 2629342 Agri-Suitability of Sugarcane in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Sugarcane in selected areas in southern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_land_agrisuitability_sugarcane_s_faoswali other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 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EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Juba Shabelle River Floods - Gu 2016 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 26th May 2016 -13th June 2016 42.05294953470028 -0.151985149430632 45.72571732483375 5.010727509187627 geonode:som_juba_shabelle_river_floods_gu_2016 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain 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262586 646776 657473 EPSG:4326x2:20 495098 525173 1293552 1314947 EPSG:4326x2:21 990196 1050346 2587104 2629895 Jowhar District Suitable Potential Higher Grounds for Evacuation During Floods Datasets used for the analysis are :- Flood Extent, Elevation, Slope, Topographic Wetness Index (TWI),Drainage Density, Strategic Boreholes, Settlements, Land Cover and Roads\r\nBased on a predefined criteria, each of these datasets were first clipped to areas outside the flood extent but within a maximum distance of 10 Km from the flood extent boundary. The outputs were then reclassified into two classes namely; Suitable and Not Suitable. Using an iterative approach, each of these datasets was used to assign a weight to the suitability of a site. These weights are indicated on table 2 below. Thereafter, a multi-criteria evaluation weighted overlay operation was undertaken to determine the potential areas for evacuation sites. An area was then computed for the potential sites and their distance from the flood extent established. \r\nThe output was then post – processed to remove invalid geometries and each site was ranked based on the distance from the flood prone area. Sites that are closer in distance were deemed to be most suitable hence a higher rank. The final layer was then visually checked based on the density of the topographic Wetness Index (TWI) which is based on runoffs during floods. Areas with dense TWI were eliminated to remain with only continuous areas. 45.129924716631606 2.735755014094051 45.93873155424707 3.238304687052858 geonode:jowhar_potential_suitable_higher_grounds_for_ other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 502 504 640 642 11 1005 1008 1280 1285 12 2011 2016 2561 2570 13 4022 4033 5122 5141 14 8044 8067 10245 10282 15 16089 16134 20491 20565 16 32178 32269 40983 41130 17 64356 64539 81967 82261 18 128712 129079 163934 164523 19 257425 258158 327869 329047 20 514850 516316 655738 658094 21 1029701 1032633 1311476 1316188 22 2059402 2065266 2622953 2632377 23 4118805 4130532 5245907 5264754 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EPSG:900913:15 16089 16134 20491 20565 EPSG:900913:16 32178 32269 40983 41130 EPSG:900913:17 64356 64539 81967 82261 EPSG:900913:18 128712 129079 163934 164523 EPSG:900913:19 257425 258158 327869 329047 EPSG:900913:20 514850 516316 655738 658094 EPSG:900913:21 1029701 1032633 1311476 1316188 EPSG:900913:22 2059402 2065266 2622953 2632377 EPSG:900913:23 4118805 4130532 5245907 5264754 EPSG:900913:24 8237611 8261064 10491814 10529508 EPSG:900913:25 16475223 16522128 20983629 21059016 EPSG:900913:26 32950446 33044256 41967259 42118032 EPSG:900913:27 65900893 66088512 83934519 84236064 EPSG:900913:28 131801786 132177025 167869038 168472128 EPSG:900913:29 263603572 264354051 335738077 336944257 EPSG:900913:30 527207145 528708102 671476155 673888515 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 246 248 640 642 EPSG:4326x2:10 493 496 1280 1285 EPSG:4326x2:11 987 992 2561 2570 EPSG:4326x2:12 1974 1985 5122 5141 EPSG:4326x2:13 3948 3971 10245 10282 EPSG:4326x2:14 7897 7942 20491 20565 EPSG:4326x2:15 15794 15885 40983 41130 EPSG:4326x2:16 31588 31771 81967 82261 EPSG:4326x2:17 63177 63543 163934 164523 EPSG:4326x2:18 126355 127087 327869 329047 EPSG:4326x2:19 252711 254175 655738 658094 EPSG:4326x2:20 505423 508351 1311476 1316188 EPSG:4326x2:21 1010847 1016702 2622953 2632377 Growing Periods of Crops in Somalia Somalia Crops Growing Length Periods based on the two rainy seasons in Somalia GU and Deyr. 40.98994827100006 -1.649199515999953 51.41412734900007 11.985942840000064 geonode:growing_period_length other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json 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690219520 Juba Shabelle River Floods - Gu 2015 This data was produced through visual interpretation of Landsat 8 satellite images acquired between 8th April 2015– 26th May 2015 42.08992861188421 -0.231107933672496 45.62557907256923 4.668334960946742 geonode:som_juba_shabelle_river_floods_gu_2015 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 997 1025 1263 1283 12 1994 2050 2526 2567 13 3989 4101 5053 5134 14 7979 8202 10107 10268 15 15958 16405 20215 20536 16 31917 32810 40430 41073 17 63834 65620 80860 82147 18 127668 131240 161720 164295 19 255337 262480 323441 328591 20 510675 524961 646883 657182 21 1021350 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30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 121 128 315 320 EPSG:4326x2:9 242 256 631 641 EPSG:4326x2:10 485 513 1263 1283 EPSG:4326x2:11 970 1026 2526 2567 EPSG:4326x2:12 1941 2053 5053 5134 EPSG:4326x2:13 3883 4106 10107 10268 EPSG:4326x2:14 7767 8213 20215 20536 EPSG:4326x2:15 15534 16426 40430 41073 EPSG:4326x2:16 31068 32852 80860 82147 EPSG:4326x2:17 62136 65704 161720 164295 EPSG:4326x2:18 124273 131408 323441 328591 EPSG:4326x2:19 248546 262817 646883 657182 EPSG:4326x2:20 497092 525634 1293767 1314364 EPSG:4326x2:21 994185 1051268 2587535 2628728 Juba Shabelle River Floods - Gu 2021 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 1st May - 31st August 2021.Additionally, we complemented the data with Kompsat 5 satellite images images for the month of May 2021 42.68606331186561 0.105532956640212 45.67063194132099 4.808526984004745 geonode:som_juba_shabelle_river_floods_gu_2021a28bfef41306 other other other other 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EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15284 16534 20114 21063 EPSG:900913:16 30569 33068 40229 42127 EPSG:900913:17 61138 66137 80459 84255 EPSG:900913:18 122277 132275 160919 168510 EPSG:900913:19 244555 264551 321839 337021 EPSG:900913:20 489110 529102 643678 674042 EPSG:900913:21 978221 1058205 1287357 1348084 EPSG:900913:22 1956443 2116410 2574714 2696169 EPSG:900913:23 3912887 4232821 5149428 5392339 EPSG:900913:24 7825774 8465643 10298857 10784679 EPSG:900913:25 15651548 16931287 20597715 21569359 EPSG:900913:26 31303097 33862575 41195430 43138719 EPSG:900913:27 62606194 67725150 82390860 86277439 EPSG:900913:28 125212388 135450301 164781720 172554879 EPSG:900913:29 250424777 270900602 329563440 345109759 EPSG:900913:30 500849554 541801204 659126880 690219518 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8342 20114 21063 EPSG:4326x2:15 14201 16684 40229 42127 EPSG:4326x2:16 28403 33369 80459 84255 EPSG:4326x2:17 56806 66739 160919 168510 EPSG:4326x2:18 113612 133479 321839 337021 EPSG:4326x2:19 227224 266958 643678 674042 EPSG:4326x2:20 454449 533916 1287357 1348084 EPSG:4326x2:21 908898 1067832 2574714 2696169 Juba Shabelle River Floods - Gu 2019 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 3rd May 2019 to 14th June 2019. 42.232472919532825 -0.071370646999924 45.60881497473275 4.976355666613642 geonode:som_juba_shabelle_river_floods_gu_2019 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 79 80 8 124 128 158 160 9 248 256 316 320 10 497 512 632 641 11 995 1024 1264 1283 12 1991 2048 2528 2566 13 3982 4097 5057 5133 14 7965 8195 10114 10267 15 15930 16390 20228 20535 16 31860 32780 40456 41070 17 63721 65561 80912 82141 18 127443 131123 161824 164283 19 254887 262247 323649 328566 20 509775 524495 647298 657133 21 1019550 1048991 1294597 1314266 22 2039100 2097983 2589195 2628533 23 4078200 4195967 5178391 5257066 24 8156400 8391934 10356783 10514132 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EPSG:900913x2:21 1019550 1048991 1294597 1314266 EPSG:900913x2:22 2039100 2097983 2589195 2628533 EPSG:900913x2:23 4078200 4195967 5178391 5257066 EPSG:900913x2:24 8156400 8391934 10356783 10514132 EPSG:900913x2:25 16312801 16783868 20713567 21028265 EPSG:900913x2:26 32625603 33567736 41427135 42056531 EPSG:900913x2:27 65251207 67135472 82854271 84113062 EPSG:900913x2:28 130502414 134270945 165708542 168226125 EPSG:900913x2:29 261004828 268541891 331417084 336452250 EPSG:900913x2:30 522009656 537083783 662834168 672904501 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 79 80 EPSG:4326x2:7 60 64 158 160 EPSG:4326x2:8 120 128 316 320 EPSG:4326x2:9 241 256 632 641 EPSG:4326x2:10 483 512 1264 1283 EPSG:4326x2:11 967 1024 2528 2566 EPSG:4326x2:12 1934 2049 5057 5133 EPSG:4326x2:13 3869 4099 10114 10267 EPSG:4326x2:14 7739 8198 20228 20535 EPSG:4326x2:15 15478 16396 40456 41070 EPSG:4326x2:16 30956 32793 80912 82141 EPSG:4326x2:17 61912 65587 161824 164283 EPSG:4326x2:18 123824 131175 323649 328566 EPSG:4326x2:19 247649 262351 647298 657133 EPSG:4326x2:20 495298 524703 1294597 1314266 EPSG:4326x2:21 990597 1049407 2589195 2628533 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 79 80 EPSG:900913:8 124 128 158 160 EPSG:900913:9 248 256 316 320 EPSG:900913:10 497 512 632 641 EPSG:900913:11 995 1024 1264 1283 EPSG:900913:12 1991 2048 2528 2566 EPSG:900913:13 3982 4097 5057 5133 EPSG:900913:14 7965 8195 10114 10267 EPSG:900913:15 15930 16390 20228 20535 EPSG:900913:16 31860 32780 40456 41070 EPSG:900913:17 63721 65561 80912 82141 EPSG:900913:18 127443 131123 161824 164283 EPSG:900913:19 254887 262247 323649 328566 EPSG:900913:20 509775 524495 647298 657133 EPSG:900913:21 1019550 1048991 1294597 1314266 EPSG:900913:22 2039100 2097983 2589195 2628533 EPSG:900913:23 4078200 4195967 5178391 5257066 EPSG:900913:24 8156400 8391934 10356783 10514132 EPSG:900913:25 16312801 16783868 20713567 21028265 EPSG:900913:26 32625603 33567736 41427135 42056531 EPSG:900913:27 65251207 67135472 82854271 84113062 EPSG:900913:28 130502414 134270945 165708542 168226125 EPSG:900913:29 261004828 268541891 331417084 336452250 EPSG:900913:30 522009656 537083783 662834168 672904501 Sesame Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_sesame_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 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Shabelle Rivers - Issued October 2023 FAO-SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Four types of breakages have been identified, namely; Open, Overflow, Canal Flooding Point, and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. 196 Open breakage points have been identified, 170 on the Shabelle River and 26 on the Juba River which require immediate action. 168 Overflows were also identified during this season. 42.0680900803 -0.0709700000654 45.67867 4.89294 geonode:river_juba_shabelle_breakage_september_2023 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 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40426 41083 EPSG:900913:17 63752 65561 80852 82167 EPSG:900913:18 127504 131123 161705 164334 EPSG:900913:19 255009 262247 323410 328668 EPSG:900913:20 510018 524494 646820 657336 EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587280 2629347 EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Juba Shabelle River Floods - Deyr 2013 This data was produced through visual interpretation of Landsat 8 satellite images acquired between 25th September 2013 – 28th November 2013 42.08809447589613 -0.078708971304422 45.69037808363544 4.18193544803546 geonode:som_juba_shabelle_river_floods_deyr_2013 other other 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40429 41085 EPSG:4326x2:16 31245 32796 80859 82171 EPSG:4326x2:17 62490 65593 161719 164342 EPSG:4326x2:18 124981 131186 323439 328685 EPSG:4326x2:19 249963 262373 646878 657370 EPSG:4326x2:20 499926 524746 1293756 1314741 EPSG:4326x2:21 999852 1049493 2587513 2629483 Rice Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_rice_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 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EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 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EPSG:900913:27 65239536 65392557 83887045 83992783 EPSG:900913:28 130479073 130785115 167774091 167985567 EPSG:900913:29 260958147 261570231 335548183 335971134 EPSG:900913:30 521916294 523140462 671096367 671942269 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 30 80 80 EPSG:4326x2:7 60 60 160 160 EPSG:4326x2:8 120 121 320 320 EPSG:4326x2:9 241 242 640 640 EPSG:4326x2:10 483 485 1280 1281 EPSG:4326x2:11 967 971 2560 2563 EPSG:4326x2:12 1934 1943 5120 5126 EPSG:4326x2:13 3868 3886 10240 10253 EPSG:4326x2:14 7736 7773 20480 20506 EPSG:4326x2:15 15472 15546 40960 41012 EPSG:4326x2:16 30944 31093 81920 82024 EPSG:4326x2:17 61889 62187 163841 164048 EPSG:4326x2:18 123779 124374 327683 328096 EPSG:4326x2:19 247558 248749 655367 656193 EPSG:4326x2:20 495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Soil - North Western Somaliland (1:50_000) This dataset is about a detailed soil map at a scale of 1:50,000 for north western part of Somaliland in Somalia. 43.01101303100006 9.166513443000042 44.46210479700005 10.12070465100004 geonode:soil_50k_n_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 241 242 317 319 10 483 485 634 638 11 966 971 1268 1276 12 1932 1943 2537 2553 13 3864 3886 5074 5107 14 7728 7773 10149 10215 15 15457 15546 20298 20431 16 30915 31092 40597 40862 17 61831 62184 81195 81724 18 123663 124368 162391 163448 19 247327 248736 324783 326896 20 494654 497473 649566 653793 21 989309 994947 1299133 1307586 22 1978619 1989895 2598266 2615173 23 3957238 3979791 5196533 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14541 14715 40597 40862 EPSG:4326x2:16 29083 29430 81195 81724 EPSG:4326x2:17 58166 58861 162391 163448 EPSG:4326x2:18 116332 117722 324783 326896 EPSG:4326x2:19 232665 235444 649566 653793 EPSG:4326x2:20 465330 470889 1299133 1307586 EPSG:4326x2:21 930661 941778 2598266 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 241 242 317 319 EPSG:900913:10 483 485 634 638 EPSG:900913:11 966 971 1268 1276 EPSG:900913:12 1932 1943 2537 2553 EPSG:900913:13 3864 3886 5074 5107 EPSG:900913:14 7728 7773 10149 10215 EPSG:900913:15 15457 15546 20298 20431 EPSG:900913:16 30915 31092 40597 40862 EPSG:900913:17 61831 62184 81195 81724 EPSG:900913:18 123663 124368 162391 163448 EPSG:900913:19 247327 248736 324783 326896 EPSG:900913:20 494654 497473 649566 653793 EPSG:900913:21 989309 994947 1299133 1307586 EPSG:900913:22 1978619 1989895 2598266 2615173 EPSG:900913:23 3957238 3979791 5196533 5230346 EPSG:900913:24 7914476 7959583 10393066 10460692 EPSG:900913:25 15828953 15919166 20786132 20921384 EPSG:900913:26 31657907 31838333 41572265 41842769 EPSG:900913:27 63315815 63676667 83144531 83685538 EPSG:900913:28 126631630 127353334 166289063 167371076 EPSG:900913:29 253263261 254706668 332578127 334742152 EPSG:900913:30 506526522 509413337 665156255 669484305 Juba Shabelle River Floods - Deyr 2019 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 10th October 2019 to 16th November 2019. 42.08899112364861 -0.08877573613637 45.71781748826976 5.01130942700081 geonode:som_juba_shabelle_river_floods_deyr_2019 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 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16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 642 EPSG:900913:11 995 1024 1263 1284 EPSG:900913:12 1990 2049 2526 2568 EPSG:900913:13 3981 4098 5053 5136 EPSG:900913:14 7963 8196 10107 10272 EPSG:900913:15 15927 16392 20215 20545 EPSG:900913:16 31854 32784 40430 41090 EPSG:900913:17 63709 65568 80860 82181 EPSG:900913:18 127418 131136 161720 164362 EPSG:900913:19 254836 262273 323440 328725 EPSG:900913:20 509672 524546 646881 657450 EPSG:900913:21 1019345 1049093 1293762 1314901 EPSG:900913:22 2038691 2098186 2587524 2629803 EPSG:900913:23 4077382 4196372 5175048 5259606 EPSG:900913:24 8154765 8392745 10350097 10519212 EPSG:900913:25 16309531 16785490 20700194 21038425 EPSG:900913:26 32619062 33570981 41400388 42076850 EPSG:900913:27 65238125 67141962 82800777 84153701 EPSG:900913:28 130476251 134283924 165601554 168307403 EPSG:900913:29 260952502 268567848 331203108 336614807 EPSG:900913:30 521905005 537135696 662406217 673229614 Strategic Water Sources - September 2020 The dataset contains the most common water source types in Somalia classified into five categories namely: boreholes, shallow wells, dams, springs and berkads. Other source types which do not fit in any of these five categories are classified as “Other” The data is periodically updated from field surveys carried out by FAO/SWALIM through government and NGO partners, or received from WASH Cluster partners.Modern technology has been adopted for field data collection, using mobile phones, building on the conventional paper based questionnaire first developed and adopted by WASH partners in Somalia back in 2006 41.0187 -0.3669 51.2829 11.9533 geonode:strategic_water_sources_all_sept2020 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 314 328 10 477 513 628 657 11 955 1026 1257 1315 12 1911 2052 2514 2631 13 3822 4104 5029 5262 14 7644 8208 10058 10525 15 15288 16417 20117 21051 16 30576 32834 40235 42103 17 61152 65669 80470 84207 18 122304 131339 160940 168415 19 244608 262678 321881 336830 20 489216 525356 643763 673660 21 978432 1050713 1287527 1347320 22 1956864 2101426 2575054 2694641 23 3913729 4202853 5150108 5389282 24 7827458 8405706 10300217 10778564 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 314 328 10 477 513 628 657 11 955 1026 1257 1315 12 1911 2052 2514 2631 13 3822 4104 5029 5262 14 7644 8208 10058 10525 15 15288 16417 20117 21051 16 30576 32834 40235 42103 17 61152 65669 80470 84207 18 122304 131339 160940 168415 19 244608 262678 321881 336830 20 489216 525356 643763 673660 21 978432 1050713 1287527 1347320 22 1956864 2101426 2575054 2694641 23 3913729 4202853 5150108 5389282 24 7827458 8405706 10300217 10778564 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 64 157 164 EPSG:4326:8 110 128 314 328 EPSG:4326:9 221 257 628 657 EPSG:4326:10 443 514 1257 1315 EPSG:4326:11 887 1028 2514 2631 EPSG:4326:12 1775 2056 5029 5262 EPSG:4326:13 3551 4112 10058 10525 EPSG:4326:14 7103 8225 20117 21051 EPSG:4326:15 14207 16450 40235 42103 EPSG:4326:16 28415 32901 80470 84207 EPSG:4326:17 56831 65803 160940 168415 EPSG:4326:18 113663 131606 321881 336830 EPSG:4326:19 227327 263212 643763 673660 EPSG:4326:20 454654 526425 1287527 1347320 EPSG:4326:21 909309 1052850 2575054 2694641 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 128 157 164 EPSG:900913x2:9 238 256 314 328 EPSG:900913x2:10 477 513 628 657 EPSG:900913x2:11 955 1026 1257 1315 EPSG:900913x2:12 1911 2052 2514 2631 EPSG:900913x2:13 3822 4104 5029 5262 EPSG:900913x2:14 7644 8208 10058 10525 EPSG:900913x2:15 15288 16417 20117 21051 EPSG:900913x2:16 30576 32834 40235 42103 EPSG:900913x2:17 61152 65669 80470 84207 EPSG:900913x2:18 122304 131339 160940 168415 EPSG:900913x2:19 244608 262678 321881 336830 EPSG:900913x2:20 489216 525356 643763 673660 EPSG:900913x2:21 978432 1050713 1287527 1347320 EPSG:900913x2:22 1956864 2101426 2575054 2694641 EPSG:900913x2:23 3913729 4202853 5150108 5389282 EPSG:900913x2:24 7827458 8405706 10300217 10778564 EPSG:900913x2:25 15654916 16811413 20600435 21557128 EPSG:900913x2:26 31309833 33622827 41200871 43114257 EPSG:900913x2:27 62619666 67245655 82401743 86228514 EPSG:900913x2:28 125239333 134491310 164803487 172457029 EPSG:900913x2:29 250478667 268982620 329606975 344914059 EPSG:900913x2:30 500957334 537965241 659213950 689828119 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 256 314 328 EPSG:900913:10 477 513 628 657 EPSG:900913:11 955 1026 1257 1315 EPSG:900913:12 1911 2052 2514 2631 EPSG:900913:13 3822 4104 5029 5262 EPSG:900913:14 7644 8208 10058 10525 EPSG:900913:15 15288 16417 20117 21051 EPSG:900913:16 30576 32834 40235 42103 EPSG:900913:17 61152 65669 80470 84207 EPSG:900913:18 122304 131339 160940 168415 EPSG:900913:19 244608 262678 321881 336830 EPSG:900913:20 489216 525356 643763 673660 EPSG:900913:21 978432 1050713 1287527 1347320 EPSG:900913:22 1956864 2101426 2575054 2694641 EPSG:900913:23 3913729 4202853 5150108 5389282 EPSG:900913:24 7827458 8405706 10300217 10778564 EPSG:900913:25 15654916 16811413 20600435 21557128 EPSG:900913:26 31309833 33622827 41200871 43114257 EPSG:900913:27 62619666 67245655 82401743 86228514 EPSG:900913:28 125239333 134491310 164803487 172457029 EPSG:900913:29 250478667 268982620 329606975 344914059 EPSG:900913:30 500957334 537965241 659213950 689828119 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 128 314 328 EPSG:4326x2:9 221 257 628 657 EPSG:4326x2:10 443 514 1257 1315 EPSG:4326x2:11 887 1028 2514 2631 EPSG:4326x2:12 1775 2056 5029 5262 EPSG:4326x2:13 3551 4112 10058 10525 EPSG:4326x2:14 7103 8225 20117 21051 EPSG:4326x2:15 14207 16450 40235 42103 EPSG:4326x2:16 28415 32901 80470 84207 EPSG:4326x2:17 56831 65803 160940 168415 EPSG:4326x2:18 113663 131606 321881 336830 EPSG:4326x2:19 227327 263212 643763 673660 EPSG:4326x2:20 454654 526425 1287527 1347320 EPSG:4326x2:21 909309 1052850 2575054 2694641 Status of River Breakages along Juba and Shabelle Rivers - Issued August 2022 Four consecutive poor rainy seasons in most parts of the Horn of Africa region have resulted to current serious hydrological drought conditions in Somalia and neighboring countries.. Juba and Shabelle Rivers, with the headwaters in the Ethiopian highlands have remained below the long term average since the beginning of 2022, negatively impacting agriculture production, domestic and livestock water use for the riverine communities. The low river levels however provide an opportunity to fix the river breakages and weak embankments, ahead of the next rainy season. SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM).Five types of breakages have been identified, namely; open, overflow, potential overflows, potential breakages and closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. 100 Open breakage points have been identified, 70 on the Shabelle River and 30 on the Juba River which require immediate action. 13 Overflows were also identified during this season. Jowhar district was worst affected along the Shabelle while Bu’aale and Jilib districts are worst affected along the Juba.\r\n\r\nUsers are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available. 42.06809008 -0.07097 45.6786699999998 4.89294 geonode:swalim_river_breakages_august_2022 other other other other other other text/xml application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 2629347 23 4080151 4195957 5174561 5258694 24 8160302 8391915 10349123 10517388 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 2629347 23 4080151 4195957 5174561 5258694 24 8160302 8391915 10349123 10517388 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 121 128 315 320 EPSG:4326:9 242 256 631 641 EPSG:4326:10 484 512 1263 1283 EPSG:4326:11 968 1024 2526 2567 EPSG:4326:12 1936 2049 5053 5135 EPSG:4326:13 3873 4099 10106 10270 EPSG:4326:14 7746 8198 20213 20541 EPSG:4326:15 15493 16396 40426 41083 EPSG:4326:16 30986 32793 80852 82167 EPSG:4326:17 61973 65587 161705 164334 EPSG:4326:18 123946 131175 323410 328668 EPSG:4326:19 247892 262350 646820 657336 EPSG:4326:20 495784 524701 1293640 1314673 EPSG:4326:21 991569 1049402 2587280 2629347 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 249 256 315 320 EPSG:900913x2:10 498 512 631 641 EPSG:900913x2:11 996 1024 1263 1283 EPSG:900913x2:12 1992 2048 2526 2567 EPSG:900913x2:13 3984 4097 5053 5135 EPSG:900913x2:14 7969 8195 10106 10270 EPSG:900913x2:15 15938 16390 20213 20541 EPSG:900913x2:16 31876 32780 40426 41083 EPSG:900913x2:17 63752 65561 80852 82167 EPSG:900913x2:18 127504 131123 161705 164334 EPSG:900913x2:19 255009 262247 323410 328668 EPSG:900913x2:20 510018 524494 646820 657336 EPSG:900913x2:21 1020037 1048989 1293640 1314673 EPSG:900913x2:22 2040075 2097978 2587280 2629347 EPSG:900913x2:23 4080151 4195957 5174561 5258694 EPSG:900913x2:24 8160302 8391915 10349123 10517388 EPSG:900913x2:25 16320605 16783830 20698246 21034776 EPSG:900913x2:26 32641211 33567661 41396492 42069553 EPSG:900913x2:27 65282422 67135323 82792984 84139106 EPSG:900913x2:28 130564844 134270647 165585969 168278213 EPSG:900913x2:29 261129689 268541294 331171939 336556426 EPSG:900913x2:30 522259379 537082588 662343878 673112852 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 121 128 315 320 EPSG:4326x2:9 242 256 631 641 EPSG:4326x2:10 484 512 1263 1283 EPSG:4326x2:11 968 1024 2526 2567 EPSG:4326x2:12 1936 2049 5053 5135 EPSG:4326x2:13 3873 4099 10106 10270 EPSG:4326x2:14 7746 8198 20213 20541 EPSG:4326x2:15 15493 16396 40426 41083 EPSG:4326x2:16 30986 32793 80852 82167 EPSG:4326x2:17 61973 65587 161705 164334 EPSG:4326x2:18 123946 131175 323410 328668 EPSG:4326x2:19 247892 262350 646820 657336 EPSG:4326x2:20 495784 524701 1293640 1314673 EPSG:4326x2:21 991569 1049402 2587280 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3984 4097 5053 5135 EPSG:900913:14 7969 8195 10106 10270 EPSG:900913:15 15938 16390 20213 20541 EPSG:900913:16 31876 32780 40426 41083 EPSG:900913:17 63752 65561 80852 82167 EPSG:900913:18 127504 131123 161705 164334 EPSG:900913:19 255009 262247 323410 328668 EPSG:900913:20 510018 524494 646820 657336 EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587280 2629347 EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Mean Annual Positive Groundwater Storage Anomalies Multi-annual 2003-2024 Average groundwater anomalies were also calculated for both positive and negative anomalies. Both sets of results show the same spatial distribution pattern, with the highest and lowest anomalies values located along the Al Madow Mountain range (in the Karkaar Mountains, north) and the Jubba and Shabelle rivers lower course (south). In the former, this spatial coincidence can be explained by higher precipitation values, whereas in the latter it is attributed to a strong interaction between surface and subsurface water systems. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanannualpositivegrou other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 1061686 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82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Somalia Roads The layer contains roads data for the Horn of Africa. United Nations Support Office in Somalia (UNSOS) has collected this data from sources such as ICPAC_IGAD_UNOSAT, then UNSOS has made some updates. 34.09901703700007 -1.65470763899998 51.36650595700007 11.964393999000038 geonode:horn_of_africa_roads_unsos other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 38 41 7 59 64 76 82 8 119 129 152 164 9 238 258 304 329 10 477 516 608 658 11 955 1033 1217 1316 12 1910 2066 2435 2632 13 3821 4133 4871 5264 14 7643 8267 9743 10529 15 15286 16534 19487 21059 16 30573 33069 38975 42118 17 61147 66138 77951 84237 18 122295 132277 155902 168475 19 244591 264554 311804 336951 20 489183 529108 623608 673903 21 978366 1058216 1247217 1347807 22 1956732 2116433 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EPSG:4326:13 3551 4171 9743 10529 EPSG:4326:14 7102 8342 19487 21059 EPSG:4326:15 14205 16685 38975 42118 EPSG:4326:16 28411 33370 77951 84237 EPSG:4326:17 56823 66740 155902 168475 EPSG:4326:18 113647 133481 311804 336951 EPSG:4326:19 227295 266963 623608 673903 EPSG:4326:20 454590 533927 1247217 1347807 EPSG:4326:21 909180 1067854 2494434 2695615 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 38 41 EPSG:900913x2:7 59 64 76 82 EPSG:900913x2:8 119 129 152 164 EPSG:900913x2:9 238 258 304 329 EPSG:900913x2:10 477 516 608 658 EPSG:900913x2:11 955 1033 1217 1316 EPSG:900913x2:12 1910 2066 2435 2632 EPSG:900913x2:13 3821 4133 4871 5264 EPSG:900913x2:14 7643 8267 9743 10529 EPSG:900913x2:15 15286 16534 19487 21059 EPSG:900913x2:16 30573 33069 38975 42118 EPSG:900913x2:17 61147 66138 77951 84237 EPSG:900913x2:18 122295 132277 155902 168475 EPSG:900913x2:19 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10529 EPSG:4326x2:14 7102 8342 19487 21059 EPSG:4326x2:15 14205 16685 38975 42118 EPSG:4326x2:16 28411 33370 77951 84237 EPSG:4326x2:17 56823 66740 155902 168475 EPSG:4326x2:18 113647 133481 311804 336951 EPSG:4326x2:19 227295 266963 623608 673903 EPSG:4326x2:20 454590 533927 1247217 1347807 EPSG:4326x2:21 909180 1067854 2494434 2695615 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 38 41 EPSG:900913:7 59 64 76 82 EPSG:900913:8 119 129 152 164 EPSG:900913:9 238 258 304 329 EPSG:900913:10 477 516 608 658 EPSG:900913:11 955 1033 1217 1316 EPSG:900913:12 1910 2066 2435 2632 EPSG:900913:13 3821 4133 4871 5264 EPSG:900913:14 7643 8267 9743 10529 EPSG:900913:15 15286 16534 19487 21059 EPSG:900913:16 30573 33069 38975 42118 EPSG:900913:17 61147 66138 77951 84237 EPSG:900913:18 122295 132277 155902 168475 EPSG:900913:19 244591 264554 311804 336951 EPSG:900913:20 489183 529108 623608 673903 EPSG:900913:21 978366 1058216 1247217 1347807 EPSG:900913:22 1956732 2116433 2494434 2695615 EPSG:900913:23 3913464 4232866 4988868 5391230 EPSG:900913:24 7826929 8465733 9977737 10782460 EPSG:900913:25 15653859 16931467 19955474 21564921 EPSG:900913:26 31307719 33862934 39910949 43129842 EPSG:900913:27 62615438 67725869 79821898 86259685 EPSG:900913:28 125230877 135451738 159643797 172519370 EPSG:900913:29 250461755 270903477 319287595 345038741 EPSG:900913:30 500923511 541806955 638575191 690077483 Tomato Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_tomato_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 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EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Land Graze Suitability Sheep (Somaliland) The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Sheep) in selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland). 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:grazesuitabilitysheep_north other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 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EPSG:900913:30 530500479 530912057 671749919 672497808 Agri-Suitability of SorghumR1 in North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for SorghumR1 in selected areas in Northern part of Somalia (Garbiley and Boroma areas in Somaliland) 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_agrisuitability_sorghumr1_n_faoswali other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 4 EPSG:4326:3 3 3 9 9 EPSG:4326:4 7 7 19 19 EPSG:4326:5 14 14 39 39 EPSG:4326:6 28 28 79 79 EPSG:4326:7 56 57 158 159 EPSG:4326:8 112 114 317 319 EPSG:4326:9 225 229 634 638 EPSG:4326:10 451 459 1268 1276 EPSG:4326:11 902 919 2537 2553 EPSG:4326:12 1804 1839 5074 5107 EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299132 1307586 EPSG:900913x2:22 1971878 1989895 2598265 2615173 EPSG:900913x2:23 3943757 3979791 5196531 5230346 EPSG:900913x2:24 7887514 7959583 10393062 10460692 EPSG:900913x2:25 15775028 15919166 20786124 20921384 EPSG:900913x2:26 31550056 31838333 41572249 41842768 EPSG:900913x2:27 63100112 63676667 83144499 83685537 EPSG:900913x2:28 126200224 127353334 166288999 167371075 EPSG:900913x2:29 252400449 254706669 332577999 334742151 EPSG:900913x2:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Agri-Suitability of Maize North Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Maize in selected areas in Northern part of Somalia (Garbiley and Boroma areas in Somali land) 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_agrisuitability_maize_n_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 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7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 14 14 39 39 EPSG:4326x2:6 28 28 79 79 EPSG:4326x2:7 56 57 158 159 EPSG:4326x2:8 112 114 317 319 EPSG:4326x2:9 225 229 634 638 EPSG:4326x2:10 451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 Citrus Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_citrus_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 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2621470 2624774 23 4077471 4087034 5242940 5249548 24 8154942 8174069 10485880 10499097 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 30 80 80 EPSG:4326:7 60 60 160 160 EPSG:4326:8 120 121 320 320 EPSG:4326:9 241 242 640 640 EPSG:4326:10 483 485 1280 1281 EPSG:4326:11 967 971 2560 2563 EPSG:4326:12 1934 1943 5120 5126 EPSG:4326:13 3868 3886 10240 10253 EPSG:4326:14 7736 7773 20480 20506 EPSG:4326:15 15472 15546 40960 41012 EPSG:4326:16 30944 31093 81920 82024 EPSG:4326:17 61889 62187 163841 164048 EPSG:4326:18 123779 124374 327683 328096 EPSG:4326:19 247558 248749 655367 656193 EPSG:4326:20 495116 497499 1310735 1312387 EPSG:4326:21 990233 994999 2621470 2624774 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 62 80 80 EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 523140462 671096367 671942269 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 62 80 80 EPSG:900913:8 124 124 160 160 EPSG:900913:9 248 249 320 320 EPSG:900913:10 497 498 640 640 EPSG:900913:11 995 997 1280 1281 EPSG:900913:12 1990 1995 2560 2563 EPSG:900913:13 3981 3991 5120 5126 EPSG:900913:14 7963 7982 10240 10253 EPSG:900913:15 15927 15964 20480 20506 EPSG:900913:16 31855 31929 40960 41012 EPSG:900913:17 63710 63859 81920 82024 EPSG:900913:18 127420 127719 163841 164048 EPSG:900913:19 254841 255439 327683 328096 EPSG:900913:20 509683 510879 655367 656193 EPSG:900913:21 1019367 1021758 1310735 1312387 EPSG:900913:22 2038735 2043517 2621470 2624774 EPSG:900913:23 4077471 4087034 5242940 5249548 EPSG:900913:24 8154942 8174069 10485880 10499097 EPSG:900913:25 16309884 16348139 20971761 20998195 EPSG:900913:26 32619768 32696278 41943522 41996391 EPSG:900913:27 65239536 65392557 83887045 83992783 EPSG:900913:28 130479073 130785115 167774091 167985567 EPSG:900913:29 260958147 261570231 335548183 335971134 EPSG:900913:30 521916294 523140462 671096367 671942269 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 30 80 80 EPSG:4326x2:7 60 60 160 160 EPSG:4326x2:8 120 121 320 320 EPSG:4326x2:9 241 242 640 640 EPSG:4326x2:10 483 485 1280 1281 EPSG:4326x2:11 967 971 2560 2563 EPSG:4326x2:12 1934 1943 5120 5126 EPSG:4326x2:13 3868 3886 10240 10253 EPSG:4326x2:14 7736 7773 20480 20506 EPSG:4326x2:15 15472 15546 40960 41012 EPSG:4326x2:16 30944 31093 81920 82024 EPSG:4326x2:17 61889 62187 163841 164048 EPSG:4326x2:18 123779 124374 327683 328096 EPSG:4326x2:19 247558 248749 655367 656193 EPSG:4326x2:20 495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Citrus Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for irrigated citrus cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for citrus production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data, where only 71 out of 318 land units are covered by existing soil profiles, SoilGrids machine learning-derived data was used to fill spatial gaps and complete the national coverage The evaluation considered: Climate factors (temperature, rainfall, LGP, wind) Soil properties (texture, depth, salinity, fertility, drainage, organic carbon) Terrain characteristics (slope, elevation, aspect, erosion risk) Hydrological conditions (flooding risk, permeability, drainage) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was performed under irrigated conditions, and water availability was not included in the evaluation and must be assessed separately before implementation Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_citrus_suit_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Shabelle River Floods - Hagaa 2020 This data was produced through visual interpretation of Sentinel 1 and Sentinel 2 satellite images acquired between August and September 44.58523412846264 1.754250619618238 45.7159422715063 5.0100251749227604 geonode:shabelle_hagaa_floods_11092020 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 126 159 160 9 248 253 319 321 10 497 507 638 642 11 995 1014 1277 1284 12 1990 2028 2555 2568 13 3981 4056 5110 5136 14 7963 8112 10221 10272 15 15927 16224 20442 20545 16 31854 32448 40884 41090 17 63709 64897 81768 82180 18 127419 129794 163537 164361 19 254838 259588 327075 328722 20 509676 519177 654151 657445 21 1019353 1038355 1308303 1314890 22 2038706 2076710 2616607 2629781 23 4077412 4153420 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EPSG:4326:14 7735 8032 20442 20545 EPSG:4326:15 15471 16064 40884 41090 EPSG:4326:16 30943 32129 81768 82180 EPSG:4326:17 61887 64258 163537 164361 EPSG:4326:18 123775 128517 327075 328722 EPSG:4326:19 247551 257034 654151 657445 EPSG:4326:20 495102 514068 1308303 1314890 EPSG:4326:21 990204 1028137 2616607 2629781 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 62 63 79 80 EPSG:900913x2:8 124 126 159 160 EPSG:900913x2:9 248 253 319 321 EPSG:900913x2:10 497 507 638 642 EPSG:900913x2:11 995 1014 1277 1284 EPSG:900913x2:12 1990 2028 2555 2568 EPSG:900913x2:13 3981 4056 5110 5136 EPSG:900913x2:14 7963 8112 10221 10272 EPSG:900913x2:15 15927 16224 20442 20545 EPSG:900913x2:16 31854 32448 40884 41090 EPSG:900913x2:17 63709 64897 81768 82180 EPSG:900913x2:18 127419 129794 163537 164361 EPSG:900913x2:19 254838 259588 327075 328722 EPSG:900913x2:20 509676 519177 654151 657445 EPSG:900913x2:21 1019353 1038355 1308303 1314890 EPSG:900913x2:22 2038706 2076710 2616607 2629781 EPSG:900913x2:23 4077412 4153420 5233215 5259562 EPSG:900913x2:24 8154825 8306841 10466430 10519125 EPSG:900913x2:25 16309651 16613682 20932861 21038250 EPSG:900913x2:26 32619303 33227364 41865722 42076501 EPSG:900913x2:27 65238606 66454729 83731444 84153002 EPSG:900913x2:28 130477212 132909459 167462888 168306005 EPSG:900913x2:29 260954425 265818919 334925776 336612010 EPSG:900913x2:30 521908851 531637838 669851552 673224021 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 63 79 80 EPSG:900913:8 124 126 159 160 EPSG:900913:9 248 253 319 321 EPSG:900913:10 497 507 638 642 EPSG:900913:11 995 1014 1277 1284 EPSG:900913:12 1990 2028 2555 2568 EPSG:900913:13 3981 4056 5110 5136 EPSG:900913:14 7963 8112 10221 10272 EPSG:900913:15 15927 16224 20442 20545 EPSG:900913:16 31854 32448 40884 41090 EPSG:900913:17 63709 64897 81768 82180 EPSG:900913:18 127419 129794 163537 164361 EPSG:900913:19 254838 259588 327075 328722 EPSG:900913:20 509676 519177 654151 657445 EPSG:900913:21 1019353 1038355 1308303 1314890 EPSG:900913:22 2038706 2076710 2616607 2629781 EPSG:900913:23 4077412 4153420 5233215 5259562 EPSG:900913:24 8154825 8306841 10466430 10519125 EPSG:900913:25 16309651 16613682 20932861 21038250 EPSG:900913:26 32619303 33227364 41865722 42076501 EPSG:900913:27 65238606 66454729 83731444 84153002 EPSG:900913:28 130477212 132909459 167462888 168306005 EPSG:900913:29 260954425 265818919 334925776 336612010 EPSG:900913:30 521908851 531637838 669851552 673224021 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 31 79 80 EPSG:4326x2:7 60 62 159 160 EPSG:4326x2:8 120 125 319 321 EPSG:4326x2:9 241 251 638 642 EPSG:4326x2:10 483 502 1277 1284 EPSG:4326x2:11 966 1004 2555 2568 EPSG:4326x2:12 1933 2008 5110 5136 EPSG:4326x2:13 3867 4016 10221 10272 EPSG:4326x2:14 7735 8032 20442 20545 EPSG:4326x2:15 15471 16064 40884 41090 EPSG:4326x2:16 30943 32129 81768 82180 EPSG:4326x2:17 61887 64258 163537 164361 EPSG:4326x2:18 123775 128517 327075 328722 EPSG:4326x2:19 247551 257034 654151 657445 EPSG:4326x2:20 495102 514068 1308303 1314890 EPSG:4326x2:21 990204 1028137 2616607 2629781 Land_Degradation_CARE_(FAOSWALIM2015) FAO-SWALIM has carried out a national assessment in Somalia to establish the types, extent, and causes of land degradation in the country. SWALIM also studied several control efforts carried out by Somalis and their development partners, documented opportunities for upscaling successful control measures, and made recommendations for implementing land degradation monitoring in the country. 48.217400000000055 7.910690000000045 50.16444000000007 10.005573000000027 geonode:som_land_degradation_care_faoswalim2015 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 30 30 40 40 7 60 61 81 81 8 120 122 162 163 9 241 244 324 327 10 483 489 649 654 11 966 978 1298 1309 12 1933 1957 2596 2618 13 3867 3915 5193 5237 14 7734 7830 10386 10475 15 15468 15661 20772 20950 16 30937 31323 41545 41900 17 61874 62646 83091 83800 18 123748 125293 166182 167600 19 247497 250586 332365 335201 20 494995 501172 664731 670402 21 989990 1002345 1329462 1340805 22 1979981 2004691 2658925 2681610 23 3959963 4009383 5317850 5363220 24 7919926 8018766 10635701 10726440 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 30 30 40 40 7 60 61 81 81 8 120 122 162 163 9 241 244 324 327 10 483 489 649 654 11 966 978 1298 1309 12 1933 1957 2596 2618 13 3867 3915 5193 5237 14 7734 7830 10386 10475 15 15468 15661 20772 20950 16 30937 31323 41545 41900 17 61874 62646 83091 83800 18 123748 125293 166182 167600 19 247497 250586 332365 335201 20 494995 501172 664731 670402 21 989990 1002345 1329462 1340805 22 1979981 2004691 2658925 2681610 23 3959963 4009383 5317850 5363220 24 7919926 8018766 10635701 10726440 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 14 14 40 40 EPSG:4326:6 28 29 81 81 EPSG:4326:7 56 58 162 163 EPSG:4326:8 113 116 324 327 EPSG:4326:9 227 233 649 654 EPSG:4326:10 455 466 1298 1309 EPSG:4326:11 910 933 2596 2618 EPSG:4326:12 1820 1867 5193 5237 EPSG:4326:13 3640 3735 10386 10475 EPSG:4326:14 7281 7471 20772 20950 EPSG:4326:15 14562 14943 41545 41900 EPSG:4326:16 29125 29887 83091 83800 EPSG:4326:17 58250 59775 166182 167600 EPSG:4326:18 116500 119551 332365 335201 EPSG:4326:19 233000 239102 664731 670402 EPSG:4326:20 466001 478204 1329462 1340805 EPSG:4326:21 932002 956409 2658925 2681610 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 30 30 40 40 EPSG:900913x2:7 60 61 81 81 EPSG:900913x2:8 120 122 162 163 EPSG:900913x2:9 241 244 324 327 EPSG:900913x2:10 483 489 649 654 EPSG:900913x2:11 966 978 1298 1309 EPSG:900913x2:12 1933 1957 2596 2618 EPSG:900913x2:13 3867 3915 5193 5237 EPSG:900913x2:14 7734 7830 10386 10475 EPSG:900913x2:15 15468 15661 20772 20950 EPSG:900913x2:16 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EPSG:4326x2:10 455 466 1298 1309 EPSG:4326x2:11 910 933 2596 2618 EPSG:4326x2:12 1820 1867 5193 5237 EPSG:4326x2:13 3640 3735 10386 10475 EPSG:4326x2:14 7281 7471 20772 20950 EPSG:4326x2:15 14562 14943 41545 41900 EPSG:4326x2:16 29125 29887 83091 83800 EPSG:4326x2:17 58250 59775 166182 167600 EPSG:4326x2:18 116500 119551 332365 335201 EPSG:4326x2:19 233000 239102 664731 670402 EPSG:4326x2:20 466001 478204 1329462 1340805 EPSG:4326x2:21 932002 956409 2658925 2681610 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 30 30 40 40 EPSG:900913:7 60 61 81 81 EPSG:900913:8 120 122 162 163 EPSG:900913:9 241 244 324 327 EPSG:900913:10 483 489 649 654 EPSG:900913:11 966 978 1298 1309 EPSG:900913:12 1933 1957 2596 2618 EPSG:900913:13 3867 3915 5193 5237 EPSG:900913:14 7734 7830 10386 10475 EPSG:900913:15 15468 15661 20772 20950 EPSG:900913:16 30937 31323 41545 41900 EPSG:900913:17 61874 62646 83091 83800 EPSG:900913:18 123748 125293 166182 167600 EPSG:900913:19 247497 250586 332365 335201 EPSG:900913:20 494995 501172 664731 670402 EPSG:900913:21 989990 1002345 1329462 1340805 EPSG:900913:22 1979981 2004691 2658925 2681610 EPSG:900913:23 3959963 4009383 5317850 5363220 EPSG:900913:24 7919926 8018766 10635701 10726440 EPSG:900913:25 15839852 16037532 21271403 21452880 EPSG:900913:26 31679705 32075064 42542806 42905761 EPSG:900913:27 63359410 64150129 85085613 85811522 EPSG:900913:28 126718820 128300259 170171227 171623045 EPSG:900913:29 253437640 256600519 340342454 343246091 EPSG:900913:30 506875281 513201038 680684909 686492182 Somalia Landforms (2008) Data of landforms have been produced from FAO Africover 2000, combined with geomorphometry. Data on topography from NASA SRTM 90 m. 40.99214172400008 -1.667189716999928 51.41272354100005 11.99218845400003 geonode:som_landforms_faoswalim20080 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16535 20115 21063 16 30568 33071 40230 42127 17 61137 66143 80460 84254 18 122275 132286 160921 168509 19 244550 264572 321843 337019 20 489100 529144 643686 674038 21 978200 1058289 1287372 1348076 22 1956401 2116578 2574745 2696153 23 3912802 4233157 5149490 5392307 24 7825605 8466315 10298980 10784614 EPSG:3857x2 0 0 0 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standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). 40.99034037600006 -1.64603490199994 51.25991378600003 11.958599760000027 geonode:som_secondary_roads_adc2010 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 328 10 477 516 628 657 11 955 1033 1257 1315 12 1910 2066 2514 2631 13 3821 4133 5028 5262 14 7643 8266 10057 10524 15 15287 16533 20115 21049 16 30575 33067 40230 42099 17 61150 66135 80460 84199 18 122300 132270 160920 168398 19 244600 264541 321840 336796 20 489200 529083 643681 673593 21 978400 1058166 1287362 1347186 22 1956801 2116332 2574724 2694373 23 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EPSG:900913:21 978400 1058166 1287362 1347186 EPSG:900913:22 1956801 2116332 2574724 2694373 EPSG:900913:23 3913602 4232664 5149448 5388746 EPSG:900913:24 7827205 8465329 10298896 10777493 EPSG:900913:25 15654411 16930658 20597792 21554986 EPSG:900913:26 31308823 33861317 41195585 43109972 EPSG:900913:27 62617647 67722634 82391170 86219945 EPSG:900913:28 125235294 135445269 164782341 172439890 EPSG:900913:29 250470588 270890538 329564682 344879780 EPSG:900913:30 500941176 541781077 659129364 689759560 Somalia Dot Grid (2014) The Dot Grid was produced by applying the USGS Rapid Land Cover Mapper (RLCM) methodology that uses regularly spaced (in this case 500m spacing) dot grid statistical approach to generate land cover data. The principal aim was to produce an updated statistical assessment of Somalia's cultivable area. USGS EROS Data Center provided with ASTER satellite imagery of 15m resolution , acquired mainly in 2013. The average visual interpretation scale is 1:50,000. The joint Research Center(JRC) of the European Commission provided with additional additional LANDSAT ETM (2009-2011) satellite images and contributed to the definition and accuracy assessment of the methodology . LANDSAT imagery complemented the baseline images in areas where either cloud cover was present on ASTER images or when gaps occurred. Very high resolution satellite images were used to refine the interpretation of cultivable areas and to verify/validate the natural vegetation cover. \r\nStandardized FAO Land Cover Meta Language (LCML) methodology was utilized to create the legend for the analysis. 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42127 EPSG:4326x2:16 28403 33368 80448 84255 EPSG:4326x2:17 56807 66737 160897 168510 EPSG:4326x2:18 113614 133475 321795 337020 EPSG:4326x2:19 227229 266951 643590 674040 EPSG:4326x2:20 454458 533902 1287180 1348080 EPSG:4326x2:21 908917 1067804 2574360 2696161 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10056 10531 EPSG:900913:15 15284 16534 20112 21063 EPSG:900913:16 30569 33068 40224 42127 EPSG:900913:17 61139 66136 80448 84255 EPSG:900913:18 122278 132273 160897 168510 EPSG:900913:19 244557 264547 321795 337020 EPSG:900913:20 489115 529095 643590 674040 EPSG:900913:21 978231 1058191 1287180 1348080 EPSG:900913:22 1956463 2116383 2574360 2696161 EPSG:900913:23 3912926 4232766 5148721 5392323 EPSG:900913:24 7825852 8465533 10297443 10784646 EPSG:900913:25 15651705 16931067 20594887 21569293 EPSG:900913:26 31303411 33862135 41189775 43138586 EPSG:900913:27 62606823 67724270 82379551 86277172 EPSG:900913:28 125213646 135448541 164759103 172554345 EPSG:900913:29 250427293 270897083 329518207 345108691 EPSG:900913:30 500854586 541794167 659036415 690217383 Strategic Water Sources - February 2018 The dataset contains the most common water source types in Somalia classified into five categories namely: boreholes, shallow wells, dams, springs and berkads. Other source types which do not fit in any of these five categories are classified as “Other” The data is periodically updated from field surveys carried out by FAO/SWALIM through government and NGO partners, or received from WASH Cluster partners.Modern technology has been adopted for field data collection, using mobile phones, building on the conventional paper based questionnaire first developed and adopted by WASH partners in Somalia back in 2006 40.99125300000003 -1.056002699999965 51.28286000000003 11.953340000000026 geonode:som_strategic_water_sources_feb2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 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1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 64 157 164 EPSG:4326:8 110 129 314 328 EPSG:4326:9 221 259 628 657 EPSG:4326:10 443 518 1257 1315 EPSG:4326:11 887 1036 2514 2631 EPSG:4326:12 1775 2072 5028 5262 EPSG:4326:13 3551 4144 10057 10525 EPSG:4326:14 7103 8288 20115 21051 EPSG:4326:15 14207 16576 40230 42103 EPSG:4326:16 28415 33152 80460 84207 EPSG:4326:17 56831 66304 160920 168415 EPSG:4326:18 113663 132609 321841 336830 EPSG:4326:19 227327 265219 643683 673660 EPSG:4326:20 454654 530439 1287367 1347320 EPSG:4326:21 909309 1060879 2574734 2694640 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 128 157 164 EPSG:900913x2:9 238 257 314 328 EPSG:900913x2:10 477 515 628 657 EPSG:900913x2:11 955 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EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 257 314 328 EPSG:900913:10 477 515 628 657 EPSG:900913:11 955 1030 1257 1315 EPSG:900913:12 1911 2060 2514 2631 EPSG:900913:13 3822 4120 5028 5262 EPSG:900913:14 7644 8240 10057 10525 EPSG:900913:15 15288 16480 20115 21051 EPSG:900913:16 30576 32960 40230 42103 EPSG:900913:17 61152 65920 80460 84207 EPSG:900913:18 122304 131841 160920 168415 EPSG:900913:19 244608 263682 321841 336830 EPSG:900913:20 489216 527364 643683 673660 EPSG:900913:21 978432 1054728 1287367 1347320 EPSG:900913:22 1956864 2109456 2574734 2694640 EPSG:900913:23 3913728 4218912 5149469 5389281 EPSG:900913:24 7827456 8437824 10298938 10778562 EPSG:900913:25 15654912 16875648 20597877 21557124 EPSG:900913:26 31309825 33751296 41195755 43114249 EPSG:900913:27 62619651 67502592 82391510 86228499 EPSG:900913:28 125239303 135005185 164783021 172456999 EPSG:900913:29 250478606 270010370 329566043 344913999 EPSG:900913:30 500957212 540020741 659132086 689827999 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 129 314 328 EPSG:4326x2:9 221 259 628 657 EPSG:4326x2:10 443 518 1257 1315 EPSG:4326x2:11 887 1036 2514 2631 EPSG:4326x2:12 1775 2072 5028 5262 EPSG:4326x2:13 3551 4144 10057 10525 EPSG:4326x2:14 7103 8288 20115 21051 EPSG:4326x2:15 14207 16576 40230 42103 EPSG:4326x2:16 28415 33152 80460 84207 EPSG:4326x2:17 56831 66304 160920 168415 EPSG:4326x2:18 113663 132609 321841 336830 EPSG:4326x2:19 227327 265219 643683 673660 EPSG:4326x2:20 454654 530439 1287367 1347320 EPSG:4326x2:21 909309 1060879 2574734 2694640 Mango Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_mango_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 EPSG:900913x2:8 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EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Irrigation Canals in Somalia (2018) In pre-war Somalia (before 1990), large-scale irrigation schemes existed along the Juba and Shabelle basins. These controlled irrigation systems consisting of barrages, canals and other infrastructure, were constructed in the middle and lower reaches of both rivers. The canal system comprised primary and secondary canals, and numerous tertiary canals, with water flow controlled by barrages or weirs. Pumped irrigation systems also existed, especially along the Juba river where large pumps were used to take water from the river to other network of canals. Before the collapse of the government, the Somali Ministry of Agriculture estimated that 112,950ha was under controlled irrigation, while 110,000ha was under flood recession irrigation (cultivation along the edge of rivers or other water bodies using water from receding floods), giving a total irrigated area in the country of 222,950ha. Currently, the majority of this infrastructure is not functioning, and the area under irrigation has been significantly reduced 42.73301826900007 0.164672852000024 45.68179011900003 4.969430761000069 geonode:som_irrigation_canals_faoswalim2018 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 248 255 316 320 10 497 511 633 641 11 995 1023 1267 1283 12 1991 2046 2534 2567 13 3982 4092 5068 5135 14 7965 8184 10136 10271 15 15931 16369 20273 20542 16 31862 32738 40547 41084 17 63724 65476 81094 82168 18 127448 130952 162189 164336 19 254897 261904 324378 328672 20 509795 523808 648756 657345 21 1019590 1047616 1297513 1314691 22 2039181 2095233 2595027 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648756 657345 EPSG:900913:21 1019590 1047616 1297513 1314691 EPSG:900913:22 2039181 2095233 2595027 2629383 EPSG:900913:23 4078362 4190466 5190055 5258766 EPSG:900913:24 8156724 8380933 10380110 10517533 EPSG:900913:25 16313449 16761867 20760221 21035067 EPSG:900913:26 32626899 33523734 41520443 42070134 EPSG:900913:27 65253798 67047469 83040887 84140269 EPSG:900913:28 130507597 134094938 166081775 168280539 EPSG:900913:29 261015194 268189877 332163551 336561079 EPSG:900913:30 522030389 536379755 664327103 673122158 Data - Status of River Breakages along Shabelle River - Issued August 2025 FAO-SWALIM has updating the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Five types of breakages have been identified; Open, Overflow, Canal Breakage, Canal Intake Flooding and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. A legend/Key for further explanation of the different types of breakages is provided.  Along the Shabelle river, a total of 126 Open breakage points, 55 Canal flooding points, 188 Overflow points and 7 points closed with sandbags have been identified. Users are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available.  For questions or further clarifications related to the reports, you can contact us by sending an email to SWALIM@fao.org.  44.12800000000004 1.551000000000045 45.67867000000007 4.892940000000067 geonode:river_breakage_shabell_aug_2025 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 126 159 160 9 249 253 318 320 10 498 507 637 641 11 996 1015 1275 1283 12 1992 2030 2550 2567 13 3984 4060 5100 5135 14 7969 8121 10200 10270 15 15938 16242 20400 20541 16 31876 32485 40801 41083 17 63752 64971 81602 82167 18 127504 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EPSG:900913:17 63752 64971 81602 82167 EPSG:900913:18 127504 129942 163205 164334 EPSG:900913:19 255009 259884 326410 328668 EPSG:900913:20 510018 519769 652820 657336 EPSG:900913:21 1020037 1039539 1305640 1314673 EPSG:900913:22 2040075 2079079 2611280 2629347 EPSG:900913:23 4080151 4158158 5222560 5258694 EPSG:900913:24 8160302 8316317 10445121 10517388 EPSG:900913:25 16320605 16632634 20890243 21034776 EPSG:900913:26 32641211 33265269 41780487 42069553 EPSG:900913:27 65282422 66530538 83560974 84139106 EPSG:900913:28 130564844 133061077 167121949 168278213 EPSG:900913:29 261129689 266122154 334243899 336556426 EPSG:900913:30 522259379 532244309 668487798 673112852 SOM Flood Prone Areas - Merge of Flood Extent 2013-2023 This is a merge of historical flood extents. See "SOM Juba Shabelle River Floods" layers: Deyr 2023, Gu 2021, Gu 2020, Hagaa 2020, Gu 2019, Deyr 2019, Gu 2018, Deyr 2018, Gu 2016, Gu 2015, Deyr 2013 40.99564999904828 -1.623307531917021 48.34046489723727 6.010755708009583 geonode:som_flood_prone_areas_merge_of_historical0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 30 32 39 40 7 61 64 78 81 8 123 129 157 162 9 247 258 314 324 10 494 516 628 649 11 989 1033 1257 1299 12 1979 2066 2514 2598 13 3958 4132 5028 5196 14 7917 8265 10057 10392 15 15835 16531 20115 20784 16 31671 33063 40231 41568 17 63343 66127 80462 83136 18 126687 132254 160924 166272 19 253374 264508 321848 332544 20 506748 529016 643696 665089 21 1013496 1058033 1287392 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321848 332544 EPSG:900913:20 506748 529016 643696 665089 EPSG:900913:21 1013496 1058033 1287392 1330179 EPSG:900913:22 2026992 2116067 2574785 2660359 EPSG:900913:23 4053985 4232134 5149571 5320718 EPSG:900913:24 8107971 8464269 10299143 10641436 EPSG:900913:25 16215942 16928539 20598287 21282873 EPSG:900913:26 32431884 33857078 41196575 42565747 EPSG:900913:27 64863769 67714157 82393150 85131495 EPSG:900913:28 129727539 135428315 164786300 170262991 EPSG:900913:29 259455079 270856631 329572600 340525982 EPSG:900913:30 518910159 541713263 659145200 681051964 Agri-Suitability of SorghumR2 in North of Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for SorghumR2in selected areas in northern part of Somalia (Garbiley and Boroma areas in Somaliland) 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_land_agrisuitability_sorghumr2_n_faoswali other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 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EPSG:4326:13 3609 3678 10149 10215 EPSG:4326:14 7218 7357 20298 20431 EPSG:4326:15 14437 14715 40597 40862 EPSG:4326:16 28875 29430 81195 81724 EPSG:4326:17 57751 58861 162391 163448 EPSG:4326:18 115503 117722 324783 326896 EPSG:4326:19 231007 235444 649566 653793 EPSG:4326:20 462015 470889 1299132 1307586 EPSG:4326:21 924031 941778 2598265 2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 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EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29430 81195 81724 EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Somalia Surface Water Sources The the dataset contains Somali Water Catchments, and their rehabilitation status, for the period between 2013 and 2017 divided into phases 2a, 2b, 2c, 3, 4, 5, 6a, 6b, 6c and 7a.The status depicted could either be 'rehabilitated', 'not rehabilitated', 'partially rehabilitated', 'not clear' or 'not assessed'.The water catchments are managed by different Non-Governmental Organizations in Somali.This dataset was generated by taking photographs of the catchments using GPS enabled digital cameras. The geographical X and Y coordinates of the catchments were extracted from the photographs and plotted to generate a shapefile layer. The developed shapefile was overlaid on high resolution satellite images captured just before and immediately after the rehabilitation of the water catchments. The satellite images were then observed for rehabilitation status of different water catchments. 40.99412667000007 -1.056002699999965 51.28286000000003 11.953340000000026 geonode:som_water_sources_ground_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 955 1030 1257 1315 12 1911 2060 2514 2631 13 3822 4120 5028 5262 14 7644 8240 10057 10525 15 15288 16480 20115 21051 16 30576 32960 40230 42103 17 61152 65920 80461 84207 18 122304 131841 160923 168415 19 244608 263682 321846 336830 20 489216 527364 643692 673660 21 978432 1054728 1287384 1347320 22 1956864 2109456 2574768 2694640 23 3913728 4218912 5149536 5389281 24 7827456 8437824 10299072 10778562 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 955 1030 1257 1315 12 1911 2060 2514 2631 13 3822 4120 5028 5262 14 7644 8240 10057 10525 15 15288 16480 20115 21051 16 30576 32960 40230 42103 17 61152 65920 80461 84207 18 122304 131841 160923 168415 19 244608 263682 321846 336830 20 489216 527364 643692 673660 21 978432 1054728 1287384 1347320 22 1956864 2109456 2574768 2694640 23 3913728 4218912 5149536 5389281 24 7827456 8437824 10299072 10778562 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 64 157 164 EPSG:4326:8 110 129 314 328 EPSG:4326:9 221 259 628 657 EPSG:4326:10 443 518 1257 1315 EPSG:4326:11 887 1036 2514 2631 EPSG:4326:12 1775 2072 5028 5262 EPSG:4326:13 3551 4144 10057 10525 EPSG:4326:14 7103 8288 20115 21051 EPSG:4326:15 14207 16576 40230 42103 EPSG:4326:16 28415 33152 80461 84207 EPSG:4326:17 56831 66304 160923 168415 EPSG:4326:18 113663 132609 321846 336830 EPSG:4326:19 227327 265219 643692 673660 EPSG:4326:20 454654 530439 1287384 1347320 EPSG:4326:21 909309 1060879 2574768 2694640 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 128 157 164 EPSG:900913x2:9 238 257 314 328 EPSG:900913x2:10 477 515 628 657 EPSG:900913x2:11 955 1030 1257 1315 EPSG:900913x2:12 1911 2060 2514 2631 EPSG:900913x2:13 3822 4120 5028 5262 EPSG:900913x2:14 7644 8240 10057 10525 EPSG:900913x2:15 15288 16480 20115 21051 EPSG:900913x2:16 30576 32960 40230 42103 EPSG:900913x2:17 61152 65920 80461 84207 EPSG:900913x2:18 122304 131841 160923 168415 EPSG:900913x2:19 244608 263682 321846 336830 EPSG:900913x2:20 489216 527364 643692 673660 EPSG:900913x2:21 978432 1054728 1287384 1347320 EPSG:900913x2:22 1956864 2109456 2574768 2694640 EPSG:900913x2:23 3913728 4218912 5149536 5389281 EPSG:900913x2:24 7827456 8437824 10299072 10778562 EPSG:900913x2:25 15654912 16875648 20598145 21557124 EPSG:900913x2:26 31309825 33751296 41196291 43114249 EPSG:900913x2:27 62619651 67502592 82392582 86228499 EPSG:900913x2:28 125239303 135005185 164785164 172456999 EPSG:900913x2:29 250478606 270010370 329570328 344913999 EPSG:900913x2:30 500957212 540020741 659140657 689827999 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 129 314 328 EPSG:4326x2:9 221 259 628 657 EPSG:4326x2:10 443 518 1257 1315 EPSG:4326x2:11 887 1036 2514 2631 EPSG:4326x2:12 1775 2072 5028 5262 EPSG:4326x2:13 3551 4144 10057 10525 EPSG:4326x2:14 7103 8288 20115 21051 EPSG:4326x2:15 14207 16576 40230 42103 EPSG:4326x2:16 28415 33152 80461 84207 EPSG:4326x2:17 56831 66304 160923 168415 EPSG:4326x2:18 113663 132609 321846 336830 EPSG:4326x2:19 227327 265219 643692 673660 EPSG:4326x2:20 454654 530439 1287384 1347320 EPSG:4326x2:21 909309 1060879 2574768 2694640 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 257 314 328 EPSG:900913:10 477 515 628 657 EPSG:900913:11 955 1030 1257 1315 EPSG:900913:12 1911 2060 2514 2631 EPSG:900913:13 3822 4120 5028 5262 EPSG:900913:14 7644 8240 10057 10525 EPSG:900913:15 15288 16480 20115 21051 EPSG:900913:16 30576 32960 40230 42103 EPSG:900913:17 61152 65920 80461 84207 EPSG:900913:18 122304 131841 160923 168415 EPSG:900913:19 244608 263682 321846 336830 EPSG:900913:20 489216 527364 643692 673660 EPSG:900913:21 978432 1054728 1287384 1347320 EPSG:900913:22 1956864 2109456 2574768 2694640 EPSG:900913:23 3913728 4218912 5149536 5389281 EPSG:900913:24 7827456 8437824 10299072 10778562 EPSG:900913:25 15654912 16875648 20598145 21557124 EPSG:900913:26 31309825 33751296 41196291 43114249 EPSG:900913:27 62619651 67502592 82392582 86228499 EPSG:900913:28 125239303 135005185 164785164 172456999 EPSG:900913:29 250478606 270010370 329570328 344913999 EPSG:900913:30 500957212 540020741 659140657 689827999 reservoirs_monitor No abstract provided 40.9912106 -1.5873291 50.8477423 11.1260654 geonode:reservoirs_monitor other other other other text/xml other other other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 14 16 39 41 EPSG:4326:6 28 32 78 82 EPSG:4326:7 56 65 157 164 EPSG:4326:8 112 130 314 328 EPSG:4326:9 224 260 628 656 EPSG:4326:10 448 521 1257 1313 EPSG:4326:11 897 1042 2514 2626 EPSG:4326:12 1794 2084 5028 5253 EPSG:4326:13 3589 4168 10057 10506 EPSG:4326:14 7179 8336 20115 21012 EPSG:4326:15 14358 16672 40230 42024 EPSG:4326:16 28717 33345 80460 84049 EPSG:4326:17 57434 66691 160920 168098 EPSG:4326:18 114868 133383 321841 336196 EPSG:4326:19 229736 266767 643683 672392 EPSG:4326:20 459473 533534 1287367 1344785 EPSG:4326:21 918947 1067069 2574734 2689571 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 30 32 39 41 EPSG:900913x2:7 60 64 78 82 EPSG:900913x2:8 120 129 157 164 EPSG:900913x2:9 240 258 314 328 EPSG:900913x2:10 480 516 628 656 EPSG:900913x2:11 960 1033 1257 1313 EPSG:900913x2:12 1920 2066 2514 2626 EPSG:900913x2:13 3841 4132 5028 5253 EPSG:900913x2:14 7682 8264 10057 10506 EPSG:900913x2:15 15364 16528 20115 21012 EPSG:900913x2:16 30729 33057 40230 42024 EPSG:900913x2:17 61459 66114 80460 84049 EPSG:900913x2:18 122918 132228 160920 168098 EPSG:900913x2:19 245837 264456 321841 336196 EPSG:900913x2:20 491675 528912 643683 672392 EPSG:900913x2:21 983350 1057824 1287367 1344785 EPSG:900913x2:22 1966701 2115648 2574734 2689571 EPSG:900913x2:23 3933403 4231296 5149468 5379142 EPSG:900913x2:24 7866806 8462592 10298936 10758284 EPSG:900913x2:25 15733612 16925184 20597873 21516569 EPSG:900913x2:26 31467224 33850369 41195747 43033138 EPSG:900913x2:27 62934448 67700738 82391494 86066276 EPSG:900913x2:28 125868896 135401477 164782989 172132552 EPSG:900913x2:29 251737792 270802955 329565979 344265105 EPSG:900913x2:30 503475584 541605911 659131959 688530210 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 30 32 39 41 EPSG:900913:7 60 64 78 82 EPSG:900913:8 120 129 157 164 EPSG:900913:9 240 258 314 328 EPSG:900913:10 480 516 628 656 EPSG:900913:11 960 1033 1257 1313 EPSG:900913:12 1920 2066 2514 2626 EPSG:900913:13 3841 4132 5028 5253 EPSG:900913:14 7682 8264 10057 10506 EPSG:900913:15 15364 16528 20115 21012 EPSG:900913:16 30729 33057 40230 42024 EPSG:900913:17 61459 66114 80460 84049 EPSG:900913:18 122918 132228 160920 168098 EPSG:900913:19 245837 264456 321841 336196 EPSG:900913:20 491675 528912 643683 672392 EPSG:900913:21 983350 1057824 1287367 1344785 EPSG:900913:22 1966701 2115648 2574734 2689571 EPSG:900913:23 3933403 4231296 5149468 5379142 EPSG:900913:24 7866806 8462592 10298936 10758284 EPSG:900913:25 15733612 16925184 20597873 21516569 EPSG:900913:26 31467224 33850369 41195747 43033138 EPSG:900913:27 62934448 67700738 82391494 86066276 EPSG:900913:28 125868896 135401477 164782989 172132552 EPSG:900913:29 251737792 270802955 329565979 344265105 EPSG:900913:30 503475584 541605911 659131959 688530210 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 14 16 39 41 EPSG:4326x2:6 28 32 78 82 EPSG:4326x2:7 56 65 157 164 EPSG:4326x2:8 112 130 314 328 EPSG:4326x2:9 224 260 628 656 EPSG:4326x2:10 448 521 1257 1313 EPSG:4326x2:11 897 1042 2514 2626 EPSG:4326x2:12 1794 2084 5028 5253 EPSG:4326x2:13 3589 4168 10057 10506 EPSG:4326x2:14 7179 8336 20115 21012 EPSG:4326x2:15 14358 16672 40230 42024 EPSG:4326x2:16 28717 33345 80460 84049 EPSG:4326x2:17 57434 66691 160920 168098 EPSG:4326x2:18 114868 133383 321841 336196 EPSG:4326x2:19 229736 266767 643683 672392 EPSG:4326x2:20 459473 533534 1287367 1344785 EPSG:4326x2:21 918947 1067069 2574734 2689571 time 2025-09-01T00:00:00Z 2025-01-01T00:00:00.000Z 2025-02-01T00:00:00.000Z 2025-03-01T00:00:00.000Z 2025-04-01T00:00:00.000Z 2025-05-01T00:00:00.000Z 2025-06-01T00:00:00.000Z 2025-07-01T00:00:00.000Z 2025-08-01T00:00:00.000Z 2025-09-01T00:00:00.000Z Administrative Districts Within Mogadishu Digital city map of Mogadishu based on local city maps, NIMA city maps, Landsat ETM+ and QB-images 45.22952244600003 1.974369931000069 45.43303938300005 2.099879804000068 geonode:mogadishu_districts_unocha other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 63 63 80 80 8 126 126 160 160 9 253 253 320 320 10 506 506 640 641 11 1012 1012 1281 1282 12 2024 2025 2562 2564 13 4048 4051 5125 5129 14 8096 8102 10250 10259 15 16192 16204 20500 20519 16 32385 32408 41001 41038 17 64771 64817 82003 82077 18 129542 129634 164007 164155 19 259085 259268 328014 328310 20 518170 518536 656028 656621 21 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EPSG:900913:19 259085 259268 328014 328310 EPSG:900913:20 518170 518536 656028 656621 EPSG:900913:21 1036340 1037072 1312057 1313242 EPSG:900913:22 2072681 2074144 2624114 2626485 EPSG:900913:23 4145362 4148288 5248228 5252970 EPSG:900913:24 8290724 8296577 10496456 10505941 EPSG:900913:25 16581449 16593154 20992913 21011882 EPSG:900913:26 33162898 33186309 41985826 42023764 EPSG:900913:27 66325796 66372619 83971652 84047528 EPSG:900913:28 132651593 132745239 167943304 168095057 EPSG:900913:29 265303186 265490479 335886608 336190115 EPSG:900913:30 530606373 530980958 671773217 672380230 Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2019 Four types of breakages have been identified, namely; open, potential, closed with sandbags and closed. The open breakages are those that are still open as observed on the latest VHR image available, therefore a field verification is needed before planning any repair. 42.06818600000008 -0.070969999999988 45.678670000000125 4.864156999999977 geonode:shabelle_juba_river_breakages_feb2019 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15940 16390 20213 20541 16 31881 32780 40426 41083 17 63762 65561 80852 82167 18 127525 131123 161705 164334 19 255051 262247 323410 328668 20 510103 524494 646820 657336 21 1020206 1048989 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323410 328668 EPSG:900913:20 510103 524494 646820 657336 EPSG:900913:21 1020206 1048989 1293640 1314673 EPSG:900913:22 2040412 2097978 2587281 2629347 EPSG:900913:23 4080824 4195957 5174563 5258694 EPSG:900913:24 8161649 8391915 10349127 10517388 EPSG:900913:25 16323298 16783830 20698255 21034776 EPSG:900913:26 32646596 33567661 41396510 42069553 EPSG:900913:27 65293192 67135323 82793020 84139106 EPSG:900913:28 130586385 134270647 165586041 168278213 EPSG:900913:29 261172770 268541294 331172082 336556426 EPSG:900913:30 522345540 537082588 662344164 673112852 Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2017 A total of 37 Open points were identified, 19 along Juba River and 18 along Shabelle River. Several other points, which are either potential ; 359 or temporarily closed with sandbags ;122 were also identified. 42.06818600000008 -0.070969999999988 45.678670000000125 4.864156999999977 geonode:shabelle_juba_river_breakages_feb2017 other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15940 16390 20213 20541 16 31881 32780 40426 41083 17 63762 65561 80852 82167 18 127525 131123 161705 164334 19 255051 262247 323410 328668 20 510103 524494 646820 657336 21 1020206 1048989 1293640 1314673 22 2040412 2097978 2587281 2629347 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EPSG:4326x2:14 7749 8198 20213 20541 EPSG:4326x2:15 15498 16396 40426 41083 EPSG:4326x2:16 30997 32793 80852 82167 EPSG:4326x2:17 61994 65587 161705 164334 EPSG:4326x2:18 123988 131175 323410 328668 EPSG:4326x2:19 247976 262350 646820 657336 EPSG:4326x2:20 495952 524701 1293640 1314673 EPSG:4326x2:21 991904 1049402 2587281 2629347 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2048 2526 2567 EPSG:900913:13 3985 4097 5053 5135 EPSG:900913:14 7970 8195 10106 10270 EPSG:900913:15 15940 16390 20213 20541 EPSG:900913:16 31881 32780 40426 41083 EPSG:900913:17 63762 65561 80852 82167 EPSG:900913:18 127525 131123 161705 164334 EPSG:900913:19 255051 262247 323410 328668 EPSG:900913:20 510103 524494 646820 657336 EPSG:900913:21 1020206 1048989 1293640 1314673 EPSG:900913:22 2040412 2097978 2587281 2629347 EPSG:900913:23 4080824 4195957 5174563 5258694 EPSG:900913:24 8161649 8391915 10349127 10517388 EPSG:900913:25 16323298 16783830 20698255 21034776 EPSG:900913:26 32646596 33567661 41396510 42069553 EPSG:900913:27 65293192 67135323 82793020 84139106 EPSG:900913:28 130586385 134270647 165586041 168278213 EPSG:900913:29 261172770 268541294 331172082 336556426 EPSG:900913:30 522345540 537082588 662344164 673112852 Land Graze Suitability of Camels in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for animal grazing (Camels) in selected areas insouthern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_land_grazesuitability_camels_s_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 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64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Landscape Units (North of West Somalia - 2007) The landscape data of north western part of Somalia defines the classes of topography and landscape units based on SRTM 90 m. 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:som_landscape_nw_faoswalim20070 text/xml other other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain 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252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 Maize Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye__maize_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 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159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Status of River Breakages Along Juba and Shabelle Rivers - Issued March 2020 FAO SWALIM has finalized the analysis and mapping of the river breakages along the Juba and Shabelle rivers using very high resolution satellite imagery. Breakages identified in the map have been classified into five different categories; Open, Overflow, Potential Overflows, Potential breakages and Closed with sandbags. A total of 152 Open points have been identified, 100 on the Shabelle River and 52 on the Juba River which require immediate attention. 42.068186 -0.07097 45.67867 4.864157 geonode:shabelle_juba_feb_2020frrmis_vxt8mgw other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3985 4097 5053 5135 14 7970 8195 10106 10270 15 15940 16390 20213 20541 16 31881 32780 40426 41083 17 63762 65561 80852 82167 18 127525 131123 161705 164334 19 255051 262247 323410 328668 20 510103 524494 646820 657336 21 1020206 1048989 1293640 1314673 22 2040412 2097978 2587281 2629347 23 4080824 4195957 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The layer is updated by the United Nations Support Office in Somalia (UNSOS) 41.02911118700007 -0.389332999999965 51.32642710300007 11.947440000000029 geonode:airfields_unsos other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 256 314 328 10 477 513 628 657 11 955 1026 1257 1315 12 1911 2052 2514 2631 13 3822 4104 5029 5263 14 7644 8209 10059 10527 15 15288 16419 20118 21055 16 30577 32838 40237 42111 17 61154 65677 80474 84223 18 122308 131355 160948 168446 19 244616 262711 321896 336893 20 489233 525422 643793 673787 21 978467 1050844 1287587 1347574 22 1956934 2101688 2575175 2695148 23 3913868 4203376 5150351 5390296 24 7827737 8406752 10300703 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514 1257 1315 EPSG:4326x2:11 888 1028 2514 2631 EPSG:4326x2:12 1776 2056 5029 5263 EPSG:4326x2:13 3552 4113 10059 10527 EPSG:4326x2:14 7104 8227 20118 21055 EPSG:4326x2:15 14209 16454 40237 42111 EPSG:4326x2:16 28418 32909 80474 84223 EPSG:4326x2:17 56836 65819 160948 168446 EPSG:4326x2:18 113672 131639 321896 336893 EPSG:4326x2:19 227344 263278 643793 673787 EPSG:4326x2:20 454689 526556 1287587 1347574 EPSG:4326x2:21 909378 1053112 2575175 2695148 Culverts along Juba and Shabelle Locations of culverts along Juba and Shabelle rivers in Somalia. Data is collected and compiled by FAO Water and Land Information Management (SWALIM). 44.231430878000026 1.60074154800003 44.37306150500007 1.666982159000042 geonode:som_river_culvert_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 63 63 79 79 8 126 126 159 159 9 253 253 318 319 10 507 507 637 638 11 1014 1014 1275 1276 12 2029 2029 2551 2552 13 4058 4059 5102 5105 14 8116 8119 10205 10211 15 16232 16238 20410 20422 16 32464 32476 40820 40845 17 64928 64953 81640 81691 18 129857 129906 163280 163383 19 259715 259812 326560 326766 20 519431 519624 653121 653533 21 1038863 1039249 1306242 1307067 22 2077727 2078499 2612485 2614135 23 4155455 4156999 5224971 5228271 24 8310910 8313998 10449942 10456542 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 31 31 39 39 7 63 63 79 79 8 126 126 159 159 9 253 253 318 319 10 507 507 637 638 11 1014 1014 1275 1276 12 2029 2029 2551 2552 13 4058 4059 5102 5105 14 8116 8119 10205 10211 15 16232 16238 20410 20422 16 32464 32476 40820 40845 17 64928 64953 81640 81691 18 129857 129906 163280 163383 19 259715 259812 326560 326766 20 519431 519624 653121 653533 21 1038863 1039249 1306242 1307067 22 2077727 2078499 2612485 2614135 23 4155455 4156999 5224971 5228271 24 8310910 8313998 10449942 10456542 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 4 EPSG:4326:3 3 3 9 9 EPSG:4326:4 7 7 19 19 EPSG:4326:5 15 15 39 39 EPSG:4326:6 31 31 79 79 EPSG:4326:7 62 62 159 159 EPSG:4326:8 125 125 318 319 EPSG:4326:9 251 251 637 638 EPSG:4326:10 502 502 1275 1276 EPSG:4326:11 1005 1005 2551 2552 EPSG:4326:12 2010 2011 5102 5105 EPSG:4326:13 4020 4023 10205 10211 EPSG:4326:14 8040 8046 20410 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16238 20410 20422 EPSG:900913:16 32464 32476 40820 40845 EPSG:900913:17 64928 64953 81640 81691 EPSG:900913:18 129857 129906 163280 163383 EPSG:900913:19 259715 259812 326560 326766 EPSG:900913:20 519431 519624 653121 653533 EPSG:900913:21 1038863 1039249 1306242 1307067 EPSG:900913:22 2077727 2078499 2612485 2614135 EPSG:900913:23 4155455 4156999 5224971 5228271 EPSG:900913:24 8310910 8313998 10449942 10456542 EPSG:900913:25 16621820 16627996 20899884 20913085 EPSG:900913:26 33243640 33255993 41799768 41826170 EPSG:900913:27 66487280 66511986 83599536 83652340 EPSG:900913:28 132974560 133023973 167199073 167304680 EPSG:900913:29 265949121 266047946 334398146 334609361 EPSG:900913:30 531898242 532095893 668796293 669218723 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 4 EPSG:4326x2:3 3 3 9 9 EPSG:4326x2:4 7 7 19 19 EPSG:4326x2:5 15 15 39 39 EPSG:4326x2:6 31 31 79 79 EPSG:4326x2:7 62 62 159 159 EPSG:4326x2:8 125 125 318 319 EPSG:4326x2:9 251 251 637 638 EPSG:4326x2:10 502 502 1275 1276 EPSG:4326x2:11 1005 1005 2551 2552 EPSG:4326x2:12 2010 2011 5102 5105 EPSG:4326x2:13 4020 4023 10205 10211 EPSG:4326x2:14 8040 8046 20410 20422 EPSG:4326x2:15 16080 16092 40820 40845 EPSG:4326x2:16 32161 32185 81640 81691 EPSG:4326x2:17 64322 64370 163280 163383 EPSG:4326x2:18 128644 128740 326560 326766 EPSG:4326x2:19 257288 257481 653121 653533 EPSG:4326x2:20 514577 514963 1306242 1307067 EPSG:4326x2:21 1029154 1029926 2612485 2614135 Sorghum Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_sorghum_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Banana Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_banana_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 63 63 79 80 8 126 126 159 160 9 252 253 319 320 10 505 507 638 640 11 1011 1014 1277 1280 12 2023 2028 2555 2561 13 4046 4056 5111 5123 14 8092 8113 10223 10247 15 16184 16226 20447 20495 16 32369 32453 40895 40990 17 64738 64907 81791 81980 18 129477 129815 163582 163961 19 258955 259630 327165 327922 20 517910 519261 654330 655844 21 1035821 1038523 1308660 1311688 22 2071643 2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 31 31 79 80 EPSG:4326:7 62 62 159 160 EPSG:4326:8 124 125 319 320 EPSG:4326:9 249 251 638 640 EPSG:4326:10 499 502 1277 1280 EPSG:4326:11 999 1004 2555 2561 EPSG:4326:12 1998 2008 5111 5123 EPSG:4326:13 3996 4017 10223 10247 EPSG:4326:14 7992 8034 20447 20495 EPSG:4326:15 15985 16069 40895 40990 EPSG:4326:16 31971 32139 81791 81980 EPSG:4326:17 63942 64279 163582 163961 EPSG:4326:18 127884 128559 327165 327922 EPSG:4326:19 255768 257118 654330 655844 EPSG:4326:20 511536 514236 1308660 1311688 EPSG:4326:21 1023073 1028473 2617320 2623376 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 63 63 79 80 EPSG:900913x2:8 126 126 159 160 EPSG:900913x2:9 252 253 319 320 EPSG:900913x2:10 505 507 638 640 EPSG:900913x2:11 1011 1014 1277 1280 EPSG:900913x2:12 2023 2028 2555 2561 EPSG:900913x2:13 4046 4056 5111 5123 EPSG:900913x2:14 8092 8113 10223 10247 EPSG:900913x2:15 16184 16226 20447 20495 EPSG:900913x2:16 32369 32453 40895 40990 EPSG:900913x2:17 64738 64907 81791 81980 EPSG:900913x2:18 129477 129815 163582 163961 EPSG:900913x2:19 258955 259630 327165 327922 EPSG:900913x2:20 517910 519261 654330 655844 EPSG:900913x2:21 1035821 1038523 1308660 1311688 EPSG:900913x2:22 2071643 2077046 2617320 2623376 EPSG:900913x2:23 4143286 4154093 5234640 5246752 EPSG:900913x2:24 8286572 8308186 10469281 10493505 EPSG:900913x2:25 16573145 16616372 20938563 20987011 EPSG:900913x2:26 33146290 33232744 41877127 41974023 EPSG:900913x2:27 66292581 66465489 83754254 83948047 EPSG:900913x2:28 132585163 132930978 167508508 167896095 EPSG:900913x2:29 265170327 265861956 335017016 335792191 EPSG:900913x2:30 530340655 531723912 670034032 671584382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 31 31 79 80 EPSG:4326x2:7 62 62 159 160 EPSG:4326x2:8 124 125 319 320 EPSG:4326x2:9 249 251 638 640 EPSG:4326x2:10 499 502 1277 1280 EPSG:4326x2:11 999 1004 2555 2561 EPSG:4326x2:12 1998 2008 5111 5123 EPSG:4326x2:13 3996 4017 10223 10247 EPSG:4326x2:14 7992 8034 20447 20495 EPSG:4326x2:15 15985 16069 40895 40990 EPSG:4326x2:16 31971 32139 81791 81980 EPSG:4326x2:17 63942 64279 163582 163961 EPSG:4326x2:18 127884 128559 327165 327922 EPSG:4326x2:19 255768 257118 654330 655844 EPSG:4326x2:20 511536 514236 1308660 1311688 EPSG:4326x2:21 1023073 1028473 2617320 2623376 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Surface Water Sources - 2025 (HOT-OSM / FAO-SWALIM) This dataset contains 54,802 mapped surface water sources across Somalia, including Berkads (33,649), Haffir dams (14,488), and natural ponds (6,665), digitized through a coordinated crowd-mapping campaign led by the Humanitarian OpenStreetMap Team (HOT-OSM) in collaboration with FAO Somalia Water and Land Information Management (SWALIM). The data was collected between 2024–2025 using remote mapping and validation workflows based on high-resolution satellite imagery and OpenStreetMap (OSM) standards. Features were digitized as polygons and attributed with water source type, shape, and descriptive characteristics to support water availability assessment, drought preparedness, and early warning analysis. The finalized dataset has been quality-controlled and integrated into FAO’s early warning and decision-support systems and is made available for humanitarian and development partners to support drought response, water resource planning, and resilience programming across Somalia. Data Access and Updates This dataset is maintained within the OpenStreetMap (OSM) ecosystem and may be updated over time through ongoing OSM community contributions. The data can be accessed through any platform or application that supports OpenStreetMap data, including desktop GIS software such as QGIS and OSM query services such as Overpass Turbo (https://overpass-turbo.eu/). The surface water sources can be queried and extracted using standard OSM tags, including: natural=reservoir water=reservoir Additional feature classification can be derived from associated attributes indicating water source type (Berkad, Haffir, Natural Pond) and geometry. -180.0 -90.0 180.0 90.0 geonode:reservoirs other other other other text/xml other other other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 EPSG:3857x2 EPSG:4326 EPSG:900913x2 EPSG:900913 EPSG:4326x2 Citrus Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_citrus_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 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EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 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168511 EPSG:4326x2:18 113612 133481 321838 337022 EPSG:4326x2:19 227225 266962 643676 674045 EPSG:4326x2:20 454450 533924 1287352 1348090 EPSG:4326x2:21 908901 1067849 2574704 2696181 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15284 16534 20114 21063 EPSG:900913:16 30569 33069 40229 42127 EPSG:900913:17 61138 66138 80459 84255 EPSG:900913:18 122277 132276 160919 168511 EPSG:900913:19 244555 264553 321838 337022 EPSG:900913:20 489111 529106 643676 674045 EPSG:900913:21 978223 1058213 1287352 1348090 EPSG:900913:22 1956446 2116427 2574704 2696181 EPSG:900913:23 3912893 4232855 5149408 5392363 EPSG:900913:24 7825787 8465711 10298816 10784727 EPSG:900913:25 15651575 16931423 20597633 21569455 EPSG:900913:26 31303151 33862847 41195266 43138911 EPSG:900913:27 62606303 67725694 82390533 86277822 EPSG:900913:28 125212606 135451388 164781067 172555645 EPSG:900913:29 250425213 270902777 329562134 345111290 EPSG:900913:30 500850427 541805555 659124269 690222580 Flood prone areas 2020 This layer shows flood prone areas derived from radar images (Sentinel 1) and optical images (Sentinel 2, Landsat, and Maxar VHR images) acquired during the period 2018-2020. The analysis was performed by FAO Somalia Water and Land Information Management (SWALIM). 42.07852136906297 -0.267397575126267 45.74236120600489 5.019687921174807 geonode:som_flood_prone_areas_20200 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 642 11 995 1025 1263 1284 12 1990 2051 2526 2568 13 3981 4102 5053 5136 14 7963 8204 10107 10273 15 15926 16408 20214 20547 16 31853 32816 40428 41095 17 63706 65633 80856 82190 18 127412 131266 161712 164380 19 254824 262533 323425 328761 20 509648 525066 646850 657522 21 1019296 1050133 1293701 1315044 22 2038593 2100267 2587402 2630089 23 4077186 4200534 5174804 5260178 24 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642 EPSG:4326x2:10 483 513 1263 1284 EPSG:4326x2:11 966 1027 2526 2568 EPSG:4326x2:12 1933 2054 5053 5136 EPSG:4326x2:13 3867 4108 10107 10273 EPSG:4326x2:14 7735 8216 20214 20547 EPSG:4326x2:15 15470 16432 40428 41095 EPSG:4326x2:16 30940 32865 80856 82190 EPSG:4326x2:17 61880 65730 161712 164380 EPSG:4326x2:18 123761 131461 323425 328761 EPSG:4326x2:19 247523 262922 646850 657522 EPSG:4326x2:20 495046 525845 1293701 1315044 EPSG:4326x2:21 990092 1051691 2587402 2630089 Status of River Breakages Along Juba and Shabelle Rivers - Issued March 2021 Along the Juba River, 46 open points, 8 overflows and another 65 potential overflows were identified. The Juba River assessment also identified over 100 potential breakage points. Further, the team have identified 57 open points, 225 overflows and 74 potential overflows along the Shabelle River. These points need immediate closure or reinforcement before the Gu rainy season which is expected to start in Mid-April 2021.\r\n\r\nIt is worth noting that due to limited availability of VHR images, there has been a delay in completing the assessment of Shabelle River breakages. FAO SWALIM is in the process of procuring images to cover the assessment gap and partners will be notified once the finalized product is ready. 42.06809008 -0.07097 45.6786699999998 4.89294 geonode:river_juba_shabelle_breakages_feb_2021 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2048 2526 2567 13 3984 4097 5053 5135 14 7969 8195 10106 10270 15 15938 16390 20213 20541 16 31876 32780 40426 41083 17 63752 65561 80852 82167 18 127504 131123 161705 164334 19 255009 262247 323410 328668 20 510018 524494 646820 657336 21 1020037 1048989 1293640 1314673 22 2040075 2097978 2587280 2629347 23 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EPSG:900913:21 1020037 1048989 1293640 1314673 EPSG:900913:22 2040075 2097978 2587280 2629347 EPSG:900913:23 4080151 4195957 5174561 5258694 EPSG:900913:24 8160302 8391915 10349123 10517388 EPSG:900913:25 16320605 16783830 20698246 21034776 EPSG:900913:26 32641211 33567661 41396492 42069553 EPSG:900913:27 65282422 67135323 82792984 84139106 EPSG:900913:28 130564844 134270647 165585969 168278213 EPSG:900913:29 261129689 268541294 331171939 336556426 EPSG:900913:30 522259379 537082588 662343878 673112852 Som Lower Juba Agrimask 29062021WGS This classification was done using LCCS3 legend as a framework for classifying agriculture. LCCS3 is the last version of the Land Cover Classification System (LCCS) developed by FAO and UNEP in 1998 to facilitate the understanding of theclasses of land cover regardless of the scale of mapping, the type of coverage,method of data collection, or geographic location.Sentinel 2 images were downloaded and segmented using ecognition software.The segments were then classified using LCCS legend.During the classification, photo keys of different agricultural classes created on google earth was used as visual verification of class types before classification, given that sentinel 2 images has a resolution of 30m and therefore not clear enough to visually detect differences between classes.In additon , High Resolution Google and Esri satellite basemaps were used for verification.The scale of editing and digitization of polygons was 1:10000 41.43766487200001 -1.661864938999972 42.900848905000004 0.892129105000014 geonode:som_lower_juba_agrimask_29062021wgs_ other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 78 79 8 127 129 157 158 9 254 258 314 317 10 509 516 629 634 11 1018 1033 1259 1268 12 2037 2066 2519 2536 13 4075 4133 5038 5072 14 8151 8267 10077 10144 15 16302 16535 20155 20288 16 32605 33070 40311 40577 17 65211 66141 80622 81155 18 130422 132282 161245 162311 19 260844 264564 322491 324622 20 521689 529129 644983 649245 21 1043378 1058258 1289967 1298491 22 2086757 2116516 2579935 2596983 23 4173515 4233033 5159871 5193966 24 8347030 8466067 10319743 10387932 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 78 79 8 127 129 157 158 9 254 258 314 317 10 509 516 629 634 11 1018 1033 1259 1268 12 2037 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EPSG:900913x2:25 16694060 16932134 20639486 20775864 EPSG:900913x2:26 33388120 33864269 41278972 41551729 EPSG:900913x2:27 66776240 67728539 82557945 83103459 EPSG:900913x2:28 133552481 135457078 165115890 166206919 EPSG:900913x2:29 267104962 270914156 330231780 332413839 EPSG:900913x2:30 534209925 541828312 660463561 664827678 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 78 79 EPSG:4326x2:7 63 65 157 158 EPSG:4326x2:8 126 130 314 317 EPSG:4326x2:9 253 260 629 634 EPSG:4326x2:10 506 521 1259 1268 EPSG:4326x2:11 1013 1042 2519 2536 EPSG:4326x2:12 2027 2085 5038 5072 EPSG:4326x2:13 4055 4171 10077 10144 EPSG:4326x2:14 8110 8343 20155 20288 EPSG:4326x2:15 16221 16686 40311 40577 EPSG:4326x2:16 32443 33373 80622 81155 EPSG:4326x2:17 64886 66746 161245 162311 EPSG:4326x2:18 129772 133492 322491 324622 EPSG:4326x2:19 259545 266984 644983 649245 EPSG:4326x2:20 519090 533969 1289967 1298491 EPSG:4326x2:21 1038181 1067938 2579935 2596983 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 78 79 EPSG:900913:8 127 129 157 158 EPSG:900913:9 254 258 314 317 EPSG:900913:10 509 516 629 634 EPSG:900913:11 1018 1033 1259 1268 EPSG:900913:12 2037 2066 2519 2536 EPSG:900913:13 4075 4133 5038 5072 EPSG:900913:14 8151 8267 10077 10144 EPSG:900913:15 16302 16535 20155 20288 EPSG:900913:16 32605 33070 40311 40577 EPSG:900913:17 65211 66141 80622 81155 EPSG:900913:18 130422 132282 161245 162311 EPSG:900913:19 260844 264564 322491 324622 EPSG:900913:20 521689 529129 644983 649245 EPSG:900913:21 1043378 1058258 1289967 1298491 EPSG:900913:22 2086757 2116516 2579935 2596983 EPSG:900913:23 4173515 4233033 5159871 5193966 EPSG:900913:24 8347030 8466067 10319743 10387932 EPSG:900913:25 16694060 16932134 20639486 20775864 EPSG:900913:26 33388120 33864269 41278972 41551729 EPSG:900913:27 66776240 67728539 82557945 83103459 EPSG:900913:28 133552481 135457078 165115890 166206919 EPSG:900913:29 267104962 270914156 330231780 332413839 EPSG:900913:30 534209925 541828312 660463561 664827678 Agri-Suitability of Citrus in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Citrus in selected areas in southern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_land_agrisuitability_citrus_s_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 120 128 315 321 EPSG:4326:9 241 256 631 643 EPSG:4326:10 483 513 1262 1286 EPSG:4326:11 966 1027 2524 2573 EPSG:4326:12 1932 2054 5049 5146 EPSG:4326:13 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262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Tomato Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for tomato cultivation across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching crop requirements with environmental conditions. A national land database was developed by integrating: Somalia soil map (250,000 scale) SoilGrids global soil data (250 m resolution, machine learning-based) Climate data (temperature and rainfall) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) for slope, elevation, and aspect Each land unit was characterized using parameters such as soil texture, pH, salinity, organic carbon, rooting depth, slope, rainfall, and temperature. A matching table approach was applied, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Parameters were weighted and aggregated into a final suitability index The final suitability classes derived were: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Tomato suitability is strongly influenced by soil drainage, salinity, and temperature conditions, which act as key limiting factors in several regions. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (temperature and rainfall) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_tomato_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 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EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Soil_100K_N_FAOSWALIM This dataset is about a semi detailed soil map at a scale of 1:100,000 for Dur Dur and Gibeley areas in north Somalia 43.01101391000003 9.166527244000065 44.46210107700006 10.689734255000076 geonode:soil_100k_n_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299133 1307586 22 1971878 1989895 2598266 2615173 23 3943757 3979791 5196533 5230346 24 7887514 7959582 10393066 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 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2615173 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 4 EPSG:900913x2:4 7 7 9 9 EPSG:900913x2:5 15 15 19 19 EPSG:900913x2:6 30 30 39 39 EPSG:900913x2:7 60 60 79 79 EPSG:900913x2:8 120 121 158 159 EPSG:900913x2:9 240 242 317 319 EPSG:900913x2:10 481 485 634 638 EPSG:900913x2:11 962 971 1268 1276 EPSG:900913x2:12 1925 1943 2537 2553 EPSG:900913x2:13 3851 3886 5074 5107 EPSG:900913x2:14 7702 7773 10149 10215 EPSG:900913x2:15 15405 15546 20298 20431 EPSG:900913x2:16 30810 31092 40597 40862 EPSG:900913x2:17 61621 62184 81195 81724 EPSG:900913x2:18 123242 124368 162391 163448 EPSG:900913x2:19 246484 248736 324783 326896 EPSG:900913x2:20 492969 497473 649566 653793 EPSG:900913x2:21 985939 994947 1299133 1307586 EPSG:900913x2:22 1971878 1989895 2598266 2615173 EPSG:900913x2:23 3943757 3979791 5196533 5230346 EPSG:900913x2:24 7887514 7959582 10393066 10460692 EPSG:900913x2:25 15775029 15919165 20786133 20921384 EPSG:900913x2:26 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EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299133 1307586 EPSG:900913:22 1971878 1989895 2598266 2615173 EPSG:900913:23 3943757 3979791 5196533 5230346 EPSG:900913:24 7887514 7959582 10393066 10460692 EPSG:900913:25 15775029 15919165 20786133 20921384 EPSG:900913:26 31550058 31838331 41572266 41842768 EPSG:900913:27 63100117 63676662 83144532 83685536 EPSG:900913:28 126200235 127353324 166289064 167371073 EPSG:900913:29 252400470 254706648 332578128 334742146 EPSG:900913:30 504800941 509413296 665156257 669484293 Status of River Breakages along Juba and Shabelle Rivers - Issued March 2025 FAO-SWALIM has updated the status of the river breakages along the Juba and Shabelle Rivers using available Very High Resolution (VHR) satellite imagery and a Digital Elevation Model (DEM). Five types of breakages have been identified; Open, Overflow, Canal Breakage, Canal Intake Flooding and Closed with sandbags. The open breakages are those that are currently open as observed on the latest VHR image available. All the observations reported refers to the latest suitable VHR satellite image available, which is indicated in the online database. A legend/Key for further explanation of the different types of breakages is provided.\r\n\r\nAlong the Shabelle river, a total of 98 Open breakage points, 2 Canal Breakages, 56 Canal flooding points, 94 Overflow points and 5 points closed with sandbags have been identified while on the Juba river 109 Open points, 1 Canal Breakage, 20 Canal flooding points, 87 Overflow points and 1 point closed with sandbags have been identified. Users are advised that the methodology is biased towards Remote Sensing (RS) interpretation with only limited “ground truthing” due to access constraints. Open breakages might have been omitted in some cases where satellite images may not have been very clear (e.g. heavy cloud cover) or were not available. For questions or further clarifications related to the reports, you can contact us by sending an email to SWALIM@fao.org. 42.06270899 -0.09636627 45.67867 4.89294 geonode:som_juba_shabelle_river_breakages_march_2025 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2049 2526 2567 13 3984 4098 5053 5135 14 7969 8196 10106 10270 15 15938 16392 20212 20541 16 31876 32785 40425 41083 17 63752 65571 80850 82167 18 127504 131142 161701 164334 19 255009 262284 323402 328668 20 510018 524568 646804 657336 21 1020037 1049137 1293609 1314673 22 2040075 2098274 2587218 2629347 23 4080151 4196549 5174436 5258694 24 8160302 8393098 10348872 10517388 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 249 256 315 320 10 498 512 631 641 11 996 1024 1263 1283 12 1992 2049 2526 2567 13 3984 4098 5053 5135 14 7969 8196 10106 10270 15 15938 16392 20212 20541 16 31876 32785 40425 41083 17 63752 65571 80850 82167 18 127504 131142 161701 164334 19 255009 262284 323402 328668 20 510018 524568 646804 657336 21 1020037 1049137 1293609 1314673 22 2040075 2098274 2587218 2629347 23 4080151 4196549 5174436 5258694 24 8160302 8393098 10348872 10517388 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 121 128 315 320 EPSG:4326:9 242 256 631 641 EPSG:4326:10 484 512 1263 1283 EPSG:4326:11 968 1025 2526 2567 EPSG:4326:12 1936 2050 5053 5135 EPSG:4326:13 3873 4100 10106 10270 EPSG:4326:14 7746 8200 20212 20541 EPSG:4326:15 15493 16401 40425 41083 EPSG:4326:16 30986 32803 80850 82167 EPSG:4326:17 61973 65606 161701 164334 EPSG:4326:18 123946 131212 323402 328668 EPSG:4326:19 247892 262424 646804 657336 EPSG:4326:20 495784 524849 1293609 1314673 EPSG:4326:21 991569 1049698 2587218 2629347 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 249 256 315 320 EPSG:900913x2:10 498 512 631 641 EPSG:900913x2:11 996 1024 1263 1283 EPSG:900913x2:12 1992 2049 2526 2567 EPSG:900913x2:13 3984 4098 5053 5135 EPSG:900913x2:14 7969 8196 10106 10270 EPSG:900913x2:15 15938 16392 20212 20541 EPSG:900913x2:16 31876 32785 40425 41083 EPSG:900913x2:17 63752 65571 80850 82167 EPSG:900913x2:18 127504 131142 161701 164334 EPSG:900913x2:19 255009 262284 323402 328668 EPSG:900913x2:20 510018 524568 646804 657336 EPSG:900913x2:21 1020037 1049137 1293609 1314673 EPSG:900913x2:22 2040075 2098274 2587218 2629347 EPSG:900913x2:23 4080151 4196549 5174436 5258694 EPSG:900913x2:24 8160302 8393098 10348872 10517388 EPSG:900913x2:25 16320605 16786197 20697744 21034776 EPSG:900913x2:26 32641211 33572395 41395489 42069553 EPSG:900913x2:27 65282422 67144791 82790978 84139106 EPSG:900913x2:28 130564844 134289583 165581957 168278213 EPSG:900913x2:29 261129689 268579167 331163914 336556426 EPSG:900913x2:30 522259379 537158335 662327828 673112852 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 249 256 315 320 EPSG:900913:10 498 512 631 641 EPSG:900913:11 996 1024 1263 1283 EPSG:900913:12 1992 2049 2526 2567 EPSG:900913:13 3984 4098 5053 5135 EPSG:900913:14 7969 8196 10106 10270 EPSG:900913:15 15938 16392 20212 20541 EPSG:900913:16 31876 32785 40425 41083 EPSG:900913:17 63752 65571 80850 82167 EPSG:900913:18 127504 131142 161701 164334 EPSG:900913:19 255009 262284 323402 328668 EPSG:900913:20 510018 524568 646804 657336 EPSG:900913:21 1020037 1049137 1293609 1314673 EPSG:900913:22 2040075 2098274 2587218 2629347 EPSG:900913:23 4080151 4196549 5174436 5258694 EPSG:900913:24 8160302 8393098 10348872 10517388 EPSG:900913:25 16320605 16786197 20697744 21034776 EPSG:900913:26 32641211 33572395 41395489 42069553 EPSG:900913:27 65282422 67144791 82790978 84139106 EPSG:900913:28 130564844 134289583 165581957 168278213 EPSG:900913:29 261129689 268579167 331163914 336556426 EPSG:900913:30 522259379 537158335 662327828 673112852 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 121 128 315 320 EPSG:4326x2:9 242 256 631 641 EPSG:4326x2:10 484 512 1263 1283 EPSG:4326x2:11 968 1025 2526 2567 EPSG:4326x2:12 1936 2050 5053 5135 EPSG:4326x2:13 3873 4100 10106 10270 EPSG:4326x2:14 7746 8200 20212 20541 EPSG:4326x2:15 15493 16401 40425 41083 EPSG:4326x2:16 30986 32803 80850 82167 EPSG:4326x2:17 61973 65606 161701 164334 EPSG:4326x2:18 123946 131212 323402 328668 EPSG:4326x2:19 247892 262424 646804 657336 EPSG:4326x2:20 495784 524849 1293609 1314673 EPSG:4326x2:21 991569 1049698 2587218 2629347 Charcoal Sites (2014-2016) The dataset shows the dynamics of charcoal production in Somalia from 2014 to 2016.Multi-temporal dataset of very high-resolution remote sensing images such as WorldView-1, 2 and 3 were used to map kiln locations in the study area. The acquisition dates of the images range from 2014 to 2016. Charcoal production sites can be seen on satellite images as dark round/ almost round patches. Many small tracks/ paths are a common feature at these sites. They are used for access and transport. The average radius of the kilns is 3.3m but some are as big as 6m in radius.Multi temporal analysis of vhr images reveals a tremendous increase of charcoal sites over the years. 41.19563669400003 -1.575587621999944 43.16099484100005 1.207521358000065 geonode:ch_2014_20160 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 78 79 8 127 129 157 158 9 254 258 314 317 10 508 516 629 634 11 1017 1032 1258 1269 12 2034 2065 2516 2539 13 4068 4131 5033 5078 14 8137 8263 10066 10156 15 16274 16527 20133 20312 16 32548 33054 40267 40625 17 65096 66109 80534 81250 18 130192 132219 161069 162500 19 260385 264438 322139 325001 20 520770 528877 644278 650003 21 1041541 1057755 1288557 1300007 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EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 time 2003-01-01T00:00:00Z 2003-01-01T00:00:00.000Z 2004-01-01T00:00:00.000Z 2005-01-01T00:00:00.000Z 2006-01-01T00:00:00.000Z 2007-01-01T00:00:00.000Z 2008-01-01T00:00:00.000Z 2009-01-01T00:00:00.000Z 2010-01-01T00:00:00.000Z 2011-01-01T00:00:00.000Z 2012-01-01T00:00:00.000Z 2013-01-01T00:00:00.000Z 2014-01-01T00:00:00.000Z 2015-01-01T00:00:00.000Z 2016-01-01T00:00:00.000Z 2017-01-01T00:00:00.000Z 2018-01-01T00:00:00.000Z 2019-01-01T00:00:00.000Z 2020-01-01T00:00:00.000Z 2021-01-01T00:00:00.000Z 2022-01-01T00:00:00.000Z 2023-01-01T00:00:00.000Z 2024-01-01T00:00:00.000Z Mean Annual Negative Groundwater Storage Anomalies Multi-annual 2003-2024 Average groundwater anomalies were also calculated for both positive and negative anomalies. Both sets of results show the same spatial distribution pattern, with the highest and lowest anomalies values located along the Al Madow Mountain range (in the Karkaar Mountains, north) and the Jubba and Shabelle rivers lower course (south). In the former, this spatial coincidence can be explained by higher precipitation values, whereas in the latter it is attributed to a strong interaction between surface and subsurface water systems. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanannualnegativegrou other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 1061686 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EPSG:900913:13 3809 4147 5017 5279 EPSG:900913:14 7618 8294 10035 10558 EPSG:900913:15 15237 16588 20070 21117 EPSG:900913:16 30474 33177 40140 42234 EPSG:900913:17 60948 66355 80281 84468 EPSG:900913:18 121896 132710 160563 168937 EPSG:900913:19 243793 265421 321126 337874 EPSG:900913:20 487586 530843 642252 675748 EPSG:900913:21 975173 1061686 1284505 1351497 EPSG:900913:22 1950347 2123373 2569011 2702995 EPSG:900913:23 3900694 4246746 5138022 5405991 EPSG:900913:24 7801388 8493492 10276044 10811983 EPSG:900913:25 15602777 16986985 20552089 21623967 EPSG:900913:26 31205555 33973970 41104179 43247934 EPSG:900913:27 62411110 67947940 82208358 86495869 EPSG:900913:28 124822221 135895880 164416716 172991738 EPSG:900913:29 249644443 271791761 328833433 345983476 EPSG:900913:30 499288886 543583523 657666867 691966953 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 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For more information about the data, visit --> https://wiki.openstreetmap.org/wiki/Tag:waterway%3Driver 40.989100816752085 -1.329330978168852 51.3211743 11.9604277 geonode:som_drainage_network_extracted_from_osm other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 955 1031 1257 1315 12 1910 2063 2514 2631 13 3821 4126 5028 5263 14 7643 8252 10057 10527 15 15287 16505 20114 21055 16 30574 33010 40229 42110 17 61149 66020 80459 84221 18 122298 132040 160919 168442 19 244597 264080 321838 336885 20 489194 528160 643677 673771 21 978389 1056320 1287354 1347543 22 1956779 2112641 2574709 2695087 23 3913559 4225282 5149419 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1056320 1287354 1347543 EPSG:900913:22 1956779 2112641 2574709 2695087 EPSG:900913:23 3913559 4225282 5149419 5390174 EPSG:900913:24 7827118 8450564 10298838 10780348 EPSG:900913:25 15654237 16901129 20597677 21560696 EPSG:900913:26 31308475 33802259 41195354 43121392 EPSG:900913:27 62616950 67604518 82390708 86242784 EPSG:900913:28 125233900 135209037 164781416 172485569 EPSG:900913:29 250467801 270418075 329562833 344971138 EPSG:900913:30 500935603 540836151 659125667 689942276 Somalia Prewar Rainfall Stations (1963-1990) The data is about pre-war 1963 - 1990 Somalia rainfall record stations. 42.06000000000006 -0.359999999999957 51.25000000000006 11.960000000000036 geonode:som_prewar_rain_stations_1963_1990_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json 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2587186 2694257 Relief_NW_FAOSWALIM This data is about Somalia relief and landscape which represents information about elevations and landforms of north western part of Somalia. Data on topography from NASA SRTM 90 m. 43.01092683100006 9.16651315200005 44.46210397400006 10.689748205000058 geonode:relief_nw_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61621 62184 81195 81724 18 123242 124368 162391 163448 19 246484 248736 324783 326896 20 492969 497473 649566 653793 21 985939 994947 1299132 1307586 22 1971878 1989895 2598265 2615173 23 3943757 3979791 5196531 5230346 24 7887514 7959583 10393062 10460692 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 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EPSG:4326x2:17 57751 58861 162391 163448 EPSG:4326x2:18 115503 117722 324783 326896 EPSG:4326x2:19 231007 235444 649566 653793 EPSG:4326x2:20 462015 470889 1299132 1307586 EPSG:4326x2:21 924031 941778 2598265 2615173 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 4 EPSG:900913:4 7 7 9 9 EPSG:900913:5 15 15 19 19 EPSG:900913:6 30 30 39 39 EPSG:900913:7 60 60 79 79 EPSG:900913:8 120 121 158 159 EPSG:900913:9 240 242 317 319 EPSG:900913:10 481 485 634 638 EPSG:900913:11 962 971 1268 1276 EPSG:900913:12 1925 1943 2537 2553 EPSG:900913:13 3851 3886 5074 5107 EPSG:900913:14 7702 7773 10149 10215 EPSG:900913:15 15405 15546 20298 20431 EPSG:900913:16 30810 31092 40597 40862 EPSG:900913:17 61621 62184 81195 81724 EPSG:900913:18 123242 124368 162391 163448 EPSG:900913:19 246484 248736 324783 326896 EPSG:900913:20 492969 497473 649566 653793 EPSG:900913:21 985939 994947 1299132 1307586 EPSG:900913:22 1971878 1989895 2598265 2615173 EPSG:900913:23 3943757 3979791 5196531 5230346 EPSG:900913:24 7887514 7959583 10393062 10460692 EPSG:900913:25 15775028 15919166 20786124 20921384 EPSG:900913:26 31550056 31838333 41572249 41842768 EPSG:900913:27 63100112 63676667 83144499 83685537 EPSG:900913:28 126200224 127353334 166288999 167371075 EPSG:900913:29 252400449 254706669 332577999 334742151 EPSG:900913:30 504800899 509413338 665155998 669484302 FABDEM v1.2 – Hillshade (30 m) The hillshade dataset derived from FABDEM v1.2 is a shaded relief representation of the terrain generated from the Forest and Buildings Removed Digital Elevation Model at approximately 30-metre spatial resolution. Hillshade simulates the effect of illumination on the land surface by applying an artificial light source defined by a specific sun azimuth and altitude, enhancing the visual interpretation of topographic features. Using FABDEM as the input DEM ensures that the hillshade emphasizes true terrain morphology by minimizing distortions caused by vegetation and buildings. The resulting product provides a clear and realistic visualization of landforms such as ridges, valleys, plains, escarpments, and drainage patterns. Hillshade is primarily intended as a cartographic and visualization layer and is widely used as a base map to support the interpretation of other spatial datasets, including hydrology, land cover, infrastructure, and hazard maps. While not typically used for quantitative analysis, it plays a critical role in terrain understanding, map communication, and decision support. 39.89894138948103 -2.093455891025119 52.182792484769394 12.096925576554675 geonode:SOM_FABDEM_HILLSHADE-z2_V1_2_alb_m_4326 other other other other text/xml other other other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 165 9 238 258 312 330 10 477 517 625 660 11 954 1035 1250 1320 12 1909 2071 2501 2641 13 3818 4143 5003 5283 14 7637 8287 10007 10566 15 15274 16574 20015 21133 16 30549 33149 40031 42267 17 61098 66298 80062 84535 18 122197 132596 160125 169070 19 244394 265193 320251 338140 20 488788 530386 640502 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13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 165 EPSG:4326x2:8 110 130 312 330 EPSG:4326x2:9 221 261 625 660 EPSG:4326x2:10 443 523 1250 1320 EPSG:4326x2:11 886 1047 2501 2641 EPSG:4326x2:12 1772 2095 5003 5283 EPSG:4326x2:13 3545 4191 10007 10566 EPSG:4326x2:14 7090 8382 20015 21133 EPSG:4326x2:15 14181 16765 40031 42267 EPSG:4326x2:16 28363 33530 80062 84535 EPSG:4326x2:17 56727 67060 160125 169070 EPSG:4326x2:18 113454 134120 320251 338140 EPSG:4326x2:19 226909 268241 640502 676281 EPSG:4326x2:20 453818 536483 1281004 1352562 EPSG:4326x2:21 907636 1072966 2562008 2705125 Jun - Aug Aggregated mean seasonal groundwater storage balance (2003-2024) Mean seasonal distribution of groundwater storage balance across Somalia for the period 2003–2024 for Jun-Aug. The seasonal evolution of the groundwater storage balance closely follows the country's climatic patterns. During the dry seasons (Jilaal and Xagaa), the groundwater storage balance is generally negative, particularly in the central and southern regions. This is consistent with the low precipitation observed in the same months. Notably, the lower courses of the Shabelle and Jubba rivers exhibit strong negative balances between June and August, which may suggest that groundwater is sustaining baseflow during the dry period. In contrast, the Gu season leads to significant improvements in groundwater storage balance across southern and central Somalia, where the southwest monsoon brings the heaviest rainfall. However, the northeastern coast maintains a neutral to slightly negative balance, due to relatively lower precipitation. During Deyr, groundwater storage balance starts to recover in the central and southern areas, likely driven by river recharge and increased infiltration from the rainfall of this shorter rainy season. 40.5 -2.25 52.0 12.5 geonode:gdawater_groundwaterresourcesestimation_meanseason5efb14924de3 other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 164 9 238 259 313 329 10 476 518 627 659 11 952 1036 1254 1319 12 1904 2073 2508 2639 13 3809 4147 5017 5279 14 7618 8294 10035 10558 15 15237 16588 20070 21117 16 30474 33177 40140 42234 17 60948 66355 80281 84468 18 121896 132710 160563 168937 19 243793 265421 321126 337874 20 487586 530843 642252 675748 21 975173 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78 82 EPSG:4326x2:7 55 65 156 164 EPSG:4326x2:8 110 131 313 329 EPSG:4326x2:9 220 262 627 659 EPSG:4326x2:10 440 524 1254 1319 EPSG:4326x2:11 881 1049 2508 2639 EPSG:4326x2:12 1763 2099 5017 5279 EPSG:4326x2:13 3527 4198 10035 10558 EPSG:4326x2:14 7054 8396 20070 21117 EPSG:4326x2:15 14108 16793 40140 42234 EPSG:4326x2:16 28216 33587 80281 84468 EPSG:4326x2:17 56433 67174 160563 168937 EPSG:4326x2:18 112867 134348 321126 337874 EPSG:4326x2:19 225735 268697 642252 675748 EPSG:4326x2:20 451470 537395 1284505 1351497 EPSG:4326x2:21 902940 1074790 2569011 2702995 Oasis Farms in Puntland Oasis farming is very common in the northern part of Somalia. Crop production by irrigation from springs and well popularly known as Oasis farming the main sources of livelihood in these areas. 47.504318271000045 7.977103795000062 51.07687740700004 11.37182647000003 geonode:som_landcover_oasisfarms_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 14 15 20 20 6 29 30 40 41 7 59 61 80 82 8 119 122 161 164 9 239 244 323 328 10 479 489 647 657 11 958 978 1294 1314 12 1917 1956 2588 2629 13 3835 3913 5176 5258 14 7671 7827 10353 10516 15 15342 15655 20707 21033 16 30684 31311 41415 42066 17 61368 62622 82831 84132 18 122736 125244 165663 168265 19 245472 250488 331327 336530 20 490945 500977 662654 673060 21 981891 1001955 1325308 1346120 22 1963782 2003910 2650617 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EPSG:900913:14 7671 7827 10353 10516 EPSG:900913:15 15342 15655 20707 21033 EPSG:900913:16 30684 31311 41415 42066 EPSG:900913:17 61368 62622 82831 84132 EPSG:900913:18 122736 125244 165663 168265 EPSG:900913:19 245472 250488 331327 336530 EPSG:900913:20 490945 500977 662654 673060 EPSG:900913:21 981891 1001955 1325308 1346120 EPSG:900913:22 1963782 2003910 2650617 2692240 EPSG:900913:23 3927564 4007820 5301234 5384481 EPSG:900913:24 7855128 8015641 10602469 10768963 EPSG:900913:25 15710256 16031282 21204939 21537926 EPSG:900913:26 31420513 32062564 42409878 43075852 EPSG:900913:27 62841026 64125129 84819757 86151704 EPSG:900913:28 125682053 128250258 169639515 172303408 EPSG:900913:29 251364107 256500516 339279030 344606816 EPSG:900913:30 502728214 513001032 678558060 689213632 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 6 7 20 20 EPSG:4326x2:5 13 14 40 41 EPSG:4326x2:6 27 29 80 82 EPSG:4326x2:7 55 58 161 164 EPSG:4326x2:8 111 116 323 328 EPSG:4326x2:9 223 233 647 657 EPSG:4326x2:10 447 466 1294 1314 EPSG:4326x2:11 894 933 2588 2629 EPSG:4326x2:12 1789 1866 5176 5258 EPSG:4326x2:13 3578 3732 10353 10516 EPSG:4326x2:14 7156 7465 20707 21033 EPSG:4326x2:15 14313 14931 41415 42066 EPSG:4326x2:16 28627 29863 82831 84132 EPSG:4326x2:17 57255 59727 165663 168265 EPSG:4326x2:18 114510 119454 331327 336530 EPSG:4326x2:19 229021 238909 662654 673060 EPSG:4326x2:20 458042 477818 1325308 1346120 EPSG:4326x2:21 916084 955636 2650617 2692240 Maize Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_maize_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 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classes were created using the Land Cover Classification System (LCSS) of FAO, Landsat satellite image interpretation, and field validation. 48.01002796000006 7.058458920000021 49.411575320000054 9.907768245000057 geonode:landcover_ne_2007 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 30 30 40 40 7 60 61 81 81 8 120 122 162 163 9 241 245 324 326 10 483 491 648 652 11 967 983 1297 1305 12 1934 1967 2594 2610 13 3869 3934 5188 5220 14 7738 7869 10376 10440 15 15477 15739 20753 20881 16 30955 31479 41507 41763 17 61910 62959 83015 83526 18 123821 125919 166031 167052 19 247642 251838 332063 334104 20 495284 503676 664127 668209 21 990569 1007353 1328254 1336419 22 1981138 2014706 2656509 2672838 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117 324 326 EPSG:4326x2:9 227 235 648 652 EPSG:4326x2:10 455 471 1297 1305 EPSG:4326x2:11 911 943 2594 2610 EPSG:4326x2:12 1822 1887 5188 5220 EPSG:4326x2:13 3645 3774 10376 10440 EPSG:4326x2:14 7290 7549 20753 20881 EPSG:4326x2:15 14580 15099 41507 41763 EPSG:4326x2:16 29160 30198 83015 83526 EPSG:4326x2:17 58321 60396 166031 167052 EPSG:4326x2:18 116642 120792 332063 334104 EPSG:4326x2:19 233285 241584 664127 668209 EPSG:4326x2:20 466571 483169 1328254 1336419 EPSG:4326x2:21 933142 966338 2656509 2672838 Somalia Regional Capitals DATA AND INFORMATION MANAGEMENT UNIT (DIMU) ORGANIZATION: UNITED NATIONS DEVELOPMENT PROGRAMME (UNDP SOMALIA) MODIFIED BY: DATA AND INFORMATION MANAGEMENT UNIT UNDP SOMALIA MODIFICATION DATES: 22/03/2001 The settlements where digitized from Somalia topographic maps at a scale of 1: 100,000. The maps were produced by stereo photography using aerial photography 1974.Printed 1976 by Bureau of cartography, Ministry of Defence, Somalia Democratic government. Reprinted by Canadian Forces Mapping and Charting Establishment from reprographic material of native Somalia mapping by the British Director of Military Survey. Other settlements were collated from gazetteer data ( Defense Mapping Agency USA) and UNDOS, populations surveys 1997/98 of N.W Somalia- Middle and lower Shabelle. STATUS COMPLETE TABLES SOURCE: DATA AND INFORMATION MANAGEMENT UNIT UNDP SOMALIA SOURCE PUBLICATION DATE: 2000 ATTRIBUTE RELIABILITY: Good STATUS: COMPLETE FIELDS DESCRIPTION SETT_ID Internal Feature Number HUTS Number of huts in a settlement HOUSES Number of houses in a settlement NAME Name of the settlement PCODE Alphanumeric coding system for coding the settlements based on the region and district they belong to. CODE Code assigned to the settlements to classify them. Code definition 1 = Settlement 5 = Other town 10 = District town 100 = Regional Capital 1000 = Capital town REG_CODE Codes assigned to the regions. From 1 to 17 REGION Name of the region DISTRICT Name of the district SOURCE Source of the settlement either gazetteer, topomap or survey. PPRWARES Population pre-war estimated using number of nomadic huts. PPRWANS Population pre-war estimated using number of houses. TOP_POP Population from the topomaps. SUR_POP Field Survey populations. X COOD X coordinate of the settlement or the easting Y COOD Y coordinate of the settlement or the northing. 42.219879150000054 -0.360289990999945 49.18062973000008 11.28365993500006 geonode:som_regional_capitals other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 40 7 59 64 79 81 8 119 128 158 162 9 239 256 316 325 10 479 513 632 651 11 959 1026 1264 1303 12 1918 2052 2528 2607 13 3837 4104 5056 5215 14 7675 8208 10113 10430 15 15350 16416 20226 20860 16 30700 32833 40453 41721 17 61400 65667 80907 83442 18 122801 131334 161815 166884 19 245603 262668 323631 333768 20 491207 525337 647262 667536 21 982414 1050674 1294524 1335073 22 1964829 2101349 2589049 2670147 23 3929659 4202699 5178098 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EPSG:900913:15 15350 16416 20226 20860 EPSG:900913:16 30700 32833 40453 41721 EPSG:900913:17 61400 65667 80907 83442 EPSG:900913:18 122801 131334 161815 166884 EPSG:900913:19 245603 262668 323631 333768 EPSG:900913:20 491207 525337 647262 667536 EPSG:900913:21 982414 1050674 1294524 1335073 EPSG:900913:22 1964829 2101349 2589049 2670147 EPSG:900913:23 3929659 4202699 5178098 5340295 EPSG:900913:24 7859318 8405398 10356196 10680591 EPSG:900913:25 15718637 16810797 20712393 21361182 EPSG:900913:26 31437275 33621595 41424787 42722365 EPSG:900913:27 62874550 67243190 82849575 85444731 EPSG:900913:28 125749101 134486381 165699151 170889463 EPSG:900913:29 251498203 268972762 331398303 341778926 EPSG:900913:30 502996406 537945525 662796606 683557853 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 40 EPSG:4326x2:6 27 32 79 81 EPSG:4326x2:7 55 64 158 162 EPSG:4326x2:8 111 128 316 325 EPSG:4326x2:9 223 257 632 651 EPSG:4326x2:10 447 514 1264 1303 EPSG:4326x2:11 895 1028 2528 2607 EPSG:4326x2:12 1791 2056 5056 5215 EPSG:4326x2:13 3582 4112 10113 10430 EPSG:4326x2:14 7164 8224 20226 20860 EPSG:4326x2:15 14329 16449 40453 41721 EPSG:4326x2:16 28659 32899 80907 83442 EPSG:4326x2:17 57319 65798 161815 166884 EPSG:4326x2:18 114638 131596 323631 333768 EPSG:4326x2:19 229277 263193 647262 667536 EPSG:4326x2:20 458555 526386 1294524 1335073 EPSG:4326x2:21 917111 1052773 2589049 2670147 Somalia Population - Population Estimation Survey (PESS) - 2014 Population Estimation Survey (PESS) gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire.PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data   40.98950576200008 -1.651552163999952 51.415153485000076 11.988532393000071 geonode:som_population_pess_2014 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16534 20114 21063 16 30569 33068 40229 42127 17 61138 66137 80459 84255 18 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EPSG:900913x2:16 30569 33068 40229 42127 EPSG:900913x2:17 61138 66137 80459 84255 EPSG:900913x2:18 122277 132274 160919 168511 EPSG:900913x2:19 244555 264549 321839 337022 EPSG:900913x2:20 489111 529099 643678 674045 EPSG:900913x2:21 978222 1058198 1287357 1348090 EPSG:900913x2:22 1956444 2116396 2574714 2696181 EPSG:900913x2:23 3912889 4232793 5149428 5392363 EPSG:900913x2:24 7825779 8465586 10298857 10784727 EPSG:900913x2:25 15651559 16931173 20597714 21569455 EPSG:900913x2:26 31303119 33862346 41195429 43138911 EPSG:900913x2:27 62606239 67724692 82390859 86277822 EPSG:900913x2:28 125212478 135449385 164781718 172555645 EPSG:900913x2:29 250424956 270898770 329563437 345111290 EPSG:900913x2:30 500849913 541797540 659126875 690222580 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8342 20114 21063 EPSG:4326x2:15 14201 16684 40229 42127 EPSG:4326x2:16 28403 33369 80459 84255 EPSG:4326x2:17 56806 66738 160919 168511 EPSG:4326x2:18 113612 133477 321839 337022 EPSG:4326x2:19 227224 266954 643678 674045 EPSG:4326x2:20 454449 533908 1287357 1348090 EPSG:4326x2:21 908899 1067817 2574714 2696181 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2066 2514 2632 EPSG:900913:13 3821 4133 5028 5265 EPSG:900913:14 7642 8267 10057 10531 EPSG:900913:15 15284 16534 20114 21063 EPSG:900913:16 30569 33068 40229 42127 EPSG:900913:17 61138 66137 80459 84255 EPSG:900913:18 122277 132274 160919 168511 EPSG:900913:19 244555 264549 321839 337022 EPSG:900913:20 489111 529099 643678 674045 EPSG:900913:21 978222 1058198 1287357 1348090 EPSG:900913:22 1956444 2116396 2574714 2696181 EPSG:900913:23 3912889 4232793 5149428 5392363 EPSG:900913:24 7825779 8465586 10298857 10784727 EPSG:900913:25 15651559 16931173 20597714 21569455 EPSG:900913:26 31303119 33862346 41195429 43138911 EPSG:900913:27 62606239 67724692 82390859 86277822 EPSG:900913:28 125212478 135449385 164781718 172555645 EPSG:900913:29 250424956 270898770 329563437 345111290 EPSG:900913:30 500849913 541797540 659126875 690222580 Banana Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_suitability_banana other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Grazing Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_grazing_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 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EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Sentinel2 ImageIndex Granule_Somalia Image Index: it contains feature classes that contain information about the path/row, scene boundaries and the geographic coordinates of the imageries acquired by satellites for Somalia. These indices help in identifying the numbers of images covering Somalia and are easy guides for identifying searching for the required images. 40.796693520000076 -1.896817942999974 52.01094843700008 12.664549599000054 geonode:som_sentinel2_imageindex_granule other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 118 129 157 164 9 237 258 314 329 10 475 517 628 659 11 951 1034 1256 1319 12 1902 2069 2512 2639 13 3805 4139 5024 5279 14 7610 8278 10048 10559 15 15221 16556 20097 21118 16 30443 33113 40194 42236 17 60886 66226 80389 84472 18 121773 132453 160779 168945 19 243547 264906 321558 337890 20 487095 529813 643116 675780 21 974191 1059627 1286233 1351561 22 1948382 2119255 2572467 2703123 23 3896765 4238511 5144935 5406246 24 7793531 8477022 10289871 10812493 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 118 129 157 164 9 237 258 314 329 10 475 517 628 659 11 951 1034 1256 1319 12 1902 2069 2512 2639 13 3805 4139 5024 5279 14 7610 8278 10048 10559 15 15221 16556 20097 21118 16 30443 33113 40194 42236 17 60886 66226 80389 84472 18 121773 132453 160779 168945 19 243547 264906 321558 337890 20 487095 529813 643116 675780 21 974191 1059627 1286233 1351561 22 1948382 2119255 2572467 2703123 23 3896765 4238511 5144935 5406246 24 7793531 8477022 10289871 10812493 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 54 65 157 164 EPSG:4326:8 109 130 314 329 EPSG:4326:9 219 261 628 659 EPSG:4326:10 439 522 1256 1319 EPSG:4326:11 879 1045 2512 2639 EPSG:4326:12 1759 2091 5024 5279 EPSG:4326:13 3519 4182 10048 10559 EPSG:4326:14 7039 8364 20097 21118 EPSG:4326:15 14078 16729 40194 42236 EPSG:4326:16 28156 33458 80389 84472 EPSG:4326:17 56313 66917 160779 168945 EPSG:4326:18 112627 133834 321558 337890 EPSG:4326:19 225255 267668 643116 675780 EPSG:4326:20 450511 535337 1286233 1351561 EPSG:4326:21 901023 1070675 2572467 2703123 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 118 129 157 164 EPSG:900913x2:9 237 258 314 329 EPSG:900913x2:10 475 517 628 659 EPSG:900913x2:11 951 1034 1256 1319 EPSG:900913x2:12 1902 2069 2512 2639 EPSG:900913x2:13 3805 4139 5024 5279 EPSG:900913x2:14 7610 8278 10048 10559 EPSG:900913x2:15 15221 16556 20097 21118 EPSG:900913x2:16 30443 33113 40194 42236 EPSG:900913x2:17 60886 66226 80389 84472 EPSG:900913x2:18 121773 132453 160779 168945 EPSG:900913x2:19 243547 264906 321558 337890 EPSG:900913x2:20 487095 529813 643116 675780 EPSG:900913x2:21 974191 1059627 1286233 1351561 EPSG:900913x2:22 1948382 2119255 2572467 2703123 EPSG:900913x2:23 3896765 4238511 5144935 5406246 EPSG:900913x2:24 7793531 8477022 10289871 10812493 EPSG:900913x2:25 15587063 16954044 20579743 21624987 EPSG:900913x2:26 31174126 33908089 41159486 43249975 EPSG:900913x2:27 62348252 67816178 82318973 86499951 EPSG:900913x2:28 124696505 135632356 164637947 172999902 EPSG:900913x2:29 249393010 271264712 329275895 345999804 EPSG:900913x2:30 498786021 542529425 658551790 691999608 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 54 65 157 164 EPSG:4326x2:8 109 130 314 329 EPSG:4326x2:9 219 261 628 659 EPSG:4326x2:10 439 522 1256 1319 EPSG:4326x2:11 879 1045 2512 2639 EPSG:4326x2:12 1759 2091 5024 5279 EPSG:4326x2:13 3519 4182 10048 10559 EPSG:4326x2:14 7039 8364 20097 21118 EPSG:4326x2:15 14078 16729 40194 42236 EPSG:4326x2:16 28156 33458 80389 84472 EPSG:4326x2:17 56313 66917 160779 168945 EPSG:4326x2:18 112627 133834 321558 337890 EPSG:4326x2:19 225255 267668 643116 675780 EPSG:4326x2:20 450511 535337 1286233 1351561 EPSG:4326x2:21 901023 1070675 2572467 2703123 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 118 129 157 164 EPSG:900913:9 237 258 314 329 EPSG:900913:10 475 517 628 659 EPSG:900913:11 951 1034 1256 1319 EPSG:900913:12 1902 2069 2512 2639 EPSG:900913:13 3805 4139 5024 5279 EPSG:900913:14 7610 8278 10048 10559 EPSG:900913:15 15221 16556 20097 21118 EPSG:900913:16 30443 33113 40194 42236 EPSG:900913:17 60886 66226 80389 84472 EPSG:900913:18 121773 132453 160779 168945 EPSG:900913:19 243547 264906 321558 337890 EPSG:900913:20 487095 529813 643116 675780 EPSG:900913:21 974191 1059627 1286233 1351561 EPSG:900913:22 1948382 2119255 2572467 2703123 EPSG:900913:23 3896765 4238511 5144935 5406246 EPSG:900913:24 7793531 8477022 10289871 10812493 EPSG:900913:25 15587063 16954044 20579743 21624987 EPSG:900913:26 31174126 33908089 41159486 43249975 EPSG:900913:27 62348252 67816178 82318973 86499951 EPSG:900913:28 124696505 135632356 164637947 172999902 EPSG:900913:29 249393010 271264712 329275895 345999804 EPSG:900913:30 498786021 542529425 658551790 691999608 Juba Shabelle River Floods - Gu 2021 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 1st May - 31st August 2021. Additionally, we complemented the data with Kompsat 5 satellite images images for the month of May 2021 42.68606331186561 0.105532956640212 45.67063194132099 4.808526984004745 geonode:som_juba_shabelle_river_floods_gu_2021 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 249 255 316 320 10 498 511 633 641 11 996 1023 1266 1283 12 1993 2046 2533 2567 13 3986 4093 5067 5135 14 7972 8187 10134 10270 15 15945 16374 20269 20541 16 31891 32748 40538 41082 17 63783 65497 81077 82164 18 127566 130995 162155 164328 19 255132 261990 324310 328656 20 510265 523980 648620 657313 21 1020531 1047961 1297240 1314626 22 2041062 2095922 2594480 2629253 23 4082125 4191844 5188961 5258506 24 8164250 8383689 10377922 10517013 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 4 7 7 9 10 5 15 15 19 20 6 31 31 39 40 7 62 63 79 80 8 124 127 158 160 9 249 255 316 320 10 498 511 633 641 11 996 1023 1266 1283 12 1993 2046 2533 2567 13 3986 4093 5067 5135 14 7972 8187 10134 10270 15 15945 16374 20269 20541 16 31891 32748 40538 41082 17 63783 65497 81077 82164 18 127566 130995 162155 164328 19 255132 261990 324310 328656 20 510265 523980 648620 657313 21 1020531 1047961 1297240 1314626 22 2041062 2095922 2594480 2629253 23 4082125 4191844 5188961 5258506 24 8164250 8383689 10377922 10517013 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 30 31 79 80 EPSG:4326:7 60 63 158 160 EPSG:4326:8 121 127 316 320 EPSG:4326:9 242 255 633 641 EPSG:4326:10 484 511 1266 1283 EPSG:4326:11 969 1022 2533 2567 EPSG:4326:12 1938 2045 5067 5135 EPSG:4326:13 3877 4091 10134 10270 EPSG:4326:14 7754 8182 20269 20541 EPSG:4326:15 15508 16364 40538 41082 EPSG:4326:16 31017 32729 81077 82164 EPSG:4326:17 62034 65459 162155 164328 EPSG:4326:18 124069 130918 324310 328656 EPSG:4326:19 248138 261836 648620 657313 EPSG:4326:20 496276 523673 1297240 1314626 EPSG:4326:21 992552 1047346 2594480 2629253 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 62 63 79 80 EPSG:900913x2:8 124 127 158 160 EPSG:900913x2:9 249 255 316 320 EPSG:900913x2:10 498 511 633 641 EPSG:900913x2:11 996 1023 1266 1283 EPSG:900913x2:12 1993 2046 2533 2567 EPSG:900913x2:13 3986 4093 5067 5135 EPSG:900913x2:14 7972 8187 10134 10270 EPSG:900913x2:15 15945 16374 20269 20541 EPSG:900913x2:16 31891 32748 40538 41082 EPSG:900913x2:17 63783 65497 81077 82164 EPSG:900913x2:18 127566 130995 162155 164328 EPSG:900913x2:19 255132 261990 324310 328656 EPSG:900913x2:20 510265 523980 648620 657313 EPSG:900913x2:21 1020531 1047961 1297240 1314626 EPSG:900913x2:22 2041062 2095922 2594480 2629253 EPSG:900913x2:23 4082125 4191844 5188961 5258506 EPSG:900913x2:24 8164250 8383689 10377922 10517013 EPSG:900913x2:25 16328501 16767379 20755845 21034027 EPSG:900913x2:26 32657003 33534759 41511690 42068054 EPSG:900913x2:27 65314006 67069518 83023381 84136109 EPSG:900913x2:28 130628013 134139036 166046763 168272219 EPSG:900913x2:29 261256027 268278073 332093527 336544438 EPSG:900913x2:30 522512055 536556147 664187055 673088877 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 30 31 79 80 EPSG:4326x2:7 60 63 158 160 EPSG:4326x2:8 121 127 316 320 EPSG:4326x2:9 242 255 633 641 EPSG:4326x2:10 484 511 1266 1283 EPSG:4326x2:11 969 1022 2533 2567 EPSG:4326x2:12 1938 2045 5067 5135 EPSG:4326x2:13 3877 4091 10134 10270 EPSG:4326x2:14 7754 8182 20269 20541 EPSG:4326x2:15 15508 16364 40538 41082 EPSG:4326x2:16 31017 32729 81077 82164 EPSG:4326x2:17 62034 65459 162155 164328 EPSG:4326x2:18 124069 130918 324310 328656 EPSG:4326x2:19 248138 261836 648620 657313 EPSG:4326x2:20 496276 523673 1297240 1314626 EPSG:4326x2:21 992552 1047346 2594480 2629253 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 62 63 79 80 EPSG:900913:8 124 127 158 160 EPSG:900913:9 249 255 316 320 EPSG:900913:10 498 511 633 641 EPSG:900913:11 996 1023 1266 1283 EPSG:900913:12 1993 2046 2533 2567 EPSG:900913:13 3986 4093 5067 5135 EPSG:900913:14 7972 8187 10134 10270 EPSG:900913:15 15945 16374 20269 20541 EPSG:900913:16 31891 32748 40538 41082 EPSG:900913:17 63783 65497 81077 82164 EPSG:900913:18 127566 130995 162155 164328 EPSG:900913:19 255132 261990 324310 328656 EPSG:900913:20 510265 523980 648620 657313 EPSG:900913:21 1020531 1047961 1297240 1314626 EPSG:900913:22 2041062 2095922 2594480 2629253 EPSG:900913:23 4082125 4191844 5188961 5258506 EPSG:900913:24 8164250 8383689 10377922 10517013 EPSG:900913:25 16328501 16767379 20755845 21034027 EPSG:900913:26 32657003 33534759 41511690 42068054 EPSG:900913:27 65314006 67069518 83023381 84136109 EPSG:900913:28 130628013 134139036 166046763 168272219 EPSG:900913:29 261256027 268278073 332093527 336544438 EPSG:900913:30 522512055 536556147 664187055 673088877 Agri-Suitability of Rice in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for Rice in selected areas inSouthern part of Somalia (Juba and Shabelle riverine areas). 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:som_land_agrisuitability_rice_s_faoswalim0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 7 8 19 20 EPSG:4326:5 15 16 39 40 EPSG:4326:6 30 32 78 80 EPSG:4326:7 60 64 157 160 EPSG:4326:8 120 128 315 321 EPSG:4326:9 241 256 631 643 EPSG:4326:10 483 513 1262 1286 EPSG:4326:11 966 1027 2524 2573 EPSG:4326:12 1932 2054 5049 5146 EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454439 168629686 EPSG:900913x2:29 260879541 268833353 330908879 337259372 EPSG:900913x2:30 521759082 537666706 661817758 674518745 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Sorghum Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_sorghum_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 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2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 31 80 80 EPSG:4326:7 61 62 160 160 EPSG:4326:8 123 124 320 321 EPSG:4326:9 247 248 641 642 EPSG:4326:10 494 497 1282 1284 EPSG:4326:11 989 995 2564 2568 EPSG:4326:12 1979 1990 5128 5137 EPSG:4326:13 3958 3981 10257 10274 EPSG:4326:14 7916 7963 20514 20548 EPSG:4326:15 15833 15927 41029 41097 EPSG:4326:16 31666 31855 82058 82194 EPSG:4326:17 63332 63711 164116 164388 EPSG:4326:18 126664 127422 328233 328776 EPSG:4326:19 253328 254844 656466 657553 EPSG:4326:20 506657 509689 1312933 1315107 EPSG:4326:21 1013314 1019379 2625867 2630215 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Onion Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_onion_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Date Palm Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for irrigated date palm cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for date palm production. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited ground soil data, where only 71 out of 318 land units are covered by existing soil profiles, SoilGrids machine learning-derived data was used to fill spatial gaps and complete the national coverage The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage, organic carbon) Terrain characteristics (slope, elevation, aspect, erosion risk) Hydrological conditions (flooding risk, permeability, drainage) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The analysis was performed under irrigated conditions, and water availability was not included in the evaluation and must be assessed separately before implementation Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_date_palm_suit_v3_1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Onion Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_onion_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 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EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 527839651 529394190 672222109 673335225 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 321 EPSG:900913:10 503 504 641 642 EPSG:900913:11 1006 1009 1282 1284 EPSG:900913:12 2013 2019 2564 2568 EPSG:900913:13 4027 4038 5128 5137 EPSG:900913:14 8054 8077 10257 10274 EPSG:900913:15 16108 16155 20514 20548 EPSG:900913:16 32216 32311 41029 41097 EPSG:900913:17 64433 64623 82058 82194 EPSG:900913:18 128867 129246 164116 164388 EPSG:900913:19 257734 258493 328233 328776 EPSG:900913:20 515468 516986 656466 657553 EPSG:900913:21 1030936 1033973 1312933 1315107 EPSG:900913:22 2061873 2067946 2625867 2630215 EPSG:900913:23 4123747 4135892 5251735 5260431 EPSG:900913:24 8247494 8271784 10503470 10520862 EPSG:900913:25 16494989 16543568 21006940 21041725 EPSG:900913:26 32989978 33087136 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Index_Somalia -2.627777777999938 -2.334758453999939 51.332011916000056 36.70500000000004 geonode:som_veryhighresolution_imageindex other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 0 1 2 1 2 1 2 3 3 4 3 5 4 6 8 7 10 5 12 16 15 20 6 24 32 31 41 7 49 64 63 82 8 99 129 126 164 9 199 259 252 329 10 399 518 504 658 11 799 1037 1009 1316 12 1598 2074 2018 2632 13 3196 4149 4036 5264 14 6393 8298 8072 10528 15 12787 16596 16144 21056 16 25575 33193 32289 42112 17 51151 66386 64579 84225 18 102302 132772 129158 168450 19 204605 265545 258317 336901 20 409211 531090 516634 673803 21 818422 1062180 1033268 1347606 22 1636844 2124361 2066536 2695213 23 3273689 4248722 4133072 5390426 24 6547378 8497445 8266144 10780853 EPSG:3857x2 0 0 0 0 0 1 0 1 0 1 2 1 2 1 2 3 3 4 3 5 4 6 8 7 10 5 12 16 15 20 6 24 32 31 41 7 49 64 63 82 8 99 129 126 164 9 199 259 252 329 10 399 518 504 658 11 799 1037 1009 1316 12 1598 2074 2018 2632 13 3196 4149 4036 5264 14 6393 8298 8072 10528 15 12787 16596 16144 21056 16 25575 33193 32289 42112 17 51151 66386 64579 84225 18 102302 132772 129158 168450 19 204605 265545 258317 336901 20 409211 531090 516634 673803 21 818422 1062180 1033268 1347606 22 1636844 2124361 2066536 2695213 23 3273689 4248722 4133072 5390426 24 6547378 8497445 8266144 10780853 EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 1 1 2 EPSG:4326:2 1 2 3 5 EPSG:4326:3 2 4 7 10 EPSG:4326:4 4 8 15 20 EPSG:4326:5 9 16 31 41 EPSG:4326:6 18 32 63 82 EPSG:4326:7 37 65 126 164 EPSG:4326:8 75 131 252 329 EPSG:4326:9 151 262 504 658 EPSG:4326:10 303 525 1009 1316 EPSG:4326:11 606 1050 2018 2632 EPSG:4326:12 1212 2101 4036 5264 EPSG:4326:13 2425 4202 8072 10528 EPSG:4326:14 4851 8404 16144 21056 EPSG:4326:15 9702 16809 32289 42112 EPSG:4326:16 19404 33618 64579 84225 EPSG:4326:17 38808 67236 129158 168450 EPSG:4326:18 77616 134472 258317 336901 EPSG:4326:19 155232 268944 516634 673803 EPSG:4326:20 310465 537888 1033268 1347606 EPSG:4326:21 620931 1075777 2066536 2695213 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 0 1 EPSG:900913x2:2 1 2 1 2 EPSG:900913x2:3 3 4 3 5 EPSG:900913x2:4 6 8 7 10 EPSG:900913x2:5 12 16 15 20 EPSG:900913x2:6 24 32 31 41 EPSG:900913x2:7 49 64 63 82 EPSG:900913x2:8 99 129 126 164 EPSG:900913x2:9 199 259 252 329 EPSG:900913x2:10 399 518 504 658 EPSG:900913x2:11 799 1037 1009 1316 EPSG:900913x2:12 1598 2074 2018 2632 EPSG:900913x2:13 3196 4149 4036 5264 EPSG:900913x2:14 6393 8298 8072 10528 EPSG:900913x2:15 12787 16596 16144 21056 EPSG:900913x2:16 25575 33193 32289 42112 EPSG:900913x2:17 51151 66386 64579 84225 EPSG:900913x2:18 102302 132772 129158 168450 EPSG:900913x2:19 204605 265545 258317 336901 EPSG:900913x2:20 409211 531090 516634 673803 EPSG:900913x2:21 818422 1062180 1033268 1347606 EPSG:900913x2:22 1636844 2124361 2066536 2695213 EPSG:900913x2:23 3273689 4248722 4133072 5390426 EPSG:900913x2:24 6547378 8497445 8266144 10780853 EPSG:900913x2:25 13094756 16994891 16532289 21561706 EPSG:900913x2:26 26189512 33989783 33064578 43123412 EPSG:900913x2:27 52379024 67979566 66129157 86246825 EPSG:900913x2:28 104758049 135959132 132258314 172493650 EPSG:900913x2:29 209516098 271918264 264516629 344987300 EPSG:900913x2:30 419032197 543836528 529033259 689974601 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 0 1 EPSG:900913:2 1 2 1 2 EPSG:900913:3 3 4 3 5 EPSG:900913:4 6 8 7 10 EPSG:900913:5 12 16 15 20 EPSG:900913:6 24 32 31 41 EPSG:900913:7 49 64 63 82 EPSG:900913:8 99 129 126 164 EPSG:900913:9 199 259 252 329 EPSG:900913:10 399 518 504 658 EPSG:900913:11 799 1037 1009 1316 EPSG:900913:12 1598 2074 2018 2632 EPSG:900913:13 3196 4149 4036 5264 EPSG:900913:14 6393 8298 8072 10528 EPSG:900913:15 12787 16596 16144 21056 EPSG:900913:16 25575 33193 32289 42112 EPSG:900913:17 51151 66386 64579 84225 EPSG:900913:18 102302 132772 129158 168450 EPSG:900913:19 204605 265545 258317 336901 EPSG:900913:20 409211 531090 516634 673803 EPSG:900913:21 818422 1062180 1033268 1347606 EPSG:900913:22 1636844 2124361 2066536 2695213 EPSG:900913:23 3273689 4248722 4133072 5390426 EPSG:900913:24 6547378 8497445 8266144 10780853 EPSG:900913:25 13094756 16994891 16532289 21561706 EPSG:900913:26 26189512 33989783 33064578 43123412 EPSG:900913:27 52379024 67979566 66129157 86246825 EPSG:900913:28 104758049 135959132 132258314 172493650 EPSG:900913:29 209516098 271918264 264516629 344987300 EPSG:900913:30 419032197 543836528 529033259 689974601 EPSG:4326x2 EPSG:4326x2:0 0 0 0 1 EPSG:4326x2:1 0 1 1 2 EPSG:4326x2:2 1 2 3 5 EPSG:4326x2:3 2 4 7 10 EPSG:4326x2:4 4 8 15 20 EPSG:4326x2:5 9 16 31 41 EPSG:4326x2:6 18 32 63 82 EPSG:4326x2:7 37 65 126 164 EPSG:4326x2:8 75 131 252 329 EPSG:4326x2:9 151 262 504 658 EPSG:4326x2:10 303 525 1009 1316 EPSG:4326x2:11 606 1050 2018 2632 EPSG:4326x2:12 1212 2101 4036 5264 EPSG:4326x2:13 2425 4202 8072 10528 EPSG:4326x2:14 4851 8404 16144 21056 EPSG:4326x2:15 9702 16809 32289 42112 EPSG:4326x2:16 19404 33618 64579 84225 EPSG:4326x2:17 38808 67236 129158 168450 EPSG:4326x2:18 77616 134472 258317 336901 EPSG:4326x2:19 155232 268944 516634 673803 EPSG:4326x2:20 310465 537888 1033268 1347606 EPSG:4326x2:21 620931 1075777 2066536 2695213 Water Melon Suitability - Jowhar (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_watermelon_suitability other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 2625867 2630215 23 4123747 4135892 5251735 5260431 24 8247494 8271784 10503470 10520862 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 321 10 503 504 641 642 11 1006 1009 1282 1284 12 2013 2019 2564 2568 13 4027 4038 5128 5137 14 8054 8077 10257 10274 15 16108 16155 20514 20548 16 32216 32311 41029 41097 17 64433 64623 82058 82194 18 128867 129246 164116 164388 19 257734 258493 328233 328776 20 515468 516986 656466 657553 21 1030936 1033973 1312933 1315107 22 2061873 2067946 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EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 321 EPSG:900913x2:10 503 504 641 642 EPSG:900913x2:11 1006 1009 1282 1284 EPSG:900913x2:12 2013 2019 2564 2568 EPSG:900913x2:13 4027 4038 5128 5137 EPSG:900913x2:14 8054 8077 10257 10274 EPSG:900913x2:15 16108 16155 20514 20548 EPSG:900913x2:16 32216 32311 41029 41097 EPSG:900913x2:17 64433 64623 82058 82194 EPSG:900913x2:18 128867 129246 164116 164388 EPSG:900913x2:19 257734 258493 328233 328776 EPSG:900913x2:20 515468 516986 656466 657553 EPSG:900913x2:21 1030936 1033973 1312933 1315107 EPSG:900913x2:22 2061873 2067946 2625867 2630215 EPSG:900913x2:23 4123747 4135892 5251735 5260431 EPSG:900913x2:24 8247494 8271784 10503470 10520862 EPSG:900913x2:25 16494989 16543568 21006940 21041725 EPSG:900913x2:26 32989978 33087136 42013881 42083451 EPSG:900913x2:27 65979956 66174273 84027763 84166903 EPSG:900913x2:28 131959912 132348547 168055527 168333806 EPSG:900913x2:29 263919825 264697095 336111054 336667612 EPSG:900913x2:30 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42013881 42083451 EPSG:900913:27 65979956 66174273 84027763 84166903 EPSG:900913:28 131959912 132348547 168055527 168333806 EPSG:900913:29 263919825 264697095 336111054 336667612 EPSG:900913:30 527839651 529394190 672222109 673335225 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 31 80 80 EPSG:4326x2:7 61 62 160 160 EPSG:4326x2:8 123 124 320 321 EPSG:4326x2:9 247 248 641 642 EPSG:4326x2:10 494 497 1282 1284 EPSG:4326x2:11 989 995 2564 2568 EPSG:4326x2:12 1979 1990 5128 5137 EPSG:4326x2:13 3958 3981 10257 10274 EPSG:4326x2:14 7916 7963 20514 20548 EPSG:4326x2:15 15833 15927 41029 41097 EPSG:4326x2:16 31666 31855 82058 82194 EPSG:4326x2:17 63332 63711 164116 164388 EPSG:4326x2:18 126664 127422 328233 328776 EPSG:4326x2:19 253328 254844 656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 Mogadishu Points of Interest Digital city map of Mogadishu based on local city maps, NIMA city maps, Landsat ETM+ and QB-images etc. 45.235378265000065 1.980629563000036 45.39332629900008 2.083433151000065 geonode:som_mogadishu_city_poi other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 63 63 80 80 8 126 126 160 160 9 253 253 320 320 10 506 506 640 641 11 1012 1012 1281 1282 12 2024 2025 2562 2564 13 4048 4050 5125 5128 14 8097 8101 10250 10257 15 16194 16203 20501 20515 16 32388 32407 41002 41031 17 64777 64814 82005 82063 18 129554 129629 164011 164126 19 259109 259258 328022 328252 20 518218 518517 656045 656505 21 1036436 1037035 1312091 1313011 22 2072872 2074071 2624182 2626022 23 4145745 4148142 5248364 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EPSG:4326:14 8002 8011 20501 20515 EPSG:4326:15 16004 16023 41002 41031 EPSG:4326:16 32009 32046 82005 82063 EPSG:4326:17 64018 64093 164011 164126 EPSG:4326:18 128037 128187 328022 328252 EPSG:4326:19 256075 256374 656045 656505 EPSG:4326:20 512151 512749 1312091 1313011 EPSG:4326:21 1024302 1025499 2624182 2626022 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 63 63 80 80 EPSG:900913x2:8 126 126 160 160 EPSG:900913x2:9 253 253 320 320 EPSG:900913x2:10 506 506 640 641 EPSG:900913x2:11 1012 1012 1281 1282 EPSG:900913x2:12 2024 2025 2562 2564 EPSG:900913x2:13 4048 4050 5125 5128 EPSG:900913x2:14 8097 8101 10250 10257 EPSG:900913x2:15 16194 16203 20501 20515 EPSG:900913x2:16 32388 32407 41002 41031 EPSG:900913x2:17 64777 64814 82005 82063 EPSG:900913x2:18 129554 129629 164011 164126 EPSG:900913x2:19 259109 259258 328022 328252 EPSG:900913x2:20 518218 518517 656045 656505 EPSG:900913x2:21 1036436 1037035 1312091 1313011 EPSG:900913x2:22 2072872 2074071 2624182 2626022 EPSG:900913x2:23 4145745 4148142 5248364 5252045 EPSG:900913x2:24 8291491 8296285 10496729 10504090 EPSG:900913x2:25 16582983 16592571 20993458 21008180 EPSG:900913x2:26 33165966 33185142 41986917 42016361 EPSG:900913x2:27 66331932 66370284 83973835 84032722 EPSG:900913x2:28 132663865 132740569 167947670 168065445 EPSG:900913x2:29 265327730 265481138 335895341 336130890 EPSG:900913x2:30 530655460 530962277 671790683 672261781 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 31 31 80 80 EPSG:4326x2:7 62 62 160 160 EPSG:4326x2:8 125 125 320 320 EPSG:4326x2:9 250 250 640 641 EPSG:4326x2:10 500 500 1281 1282 EPSG:4326x2:11 1000 1001 2562 2564 EPSG:4326x2:12 2000 2002 5125 5128 EPSG:4326x2:13 4001 4005 10250 10257 EPSG:4326x2:14 8002 8011 20501 20515 EPSG:4326x2:15 16004 16023 41002 41031 EPSG:4326x2:16 32009 32046 82005 82063 EPSG:4326x2:17 64018 64093 164011 164126 EPSG:4326x2:18 128037 128187 328022 328252 EPSG:4326x2:19 256075 256374 656045 656505 EPSG:4326x2:20 512151 512749 1312091 1313011 EPSG:4326x2:21 1024302 1025499 2624182 2626022 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 63 63 80 80 EPSG:900913:8 126 126 160 160 EPSG:900913:9 253 253 320 320 EPSG:900913:10 506 506 640 641 EPSG:900913:11 1012 1012 1281 1282 EPSG:900913:12 2024 2025 2562 2564 EPSG:900913:13 4048 4050 5125 5128 EPSG:900913:14 8097 8101 10250 10257 EPSG:900913:15 16194 16203 20501 20515 EPSG:900913:16 32388 32407 41002 41031 EPSG:900913:17 64777 64814 82005 82063 EPSG:900913:18 129554 129629 164011 164126 EPSG:900913:19 259109 259258 328022 328252 EPSG:900913:20 518218 518517 656045 656505 EPSG:900913:21 1036436 1037035 1312091 1313011 EPSG:900913:22 2072872 2074071 2624182 2626022 EPSG:900913:23 4145745 4148142 5248364 5252045 EPSG:900913:24 8291491 8296285 10496729 10504090 EPSG:900913:25 16582983 16592571 20993458 21008180 EPSG:900913:26 33165966 33185142 41986917 42016361 EPSG:900913:27 66331932 66370284 83973835 84032722 EPSG:900913:28 132663865 132740569 167947670 168065445 EPSG:900913:29 265327730 265481138 335895341 336130890 EPSG:900913:30 530655460 530962277 671790683 672261781 Somalia Primary Roads - UNOCHA The layer contains primary roads data for Somalia. UNOCHA has collected this data from sources such as ICPAC_IGAD_UNOSAT, then UNOCHA has made some updates. 40.93290329000007 -1.150308131999964 51.13941574100005 11.958604813000022 geonode:som_primary_roads_unocha other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 238 257 314 328 10 477 515 628 657 11 955 1030 1256 1314 12 1910 2061 2513 2629 13 3821 4122 5027 5259 14 7643 8244 10054 10519 15 15287 16488 20109 21038 16 30575 32977 40219 42077 17 61150 65954 80439 84155 18 122300 131909 160878 168310 19 244600 263819 321756 336621 20 489200 527638 643513 673242 21 978400 1055277 1287027 1346484 22 1956801 2110554 2574054 2692969 23 3913602 4221109 5148109 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7103 8296 20109 21038 EPSG:4326:15 14207 16593 40219 42077 EPSG:4326:16 28414 33186 80439 84155 EPSG:4326:17 56828 66373 160878 168310 EPSG:4326:18 113656 132747 321756 336621 EPSG:4326:19 227312 265494 643513 673242 EPSG:4326:20 454624 530989 1287027 1346484 EPSG:4326:21 909248 1061978 2574054 2692969 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 128 157 164 EPSG:900913x2:9 238 257 314 328 EPSG:900913x2:10 477 515 628 657 EPSG:900913x2:11 955 1030 1256 1314 EPSG:900913x2:12 1910 2061 2513 2629 EPSG:900913x2:13 3821 4122 5027 5259 EPSG:900913x2:14 7643 8244 10054 10519 EPSG:900913x2:15 15287 16488 20109 21038 EPSG:900913x2:16 30575 32977 40219 42077 EPSG:900913x2:17 61150 65954 80439 84155 EPSG:900913x2:18 122300 131909 160878 168310 EPSG:900913x2:19 244600 263819 321756 336621 EPSG:900913x2:20 489200 527638 643513 673242 EPSG:900913x2:21 978400 1055277 1287027 1346484 EPSG:900913x2:22 1956801 2110554 2574054 2692969 EPSG:900913x2:23 3913602 4221109 5148109 5385938 EPSG:900913x2:24 7827205 8442219 10296219 10771877 EPSG:900913x2:25 15654411 16884439 20592439 21543755 EPSG:900913x2:26 31308822 33768879 41184878 43087510 EPSG:900913x2:27 62617645 67537758 82369756 86175020 EPSG:900913x2:28 125235290 135075517 164739512 172350040 EPSG:900913x2:29 250470580 270151035 329479025 344700080 EPSG:900913x2:30 500941161 540302070 658958051 689400160 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 128 157 164 EPSG:900913:9 238 257 314 328 EPSG:900913:10 477 515 628 657 EPSG:900913:11 955 1030 1256 1314 EPSG:900913:12 1910 2061 2513 2629 EPSG:900913:13 3821 4122 5027 5259 EPSG:900913:14 7643 8244 10054 10519 EPSG:900913:15 15287 16488 20109 21038 EPSG:900913:16 30575 32977 40219 42077 EPSG:900913:17 61150 65954 80439 84155 EPSG:900913:18 122300 131909 160878 168310 EPSG:900913:19 244600 263819 321756 336621 EPSG:900913:20 489200 527638 643513 673242 EPSG:900913:21 978400 1055277 1287027 1346484 EPSG:900913:22 1956801 2110554 2574054 2692969 EPSG:900913:23 3913602 4221109 5148109 5385938 EPSG:900913:24 7827205 8442219 10296219 10771877 EPSG:900913:25 15654411 16884439 20592439 21543755 EPSG:900913:26 31308822 33768879 41184878 43087510 EPSG:900913:27 62617645 67537758 82369756 86175020 EPSG:900913:28 125235290 135075517 164739512 172350040 EPSG:900913:29 250470580 270151035 329479025 344700080 EPSG:900913:30 500941161 540302070 658958051 689400160 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 110 129 314 328 EPSG:4326x2:9 221 259 628 657 EPSG:4326x2:10 443 518 1256 1314 EPSG:4326x2:11 887 1037 2513 2629 EPSG:4326x2:12 1775 2074 5027 5259 EPSG:4326x2:13 3551 4148 10054 10519 EPSG:4326x2:14 7103 8296 20109 21038 EPSG:4326x2:15 14207 16593 40219 42077 EPSG:4326x2:16 28414 33186 80439 84155 EPSG:4326x2:17 56828 66373 160878 168310 EPSG:4326x2:18 113656 132747 321756 336621 EPSG:4326x2:19 227312 265494 643513 673242 EPSG:4326x2:20 454624 530989 1287027 1346484 EPSG:4326x2:21 909248 1061978 2574054 2692969 Agro-Ecological Zones of Somalia Agro-ecological zones (AEZ) are land resource mapping units, defined in terms of\r\nclimate, landform and soils, and/or land cover, having a specific range of\r\npotentials and constraints (FAO, 1996). The purpose of Agro-ecological zoning is to give an inventory and overview of the physical agricultural potential of an area.Agro-ecological zones for Somalia have been defined and mapped through a combination of information on soils, landform and climate. Information on soils and landform was mainly derived from the Soil and Terrain (SOTER) Database for\r\nnortheastern Africa (FAO, 1998), updated with recent information from the\r\nSWALIM study areas. Available data on rainfall and potential evapotranspiration (FAOCLIM, 2001) has been used to define Length of Growing Period Zones (LGP Zones), as described in the following sections. Read this report for more details -> https://www.faoswalim.org/resources/site_files/L-12%20Land%20Resources%20Report.pdf 40.98872165385188 -1.659663170522937 51.4133934330502 11.986426973506097 geonode:somalia_agroecological_zones other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4133 5028 5265 14 7642 8267 10057 10531 15 15284 16535 20114 21063 16 30569 33070 40229 42127 17 61139 66140 80459 84255 18 122279 132280 160919 168510 19 244558 264561 321838 337020 20 489117 529122 643676 674040 21 978235 1058245 1287352 1348080 22 1956470 2116491 2574705 2696161 23 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10057 10531 EPSG:900913:15 15284 16535 20114 21063 EPSG:900913:16 30569 33070 40229 42127 EPSG:900913:17 61139 66140 80459 84255 EPSG:900913:18 122279 132280 160919 168510 EPSG:900913:19 244558 264561 321838 337020 EPSG:900913:20 489117 529122 643676 674040 EPSG:900913:21 978235 1058245 1287352 1348080 EPSG:900913:22 1956470 2116491 2574705 2696161 EPSG:900913:23 3912940 4232982 5149410 5392322 EPSG:900913:24 7825880 8465964 10298820 10784645 EPSG:900913:25 15651760 16931929 20597641 21569291 EPSG:900913:26 31303520 33863858 41195283 43138583 EPSG:900913:27 62607041 67727717 82390567 86277166 EPSG:900913:28 125214083 135455435 164781134 172554332 EPSG:900913:29 250428166 270910871 329562268 345108665 EPSG:900913:30 500856333 541821742 659124536 690217331 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2085 5028 5265 EPSG:4326x2:13 3550 4171 10057 10531 EPSG:4326x2:14 7100 8343 20114 21063 EPSG:4326x2:15 14201 16686 40229 42127 EPSG:4326x2:16 28403 33372 80459 84255 EPSG:4326x2:17 56807 66744 160919 168510 EPSG:4326x2:18 113615 133489 321838 337020 EPSG:4326x2:19 227231 266978 643676 674040 EPSG:4326x2:20 454462 533956 1287352 1348080 EPSG:4326x2:21 908924 1067912 2574705 2696161 Geological map - Abbate et al. 1993 General geological map of Somalia 40.99123540700003 -1.714700773999937 51.409296391000055 11.981956052000044 geonode:geology_abbate_et_al_1993 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 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EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 955 1033 1257 1316 EPSG:900913x2:12 1910 2067 2514 2632 EPSG:900913x2:13 3821 4135 5028 5265 EPSG:900913x2:14 7642 8270 10057 10531 EPSG:900913x2:15 15285 16540 20115 21063 EPSG:900913x2:16 30570 33080 40230 42126 EPSG:900913x2:17 61141 66160 80460 84253 EPSG:900913x2:18 122282 132320 160920 168507 EPSG:900913x2:19 244565 264641 321841 337014 EPSG:900913x2:20 489130 529283 643683 674028 EPSG:900913x2:21 978261 1058566 1287367 1348056 EPSG:900913x2:22 1956523 2117132 2574734 2696113 EPSG:900913x2:23 3913046 4234265 5149469 5392227 EPSG:900913x2:24 7826093 8468530 10298938 10784454 EPSG:900913x2:25 15652186 16937061 20597876 21568909 EPSG:900913x2:26 31304372 33874123 41195752 43137819 EPSG:900913x2:27 62608745 67748246 82391504 86275638 EPSG:900913x2:28 125217491 135496492 164783008 172551277 EPSG:900913x2:29 250434982 270992984 329566016 345102555 EPSG:900913x2:30 500869965 541985969 659132033 690205111 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 955 1033 1257 1316 EPSG:900913:12 1910 2067 2514 2632 EPSG:900913:13 3821 4135 5028 5265 EPSG:900913:14 7642 8270 10057 10531 EPSG:900913:15 15285 16540 20115 21063 EPSG:900913:16 30570 33080 40230 42126 EPSG:900913:17 61141 66160 80460 84253 EPSG:900913:18 122282 132320 160920 168507 EPSG:900913:19 244565 264641 321841 337014 EPSG:900913:20 489130 529283 643683 674028 EPSG:900913:21 978261 1058566 1287367 1348056 EPSG:900913:22 1956523 2117132 2574734 2696113 EPSG:900913:23 3913046 4234265 5149469 5392227 EPSG:900913:24 7826093 8468530 10298938 10784454 EPSG:900913:25 15652186 16937061 20597876 21568909 EPSG:900913:26 31304372 33874123 41195752 43137819 EPSG:900913:27 62608745 67748246 82391504 86275638 EPSG:900913:28 125217491 135496492 164783008 172551277 EPSG:900913:29 250434982 270992984 329566016 345102555 EPSG:900913:30 500869965 541985969 659132033 690205111 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1043 2514 2632 EPSG:4326x2:12 1775 2087 5028 5265 EPSG:4326x2:13 3550 4174 10057 10531 EPSG:4326x2:14 7101 8348 20115 21063 EPSG:4326x2:15 14202 16696 40230 42126 EPSG:4326x2:16 28405 33392 80460 84253 EPSG:4326x2:17 56811 66784 160920 168507 EPSG:4326x2:18 113622 133569 321841 337014 EPSG:4326x2:19 227244 267138 643683 674028 EPSG:4326x2:20 454488 534276 1287367 1348056 EPSG:4326x2:21 908976 1068553 2574734 2696113 Grazing Suitability for Camel- Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for extensive grazing and forage production across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching environmental conditions with requirements for grazing and forage production. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (~25% land unit coverage), SoilGrids was used to derive key soil properties across multiple depths . Each land unit was evaluated using: Climate factors (rainfall, temperature, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation) A matching table approach was applied, where: Parameters were classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The evaluation emphasizes biomass production potential and resilience to harsh conditions, which are critical for grazing systems. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_camel_grazing_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 122233 132279 160856 168536 19 244467 264559 321713 337072 20 488935 529119 643426 674144 21 977871 1058239 1286852 1348288 22 1955742 2116479 2573705 2696576 23 3911484 4232959 5147411 5393152 24 7822969 8465919 10294822 10786305 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 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EPSG:900913x2:12 1909 2066 2513 2633 EPSG:900913x2:13 3819 4133 5026 5266 EPSG:900913x2:14 7639 8267 10053 10533 EPSG:900913x2:15 15279 16534 20107 21067 EPSG:900913x2:16 30558 33069 40214 42134 EPSG:900913x2:17 61116 66139 80428 84268 EPSG:900913x2:18 122233 132279 160856 168536 EPSG:900913x2:19 244467 264559 321713 337072 EPSG:900913x2:20 488935 529119 643426 674144 EPSG:900913x2:21 977871 1058239 1286852 1348288 EPSG:900913x2:22 1955742 2116479 2573705 2696576 EPSG:900913x2:23 3911484 4232959 5147411 5393152 EPSG:900913x2:24 7822969 8465919 10294822 10786305 EPSG:900913x2:25 15645939 16931838 20589644 21572610 EPSG:900913x2:26 31291879 33863676 41179288 43145221 EPSG:900913x2:27 62583759 67727353 82358576 86290443 EPSG:900913x2:28 125167518 135454707 164717153 172580886 EPSG:900913x2:29 250335037 270909414 329434306 345161772 EPSG:900913x2:30 500670074 541818829 658868613 690323545 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 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See "SOM Juba Shabelle River Floods" layers: Deyr 2023, Gu 2021, Gu 2020, Hagaa 2020, Gu 2019, Deyr 2019, Gu 2018, Deyr 2018, Gu 2016, Gu 2015, Deyr 2013 40.99564999904828 -1.623307531917021 48.34046489723727 6.010755708009583 geonode:som_flood_prone_areas_merge_of_historical0b4a617fc9d78 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 30 32 39 40 7 61 64 78 81 8 123 129 157 162 9 247 258 314 324 10 494 516 628 649 11 989 1033 1257 1299 12 1979 2066 2514 2598 13 3958 4132 5028 5196 14 7917 8265 10057 10392 15 15835 16531 20115 20784 16 31671 33063 40231 41568 17 63343 66127 80462 83136 18 126687 132254 160924 166272 19 253374 264508 321848 332544 20 506748 529016 643696 665089 21 1013496 1058033 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321848 332544 EPSG:900913:20 506748 529016 643696 665089 EPSG:900913:21 1013496 1058033 1287392 1330179 EPSG:900913:22 2026992 2116067 2574785 2660359 EPSG:900913:23 4053985 4232134 5149571 5320718 EPSG:900913:24 8107971 8464269 10299143 10641436 EPSG:900913:25 16215942 16928539 20598287 21282873 EPSG:900913:26 32431884 33857078 41196575 42565747 EPSG:900913:27 64863769 67714157 82393150 85131495 EPSG:900913:28 129727539 135428315 164786300 170262991 EPSG:900913:29 259455079 270856631 329572600 340525982 EPSG:900913:30 518910159 541713263 659145200 681051964 Juba Shabelle River Floods - Gu 2018 This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 23rd April 2018 to 10th May 2018 42.078521369147836 -0.105086471241576 45.74236120601893 5.070241835791818 geonode:som_juba_shabelle_river_floods_gu_20180 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 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131225 323425 328761 EPSG:4326x2:19 247375 262450 646850 657522 EPSG:4326x2:20 494751 524900 1293701 1315044 EPSG:4326x2:21 989503 1049800 2587402 2630089 Jowhar Soil Data (1:25000) This dataset represents the semi-detailed soil maps of selected riverine Areas of Interest (AOIs) in southern and central Somalia, including Luuq, Belet Weyne, Afgooye, Jowhar, and Kismaayo. The maps were developed through integrated soil survey methodologies combining field observations, laboratory analysis, and geospatial interpretation. The dataset provides spatial information on soil distribution, land units, and key soil physical and chemical properties. It supports agricultural planning, irrigation development, land resource management, and climate-resilient interventions in the Shabelle and Juba river basins. The mapping is part of a broader SWALIM initiative aimed at improving soil knowledge at semi-detailed scale for sustainable land use planning. Methodology The soil maps for all AOIs were developed using a standardized methodology based on FAO soil survey guidelines and adapted to the Somali landscape context. 1. Land Unit Delineation (Photointerpretation) Preliminary land units were delineated using satellite imagery and landscape interpretation based on: geomorphology landforms surface characteristics 2. Field Soil Survey Field campaigns were conducted to collect soil profile (pedon) data, including: horizon description soil depth texture structure drainage conditions 3. Laboratory Analysis Soil samples were analyzed to determine key physical and chemical properties, including: Soil texture (sand, silt, clay) Bulk density Soil pH Electrical conductivity (salinity) Organic carbon and organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable bases (Ca, Mg, K, Na) Available water capacity (AWC) 4. Soil Classification and Mapping Soils were grouped into Land Units Classified using WRB (World Reference Base for Soil Resources) Mapped at semi-detailed scale (1:25,000) 5. Soil–Landscape Database Development A comprehensive dataset was developed integrating: Soil properties Climate characteristics Physiographic and landscape attributes This database supports further applications such as land suitability analysis. Spatial Resolution / Scale Scale: 1:25,000 (semi-detailed soil mapping) Geographic Coverage Riverine agricultural areas in Somalia: Luuq Belet Weyne Afgooye Jowhar Kismaayo Located along the Juba and Shabelle river systems Soil Characteristics Included Physical Properties Texture Soil depth Structure Drainage Permeability Available Water Capacity (AWC) Rooting depth Chemical Properties Soil pH Salinity (EC) Organic carbon Organic matter Total nitrogen Calcium carbonate Cation Exchange Capacity (CEC) Exchangeable cations (Ca, Mg, K, Na) Alkalinity (ESP) Landscape Attributes Flooding regimes Alluvial plains and terraces Soil moisture conditions Topography (slope, elevation) 45.38002527814642 2.5059669416177432 45.75322635132957 3.0265576012996753 geonode:jowhar_lu_soil_map_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml 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656466 657553 EPSG:4326x2:20 506657 509689 1312933 1315107 EPSG:4326x2:21 1013314 1019379 2625867 2630215 SRTM Spot Heights 41.00208126500007 -1.616661368999928 51.41229783000006 11.96650088900003 geonode:som_srtm_spot_heights other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 955 1033 1257 1316 12 1910 2066 2514 2632 13 3821 4132 5029 5265 14 7643 8265 10058 10531 15 15286 16531 20116 21063 16 30573 33062 40232 42127 17 61147 66124 80464 84254 18 122294 132249 160928 168509 19 244588 264498 321857 337018 20 489176 528997 643715 674037 21 978353 1057994 1287430 1348074 22 1956707 2115989 2574860 2696148 23 3913414 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10531 EPSG:900913:15 15286 16531 20116 21063 EPSG:900913:16 30573 33062 40232 42127 EPSG:900913:17 61147 66124 80464 84254 EPSG:900913:18 122294 132249 160928 168509 EPSG:900913:19 244588 264498 321857 337018 EPSG:900913:20 489176 528997 643715 674037 EPSG:900913:21 978353 1057994 1287430 1348074 EPSG:900913:22 1956707 2115989 2574860 2696148 EPSG:900913:23 3913414 4231979 5149721 5392297 EPSG:900913:24 7826829 8463959 10299443 10784594 EPSG:900913:25 15653658 16927919 20598886 21569189 EPSG:900913:26 31307317 33855839 41197773 43138378 EPSG:900913:27 62614635 67711679 82395547 86276757 EPSG:900913:28 125229271 135423358 164791095 172553515 EPSG:900913:29 250458543 270846716 329582191 345107031 EPSG:900913:30 500917087 541693432 659164382 690214063 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1257 1316 EPSG:4326x2:11 887 1042 2514 2632 EPSG:4326x2:12 1775 2084 5029 5265 EPSG:4326x2:13 3551 4169 10058 10531 EPSG:4326x2:14 7102 8339 20116 21063 EPSG:4326x2:15 14205 16678 40232 42127 EPSG:4326x2:16 28411 33356 80464 84254 EPSG:4326x2:17 56822 66713 160928 168509 EPSG:4326x2:18 113644 133426 321857 337018 EPSG:4326x2:19 227289 266852 643715 674037 EPSG:4326x2:20 454578 533705 1287430 1348074 EPSG:4326x2:21 909156 1067411 2574860 2696148 Tomato Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_tomato_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 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41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Forest Suitability of AcaciaNilotica in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Acacia Nilotica in selected areas in southernpart of Somalia (Juba and Shabelle riverine areas). 41.891693115000066 -0.266810088999932 46.15003204300007 5.060045242000058 geonode:som_land_forestsuitability_acacianilotica_s_f other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 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4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454438 168629686 EPSG:900913:29 260879541 268833353 330908876 337259372 EPSG:900913:30 521759082 537666706 661817753 674518744 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Onion Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_onion_suitability_v1 other text/xml other other other other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 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EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 523140462 671096367 671942269 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 62 80 80 EPSG:900913:8 124 124 160 160 EPSG:900913:9 248 249 320 320 EPSG:900913:10 497 498 640 640 EPSG:900913:11 995 997 1280 1281 EPSG:900913:12 1990 1995 2560 2563 EPSG:900913:13 3981 3991 5120 5126 EPSG:900913:14 7963 7982 10240 10253 EPSG:900913:15 15927 15964 20480 20506 EPSG:900913:16 31855 31929 40960 41012 EPSG:900913:17 63710 63859 81920 82024 EPSG:900913:18 127420 127719 163841 164048 EPSG:900913:19 254841 255439 327683 328096 EPSG:900913:20 509683 510879 655367 656193 EPSG:900913:21 1019367 1021758 1310735 1312387 EPSG:900913:22 2038735 2043517 2621470 2624774 EPSG:900913:23 4077471 4087034 5242940 5249548 EPSG:900913:24 8154942 8174069 10485880 10499097 EPSG:900913:25 16309884 16348139 20971761 20998195 EPSG:900913:26 32619768 32696278 41943522 41996391 EPSG:900913:27 65239536 65392557 83887045 83992783 EPSG:900913:28 130479073 130785115 167774091 167985567 EPSG:900913:29 260958147 261570231 335548183 335971134 EPSG:900913:30 521916294 523140462 671096367 671942269 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 30 80 80 EPSG:4326x2:7 60 60 160 160 EPSG:4326x2:8 120 121 320 320 EPSG:4326x2:9 241 242 640 640 EPSG:4326x2:10 483 485 1280 1281 EPSG:4326x2:11 967 971 2560 2563 EPSG:4326x2:12 1934 1943 5120 5126 EPSG:4326x2:13 3868 3886 10240 10253 EPSG:4326x2:14 7736 7773 20480 20506 EPSG:4326x2:15 15472 15546 40960 41012 EPSG:4326x2:16 30944 31093 81920 82024 EPSG:4326x2:17 61889 62187 163841 164048 EPSG:4326x2:18 123779 124374 327683 328096 EPSG:4326x2:19 247558 248749 655367 656193 EPSG:4326x2:20 495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Irrigated Rice Suitability - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for paddy (irrigated rice) cultivation across Somalia. The analysis was conducted using a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic factors. Suitability classes include S1 (highly suitable), S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable), reflecting varying levels of constraints for rice production. The evaluation considers rice grown under wet (paddy) and irrigated conditions, focusing on soil and climate suitability without explicitly accounting for water availability and irrigation infrastructure. Methodology The suitability analysis was conducted using a parametric land evaluation framework following FAO (1976) and Sys et al. (1991), where land characteristics are matched with crop requirements through a numerical rating system. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil database (250 m resolution, machine learning-based) WoSIS soil profile database (over 230,000 profiles globally) Climate data (temperature and rainfall) Length of Growing Period (LGP – SWALIM, 2007) SRTM Digital Elevation Model (30 m) Due to limited ground soil data (only 71 out of 318 land units), SoilGrids machine learning-derived data was used to fill spatial gaps and derive key soil parameters across multiple depths. The evaluation considered: Climate factors (temperature, rainfall, LGP) Soil properties (texture, depth, salinity, fertility, drainage, organic carbon) Terrain characteristics (slope, elevation, erosion risk, aspect) A matching table approach was used, where: Each parameter was classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index Separate matching tables were developed for paddy rice (wet conditions) and irrigated rice systems, incorporating crop-specific thresholds for hydrology, soil, and climate conditions. Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – global soil database) WoSIS Soil Profile Database SRTM DEM (30 m) SWALIM Length of Growing Period (2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_irrtigated_rice_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 2513 2633 13 3819 4133 5026 5266 14 7639 8267 10053 10533 15 15279 16534 20107 21067 16 30558 33069 40214 42134 17 61116 66139 80428 84268 18 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2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Somalia Cropland GFSAD 30m 2015 The GFSAD30 is a NASA funded project to provide high resolution global cropland data and their water use that contributes towards global food security in the twenty-first century. The Global Food Security-support Analysis Data (GFSAD) 30meter Cropland Extent Africa Nominal 2015 products are derived through multi-sensor remote sensing data (e.g., Landsat, MODIS, AVHRR), secondary data, and field-plot data and aims at documenting cropland dynamics from 1990 to 2017 41.005362880000064 -1.628016788999958 50.40051309200004 11.284860871000035 geonode:som_cropland_gfsad_30m_2015 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 40 7 59 64 78 81 8 119 129 157 163 9 239 258 314 327 10 479 516 628 655 11 959 1033 1257 1310 12 1918 2066 2514 2621 13 3837 4133 5029 5242 14 7675 8266 10058 10485 15 15350 16532 20116 20971 16 30700 33064 40232 41943 17 61400 66128 80465 83886 18 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2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 40 EPSG:4326x2:6 27 32 78 81 EPSG:4326x2:7 55 65 157 163 EPSG:4326x2:8 111 130 314 327 EPSG:4326x2:9 223 260 628 655 EPSG:4326x2:10 447 521 1257 1310 EPSG:4326x2:11 895 1042 2514 2621 EPSG:4326x2:12 1791 2085 5029 5242 EPSG:4326x2:13 3582 4170 10058 10485 EPSG:4326x2:14 7164 8340 20116 20971 EPSG:4326x2:15 14329 16680 40232 41943 EPSG:4326x2:16 28659 33360 80465 83886 EPSG:4326x2:17 57318 66721 160931 167772 EPSG:4326x2:18 114637 133442 321862 335545 EPSG:4326x2:19 229274 266885 643724 671090 EPSG:4326x2:20 458548 533771 1287449 1342180 EPSG:4326x2:21 917097 1067543 2574899 2684360 Water Melon Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye_watermelon_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 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2077046 2617320 2623376 23 4143286 4154093 5234640 5246752 24 8286572 8308186 10469281 10493505 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 4 5 EPSG:4326:3 3 3 9 10 EPSG:4326:4 7 7 19 20 EPSG:4326:5 15 15 39 40 EPSG:4326:6 31 31 79 80 EPSG:4326:7 62 62 159 160 EPSG:4326:8 124 125 319 320 EPSG:4326:9 249 251 638 640 EPSG:4326:10 499 502 1277 1280 EPSG:4326:11 999 1004 2555 2561 EPSG:4326:12 1998 2008 5111 5123 EPSG:4326:13 3996 4017 10223 10247 EPSG:4326:14 7992 8034 20447 20495 EPSG:4326:15 15985 16069 40895 40990 EPSG:4326:16 31971 32139 81791 81980 EPSG:4326:17 63942 64279 163582 163961 EPSG:4326:18 127884 128559 327165 327922 EPSG:4326:19 255768 257118 654330 655844 EPSG:4326:20 511536 514236 1308660 1311688 EPSG:4326:21 1023073 1028473 2617320 2623376 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 4 5 EPSG:900913x2:4 7 7 9 10 EPSG:900913x2:5 15 15 19 20 EPSG:900913x2:6 31 31 39 40 EPSG:900913x2:7 63 63 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530340655 531723912 670034032 671584382 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 4 5 EPSG:4326x2:3 3 3 9 10 EPSG:4326x2:4 7 7 19 20 EPSG:4326x2:5 15 15 39 40 EPSG:4326x2:6 31 31 79 80 EPSG:4326x2:7 62 62 159 160 EPSG:4326x2:8 124 125 319 320 EPSG:4326x2:9 249 251 638 640 EPSG:4326x2:10 499 502 1277 1280 EPSG:4326x2:11 999 1004 2555 2561 EPSG:4326x2:12 1998 2008 5111 5123 EPSG:4326x2:13 3996 4017 10223 10247 EPSG:4326x2:14 7992 8034 20447 20495 EPSG:4326x2:15 15985 16069 40895 40990 EPSG:4326x2:16 31971 32139 81791 81980 EPSG:4326x2:17 63942 64279 163582 163961 EPSG:4326x2:18 127884 128559 327165 327922 EPSG:4326x2:19 255768 257118 654330 655844 EPSG:4326x2:20 511536 514236 1308660 1311688 EPSG:4326x2:21 1023073 1028473 2617320 2623376 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 4 5 EPSG:900913:4 7 7 9 10 EPSG:900913:5 15 15 19 20 EPSG:900913:6 31 31 39 40 EPSG:900913:7 63 63 79 80 EPSG:900913:8 126 126 159 160 EPSG:900913:9 252 253 319 320 EPSG:900913:10 505 507 638 640 EPSG:900913:11 1011 1014 1277 1280 EPSG:900913:12 2023 2028 2555 2561 EPSG:900913:13 4046 4056 5111 5123 EPSG:900913:14 8092 8113 10223 10247 EPSG:900913:15 16184 16226 20447 20495 EPSG:900913:16 32369 32453 40895 40990 EPSG:900913:17 64738 64907 81791 81980 EPSG:900913:18 129477 129815 163582 163961 EPSG:900913:19 258955 259630 327165 327922 EPSG:900913:20 517910 519261 654330 655844 EPSG:900913:21 1035821 1038523 1308660 1311688 EPSG:900913:22 2071643 2077046 2617320 2623376 EPSG:900913:23 4143286 4154093 5234640 5246752 EPSG:900913:24 8286572 8308186 10469281 10493505 EPSG:900913:25 16573145 16616372 20938563 20987011 EPSG:900913:26 33146290 33232744 41877127 41974023 EPSG:900913:27 66292581 66465489 83754254 83948047 EPSG:900913:28 132585163 132930978 167508508 167896095 EPSG:900913:29 265170327 265861956 335017016 335792191 EPSG:900913:30 530340655 531723912 670034032 671584382 Tomato Suitability - Belet Weyne(1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_tomato_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 2621470 2624774 23 4077471 4087034 5242940 5249548 24 8154942 8174069 10485880 10499097 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 2621470 2624774 23 4077471 4087034 5242940 5249548 24 8154942 8174069 10485880 10499097 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 0 2 2 EPSG:4326:2 1 1 5 5 EPSG:4326:3 3 3 10 10 EPSG:4326:4 7 7 20 20 EPSG:4326:5 15 15 40 40 EPSG:4326:6 30 30 80 80 EPSG:4326:7 60 60 160 160 EPSG:4326:8 120 121 320 320 EPSG:4326:9 241 242 640 640 EPSG:4326:10 483 485 1280 1281 EPSG:4326:11 967 971 2560 2563 EPSG:4326:12 1934 1943 5120 5126 EPSG:4326:13 3868 3886 10240 10253 EPSG:4326:14 7736 7773 20480 20506 EPSG:4326:15 15472 15546 40960 41012 EPSG:4326:16 30944 31093 81920 82024 EPSG:4326:17 61889 62187 163841 164048 EPSG:4326:18 123779 124374 327683 328096 EPSG:4326:19 247558 248749 655367 656193 EPSG:4326:20 495116 497499 1310735 1312387 EPSG:4326:21 990233 994999 2621470 2624774 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 62 80 80 EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 523140462 671096367 671942269 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 62 80 80 EPSG:900913:8 124 124 160 160 EPSG:900913:9 248 249 320 320 EPSG:900913:10 497 498 640 640 EPSG:900913:11 995 997 1280 1281 EPSG:900913:12 1990 1995 2560 2563 EPSG:900913:13 3981 3991 5120 5126 EPSG:900913:14 7963 7982 10240 10253 EPSG:900913:15 15927 15964 20480 20506 EPSG:900913:16 31855 31929 40960 41012 EPSG:900913:17 63710 63859 81920 82024 EPSG:900913:18 127420 127719 163841 164048 EPSG:900913:19 254841 255439 327683 328096 EPSG:900913:20 509683 510879 655367 656193 EPSG:900913:21 1019367 1021758 1310735 1312387 EPSG:900913:22 2038735 2043517 2621470 2624774 EPSG:900913:23 4077471 4087034 5242940 5249548 EPSG:900913:24 8154942 8174069 10485880 10499097 EPSG:900913:25 16309884 16348139 20971761 20998195 EPSG:900913:26 32619768 32696278 41943522 41996391 EPSG:900913:27 65239536 65392557 83887045 83992783 EPSG:900913:28 130479073 130785115 167774091 167985567 EPSG:900913:29 260958147 261570231 335548183 335971134 EPSG:900913:30 521916294 523140462 671096367 671942269 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 0 2 2 EPSG:4326x2:2 1 1 5 5 EPSG:4326x2:3 3 3 10 10 EPSG:4326x2:4 7 7 20 20 EPSG:4326x2:5 15 15 40 40 EPSG:4326x2:6 30 30 80 80 EPSG:4326x2:7 60 60 160 160 EPSG:4326x2:8 120 121 320 320 EPSG:4326x2:9 241 242 640 640 EPSG:4326x2:10 483 485 1280 1281 EPSG:4326x2:11 967 971 2560 2563 EPSG:4326x2:12 1934 1943 5120 5126 EPSG:4326x2:13 3868 3886 10240 10253 EPSG:4326x2:14 7736 7773 20480 20506 EPSG:4326x2:15 15472 15546 40960 41012 EPSG:4326x2:16 30944 31093 81920 82024 EPSG:4326x2:17 61889 62187 163841 164048 EPSG:4326x2:18 123779 124374 327683 328096 EPSG:4326x2:19 247558 248749 655367 656193 EPSG:4326x2:20 495116 497499 1310735 1312387 EPSG:4326x2:21 990233 994999 2621470 2624774 Sesame Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_sesame_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 Date Palm Suitability - Kismaayo (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 42.45840657117793 -0.291413779298069 42.6226803822845 0.005215557978834 geonode:kismaayo_date_palm_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 4 4 7 8 9 9 5 15 16 19 19 6 31 32 39 39 7 63 64 79 79 8 127 128 158 158 9 255 256 316 316 10 511 512 632 633 11 1023 1025 1265 1266 12 2047 2051 2531 2532 13 4095 4102 5062 5065 14 8191 8205 10124 10131 15 16383 16410 20248 20263 16 32767 32821 40497 40527 17 65534 65642 80994 81054 18 131068 131284 161989 162108 19 262136 262568 323978 324217 20 524272 525136 647957 648435 21 1048545 1050273 1295914 1296871 22 2097091 2100547 2591828 2593742 23 4194182 4201094 5183656 5187484 24 8388364 8402188 10367313 10374968 EPSG:4326 EPSG:4326:0 0 0 1 1 EPSG:4326:1 0 1 2 2 EPSG:4326:2 1 2 4 4 EPSG:4326:3 3 4 9 9 EPSG:4326:4 7 8 19 19 EPSG:4326:5 15 16 39 39 EPSG:4326:6 31 32 79 79 EPSG:4326:7 63 64 158 158 EPSG:4326:8 127 128 316 316 EPSG:4326:9 255 256 632 633 EPSG:4326:10 511 513 1265 1266 EPSG:4326:11 1023 1027 2531 2532 EPSG:4326:12 2047 2054 5062 5065 EPSG:4326:13 4095 4109 10124 10131 EPSG:4326:14 8191 8218 20248 20263 EPSG:4326:15 16383 16437 40497 40527 EPSG:4326:16 32766 32874 80994 81054 EPSG:4326:17 65532 65748 161989 162108 EPSG:4326:18 131064 131496 323978 324217 EPSG:4326:19 262128 262992 647957 648435 EPSG:4326:20 524257 525985 1295914 1296871 EPSG:4326:21 1048515 1051971 2591828 2593742 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 4 EPSG:900913x2:4 7 8 9 9 EPSG:900913x2:5 15 16 19 19 EPSG:900913x2:6 31 32 39 39 EPSG:900913x2:7 63 64 79 79 EPSG:900913x2:8 127 128 158 158 EPSG:900913x2:9 255 256 316 316 EPSG:900913x2:10 511 512 632 633 EPSG:900913x2:11 1023 1025 1265 1266 EPSG:900913x2:12 2047 2051 2531 2532 EPSG:900913x2:13 4095 4102 5062 5065 EPSG:900913x2:14 8191 8205 10124 10131 EPSG:900913x2:15 16383 16410 20248 20263 EPSG:900913x2:16 32767 32821 40497 40527 EPSG:900913x2:17 65534 65642 80994 81054 EPSG:900913x2:18 131068 131284 161989 162108 EPSG:900913x2:19 262136 262568 323978 324217 EPSG:900913x2:20 524272 525136 647957 648435 EPSG:900913x2:21 1048545 1050273 1295914 1296871 EPSG:900913x2:22 2097091 2100547 2591828 2593742 EPSG:900913x2:23 4194182 4201094 5183656 5187484 EPSG:900913x2:24 8388364 8402188 10367313 10374968 EPSG:900913x2:25 16776729 16804377 20734626 20749937 EPSG:900913x2:26 33553459 33608755 41469252 41499875 EPSG:900913x2:27 67106919 67217511 82938505 82999751 EPSG:900913x2:28 134213838 134435022 165877010 165999502 EPSG:900913x2:29 268427677 268870045 331754021 331999004 EPSG:900913x2:30 536855355 537740091 663508042 663998008 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 4 EPSG:900913:4 7 8 9 9 EPSG:900913:5 15 16 19 19 EPSG:900913:6 31 32 39 39 EPSG:900913:7 63 64 79 79 EPSG:900913:8 127 128 158 158 EPSG:900913:9 255 256 316 316 EPSG:900913:10 511 512 632 633 EPSG:900913:11 1023 1025 1265 1266 EPSG:900913:12 2047 2051 2531 2532 EPSG:900913:13 4095 4102 5062 5065 EPSG:900913:14 8191 8205 10124 10131 EPSG:900913:15 16383 16410 20248 20263 EPSG:900913:16 32767 32821 40497 40527 EPSG:900913:17 65534 65642 80994 81054 EPSG:900913:18 131068 131284 161989 162108 EPSG:900913:19 262136 262568 323978 324217 EPSG:900913:20 524272 525136 647957 648435 EPSG:900913:21 1048545 1050273 1295914 1296871 EPSG:900913:22 2097091 2100547 2591828 2593742 EPSG:900913:23 4194182 4201094 5183656 5187484 EPSG:900913:24 8388364 8402188 10367313 10374968 EPSG:900913:25 16776729 16804377 20734626 20749937 EPSG:900913:26 33553459 33608755 41469252 41499875 EPSG:900913:27 67106919 67217511 82938505 82999751 EPSG:900913:28 134213838 134435022 165877010 165999502 EPSG:900913:29 268427677 268870045 331754021 331999004 EPSG:900913:30 536855355 537740091 663508042 663998008 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 4 EPSG:4326x2:3 3 4 9 9 EPSG:4326x2:4 7 8 19 19 EPSG:4326x2:5 15 16 39 39 EPSG:4326x2:6 31 32 79 79 EPSG:4326x2:7 63 64 158 158 EPSG:4326x2:8 127 128 316 316 EPSG:4326x2:9 255 256 632 633 EPSG:4326x2:10 511 513 1265 1266 EPSG:4326x2:11 1023 1027 2531 2532 EPSG:4326x2:12 2047 2054 5062 5065 EPSG:4326x2:13 4095 4109 10124 10131 EPSG:4326x2:14 8191 8218 20248 20263 EPSG:4326x2:15 16383 16437 40497 40527 EPSG:4326x2:16 32766 32874 80994 81054 EPSG:4326x2:17 65532 65748 161989 162108 EPSG:4326x2:18 131064 131496 323978 324217 EPSG:4326x2:19 262128 262992 647957 648435 EPSG:4326x2:20 524257 525985 1295914 1296871 EPSG:4326x2:21 1048515 1051971 2591828 2593742 FABDEM v1.2 – Slope (30 m) The slope dataset derived from FABDEM v1.2 represents the rate of change in elevation across the terrain, calculated from the Forest and Buildings Removed Digital Elevation Model at approximately 30-metre spatial resolution. By using FABDEM as the source elevation data, this slope product minimizes the influence of vegetation canopy and built-up structures, providing a more accurate representation of true ground surface gradients. Slope values are typically expressed in degrees (or percent rise, depending on processing settings) and are essential for a wide range of geospatial and environmental applications, including hydrological modelling, soil erosion and land degradation assessment, flood risk analysis, landslide susceptibility mapping, infrastructure planning, and agricultural land suitability analysis. This dataset supports terrain-based decision-making by highlighting areas of steep and gentle slopes, which influence surface runoff, infiltration, accessibility, and land use potential. The slope layer is intended for use alongside other FABDEM-derived products such as elevation, aspect, and hillshade. 39.89894138948103 -2.093455891025119 52.182792484769394 12.096925576554675 geonode:SOM_FABDEM_SLOPE_DEG_4326 other other other other text/xml other other other other other other text/xml other other image/png application/json;type=utfgrid image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 156 165 9 238 258 312 330 10 477 517 625 660 11 954 1035 1250 1320 12 1909 2071 2501 2641 13 3818 4143 5003 5283 14 7637 8287 10007 10566 15 15274 16574 20015 21133 16 30549 33149 40031 42267 17 61098 66298 80062 84535 18 122197 132596 160125 169070 19 244394 265193 320251 338140 20 488788 530386 640502 676281 21 977576 1060773 1281004 1352562 22 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4143 5003 5283 EPSG:900913:14 7637 8287 10007 10566 EPSG:900913:15 15274 16574 20015 21133 EPSG:900913:16 30549 33149 40031 42267 EPSG:900913:17 61098 66298 80062 84535 EPSG:900913:18 122197 132596 160125 169070 EPSG:900913:19 244394 265193 320251 338140 EPSG:900913:20 488788 530386 640502 676281 EPSG:900913:21 977576 1060773 1281004 1352562 EPSG:900913:22 1955153 2121547 2562008 2705125 EPSG:900913:23 3910307 4243095 5124016 5410251 EPSG:900913:24 7820614 8486191 10248033 10820502 EPSG:900913:25 15641229 16972383 20496066 21641004 EPSG:900913:26 31282458 33944767 40992133 43282009 EPSG:900913:27 62564917 67889534 81984267 86564019 EPSG:900913:28 125129835 135779069 163968535 173128038 EPSG:900913:29 250259671 271558138 327937070 346256076 EPSG:900913:30 500519343 543116277 655874140 692512153 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 156 165 EPSG:4326x2:8 110 130 312 330 EPSG:4326x2:9 221 261 625 660 EPSG:4326x2:10 443 523 1250 1320 EPSG:4326x2:11 886 1047 2501 2641 EPSG:4326x2:12 1772 2095 5003 5283 EPSG:4326x2:13 3545 4191 10007 10566 EPSG:4326x2:14 7090 8382 20015 21133 EPSG:4326x2:15 14181 16765 40031 42267 EPSG:4326x2:16 28363 33530 80062 84535 EPSG:4326x2:17 56727 67060 160125 169070 EPSG:4326x2:18 113454 134120 320251 338140 EPSG:4326x2:19 226909 268241 640502 676281 EPSG:4326x2:20 453818 536483 1281004 1352562 EPSG:4326x2:21 907636 1072966 2562008 2705125 Grazing Suitability for Goats - Somalia (1:1500000) This dataset represents the spatial distribution of soil and climate suitability for extensive grazing and forage production across Somalia. The analysis integrates soil, climate, and topographic parameters using a parametric land suitability evaluation framework based on FAO guidelines. Suitability classes include S2 (moderately suitable), S3 (marginally suitable), N1 (temporarily unsuitable), and N2 (permanently unsuitable). Methodology The suitability analysis was conducted using a parametric land evaluation approach following FAO (1976) and Sys et al. (1991), where land suitability is determined by matching environmental conditions with requirements for grazing and forage production. A national land database was developed by integrating: Somalia soil map (250,000 scale, SWALIM 2020) SoilGrids global soil data (250 m resolution, machine learning-based) WoSIS soil profile database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model (30 m) Due to limited field soil data (~25% land unit coverage), SoilGrids was used to derive key soil properties across multiple depths . Each land unit was evaluated using: Climate factors (rainfall, temperature, LGP) Soil properties (texture, depth, salinity, fertility, drainage) Terrain characteristics (slope, elevation) A matching table approach was applied, where: Parameters were classified into suitability levels (S1–N2) Numerical ratings (0–100) were assigned Weighted aggregation produced a final suitability index The evaluation emphasizes biomass production potential and resilience to harsh conditions, which are critical for grazing systems. Final suitability classes: S2: Moderately suitable S3: Marginally suitable N1: Temporarily unsuitable N2: Permanently unsuitable Data Sources Somalia Soil Map (SWALIM, 2020) SoilGrids (ISRIC – Global soil database) WoSIS Soil Profile Database SRTM DEM (30 m resolution) SWALIM Length of Growing Period (LGP, 2007) Climate data (rainfall and temperature) Spatial Resolution Soil data: 250 m (SoilGrids) DEM: 30 m Output map scale: 1:1,500,000 40.902916811703626 -1.6586869973246365 51.44900467641144 12.04750671521756 geonode:sm_goats_suit_v2 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 129 157 164 9 238 258 314 329 10 477 516 628 658 11 954 1033 1256 1316 12 1909 2066 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EPSG:4326:2 1 2 4 5 EPSG:4326:3 3 4 9 10 EPSG:4326:4 6 8 19 20 EPSG:4326:5 13 16 39 41 EPSG:4326:6 27 32 78 82 EPSG:4326:7 55 65 157 164 EPSG:4326:8 110 130 314 329 EPSG:4326:9 221 260 628 658 EPSG:4326:10 443 521 1256 1316 EPSG:4326:11 886 1042 2513 2633 EPSG:4326:12 1773 2085 5026 5266 EPSG:4326:13 3547 4171 10053 10533 EPSG:4326:14 7095 8342 20107 21067 EPSG:4326:15 14190 16685 40214 42134 EPSG:4326:16 28381 33371 80428 84268 EPSG:4326:17 56763 66743 160856 168536 EPSG:4326:18 113526 133487 321713 337072 EPSG:4326:19 227053 266975 643426 674144 EPSG:4326:20 454106 533950 1286852 1348288 EPSG:4326:21 908212 1067901 2573705 2696576 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 14 16 19 20 EPSG:900913x2:6 29 32 39 41 EPSG:900913x2:7 59 64 78 82 EPSG:900913x2:8 119 129 157 164 EPSG:900913x2:9 238 258 314 329 EPSG:900913x2:10 477 516 628 658 EPSG:900913x2:11 954 1033 1256 1316 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EPSG:900913:4 7 8 9 10 EPSG:900913:5 14 16 19 20 EPSG:900913:6 29 32 39 41 EPSG:900913:7 59 64 78 82 EPSG:900913:8 119 129 157 164 EPSG:900913:9 238 258 314 329 EPSG:900913:10 477 516 628 658 EPSG:900913:11 954 1033 1256 1316 EPSG:900913:12 1909 2066 2513 2633 EPSG:900913:13 3819 4133 5026 5266 EPSG:900913:14 7639 8267 10053 10533 EPSG:900913:15 15279 16534 20107 21067 EPSG:900913:16 30558 33069 40214 42134 EPSG:900913:17 61116 66139 80428 84268 EPSG:900913:18 122233 132279 160856 168536 EPSG:900913:19 244467 264559 321713 337072 EPSG:900913:20 488935 529119 643426 674144 EPSG:900913:21 977871 1058239 1286852 1348288 EPSG:900913:22 1955742 2116479 2573705 2696576 EPSG:900913:23 3911484 4232959 5147411 5393152 EPSG:900913:24 7822969 8465919 10294822 10786305 EPSG:900913:25 15645939 16931838 20589644 21572610 EPSG:900913:26 31291879 33863676 41179288 43145221 EPSG:900913:27 62583759 67727353 82358576 86290443 EPSG:900913:28 125167518 135454707 164717153 172580886 EPSG:900913:29 250335037 270909414 329434306 345161772 EPSG:900913:30 500670074 541818829 658868613 690323545 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 65 157 164 EPSG:4326x2:8 110 130 314 329 EPSG:4326x2:9 221 260 628 658 EPSG:4326x2:10 443 521 1256 1316 EPSG:4326x2:11 886 1042 2513 2633 EPSG:4326x2:12 1773 2085 5026 5266 EPSG:4326x2:13 3547 4171 10053 10533 EPSG:4326x2:14 7095 8342 20107 21067 EPSG:4326x2:15 14190 16685 40214 42134 EPSG:4326x2:16 28381 33371 80428 84268 EPSG:4326x2:17 56763 66743 160856 168536 EPSG:4326x2:18 113526 133487 321713 337072 EPSG:4326x2:19 227053 266975 643426 674144 EPSG:4326x2:20 454106 533950 1286852 1348288 EPSG:4326x2:21 908212 1067901 2573705 2696576 Soil_100K_S_FAOSWALIM This datasets shows a semi detailed soil map at a scale of 1:100,000 for for Juba and Shabelle Riverine Areas in south Somalia. 41.89169460000005 -0.266810086999953 46.150032544000055 5.060045358000025 geonode:soil_100k_s_faoswalim other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 1317419 22 2038121 2100260 2585225 2634838 23 4076242 4200521 5170451 5269677 24 8152485 8401042 10340902 10539355 EPSG:3857x2 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 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EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454439 168629686 EPSG:900913:29 260879541 268833353 330908879 337259372 EPSG:900913:30 521759082 537666706 661817758 674518745 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Land Cover of part of Somaliland The Methodology adopted for land cover classes involved processing of satellite images of Landsat, Aster and Ikonos.This was followed by photointerpretation and and production of basemaps by SWALIM. Field data collection was then carried out and the maps then revised. Please refer to FAO-SWALIM Technical report number 03 for more information on this. 43.007251089913694 9.162947876314933 44.46284752986155 10.691058244859452 geonode:land_covernorth other other other other other text/xml other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 4 4 7 7 9 9 5 15 15 19 19 6 30 30 39 39 7 60 60 79 79 8 120 121 158 159 9 240 242 317 319 10 481 485 634 638 11 962 971 1268 1276 12 1925 1943 2537 2553 13 3851 3886 5074 5107 14 7702 7773 10149 10215 15 15405 15546 20298 20431 16 30810 31092 40597 40862 17 61620 62185 81194 81724 18 123241 124371 162388 163448 19 246482 248742 324777 326897 20 492965 497484 649555 653795 21 985931 994968 1299111 1307590 22 1971862 1989937 2598222 2615181 23 3943725 3979875 5196445 5230363 24 7887451 7959751 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451 459 1268 1276 EPSG:4326x2:11 902 919 2537 2553 EPSG:4326x2:12 1804 1839 5074 5107 EPSG:4326x2:13 3609 3678 10149 10215 EPSG:4326x2:14 7218 7357 20298 20431 EPSG:4326x2:15 14437 14715 40597 40862 EPSG:4326x2:16 28875 29431 81194 81724 EPSG:4326x2:17 57751 58863 162388 163448 EPSG:4326x2:18 115502 117727 324777 326897 EPSG:4326x2:19 231004 235454 649555 653795 EPSG:4326x2:20 462008 470909 1299111 1307590 EPSG:4326x2:21 924016 941819 2598222 2615181 Somalia Livestock Trade Routes The Livestock Trade Routes were prepared by combining field Livestock reports on livestock trade routes from the villages to the markets, with the Somalia Roads datasets retrieved from Open Street Maps and the Secondary roads authored by WFP and ADA 2010. The dataset contains a name column that indicates the route from and the the destination market e.g Tallex-Garoowe. In places where a primary road exist, the route was selected however in areas where it is non-existent, the secondary routes was selected instead. The routes are updated as new field data becomes available. 40.994600000089974 -1.13716800030295 50.81198699990017 11.574416000398173 geonode:som_livestock_trade_routes_aug2022 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 14 16 19 20 6 29 32 39 41 7 59 64 78 82 8 119 128 157 164 9 239 257 314 328 10 478 515 628 656 11 957 1030 1257 1313 12 1915 2060 2514 2626 13 3830 4121 5028 5252 14 7661 8243 10057 10504 15 15323 16487 20115 21009 16 30646 32975 40230 42018 17 61292 65950 80461 84036 18 122585 131900 160923 168072 19 245171 263800 321846 336144 20 490343 527600 643693 672288 21 980686 1055200 1287386 1344577 22 1961373 2110401 2574773 2689154 23 3922747 4220803 5149547 5378309 24 7845494 8441607 10299094 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EPSG:900913:16 30646 32975 40230 42018 EPSG:900913:17 61292 65950 80461 84036 EPSG:900913:18 122585 131900 160923 168072 EPSG:900913:19 245171 263800 321846 336144 EPSG:900913:20 490343 527600 643693 672288 EPSG:900913:21 980686 1055200 1287386 1344577 EPSG:900913:22 1961373 2110401 2574773 2689154 EPSG:900913:23 3922747 4220803 5149547 5378309 EPSG:900913:24 7845494 8441607 10299094 10756618 EPSG:900913:25 15690988 16883214 20598189 21513236 EPSG:900913:26 31381977 33766429 41196379 43026472 EPSG:900913:27 62763955 67532858 82392758 86052945 EPSG:900913:28 125527911 135065717 164785517 172105891 EPSG:900913:29 251055823 270131435 329571034 344211783 EPSG:900913:30 502111647 540262870 659142069 688423566 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 6 8 19 20 EPSG:4326x2:5 13 16 39 41 EPSG:4326x2:6 27 32 78 82 EPSG:4326x2:7 55 64 157 164 EPSG:4326x2:8 111 129 314 328 EPSG:4326x2:9 223 259 628 656 EPSG:4326x2:10 446 518 1257 1313 EPSG:4326x2:11 892 1036 2514 2626 EPSG:4326x2:12 1784 2073 5028 5252 EPSG:4326x2:13 3569 4147 10057 10504 EPSG:4326x2:14 7138 8295 20115 21009 EPSG:4326x2:15 14276 16591 40230 42018 EPSG:4326x2:16 28553 33182 80461 84036 EPSG:4326x2:17 57107 66364 160923 168072 EPSG:4326x2:18 114215 132728 321846 336144 EPSG:4326x2:19 228431 265456 643693 672288 EPSG:4326x2:20 456862 530912 1287386 1344577 EPSG:4326x2:21 913724 1061824 2574773 2689154 Maize Suitability - Belet Weyne (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 45.00259092982955 4.598546930118176 45.28620156080992 5.007539076935439 geonode:belet_weyne_maize_suitability_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 2621470 2624774 23 4077471 4087034 5242940 5249548 24 8154942 8174069 10485880 10499097 EPSG:3857x2 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 62 80 80 8 124 124 160 160 9 248 249 320 320 10 497 498 640 640 11 995 997 1280 1281 12 1990 1995 2560 2563 13 3981 3991 5120 5126 14 7963 7982 10240 10253 15 15927 15964 20480 20506 16 31855 31929 40960 41012 17 63710 63859 81920 82024 18 127420 127719 163841 164048 19 254841 255439 327683 328096 20 509683 510879 655367 656193 21 1019367 1021758 1310735 1312387 22 2038735 2043517 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EPSG:900913x2:8 124 124 160 160 EPSG:900913x2:9 248 249 320 320 EPSG:900913x2:10 497 498 640 640 EPSG:900913x2:11 995 997 1280 1281 EPSG:900913x2:12 1990 1995 2560 2563 EPSG:900913x2:13 3981 3991 5120 5126 EPSG:900913x2:14 7963 7982 10240 10253 EPSG:900913x2:15 15927 15964 20480 20506 EPSG:900913x2:16 31855 31929 40960 41012 EPSG:900913x2:17 63710 63859 81920 82024 EPSG:900913x2:18 127420 127719 163841 164048 EPSG:900913x2:19 254841 255439 327683 328096 EPSG:900913x2:20 509683 510879 655367 656193 EPSG:900913x2:21 1019367 1021758 1310735 1312387 EPSG:900913x2:22 2038735 2043517 2621470 2624774 EPSG:900913x2:23 4077471 4087034 5242940 5249548 EPSG:900913x2:24 8154942 8174069 10485880 10499097 EPSG:900913x2:25 16309884 16348139 20971761 20998195 EPSG:900913x2:26 32619768 32696278 41943522 41996391 EPSG:900913x2:27 65239536 65392557 83887045 83992783 EPSG:900913x2:28 130479073 130785115 167774091 167985567 EPSG:900913x2:29 260958147 261570231 335548183 335971134 EPSG:900913x2:30 521916294 523140462 671096367 671942269 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 62 80 80 EPSG:900913:8 124 124 160 160 EPSG:900913:9 248 249 320 320 EPSG:900913:10 497 498 640 640 EPSG:900913:11 995 997 1280 1281 EPSG:900913:12 1990 1995 2560 2563 EPSG:900913:13 3981 3991 5120 5126 EPSG:900913:14 7963 7982 10240 10253 EPSG:900913:15 15927 15964 20480 20506 EPSG:900913:16 31855 31929 40960 41012 EPSG:900913:17 63710 63859 81920 82024 EPSG:900913:18 127420 127719 163841 164048 EPSG:900913:19 254841 255439 327683 328096 EPSG:900913:20 509683 510879 655367 656193 EPSG:900913:21 1019367 1021758 1310735 1312387 EPSG:900913:22 2038735 2043517 2621470 2624774 EPSG:900913:23 4077471 4087034 5242940 5249548 EPSG:900913:24 8154942 8174069 10485880 10499097 EPSG:900913:25 16309884 16348139 20971761 20998195 EPSG:900913:26 32619768 32696278 41943522 41996391 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produced through visual interpretation of Sentinel 1 and Sentinel 2 images.The actual flood extent may be different than the actual due to cloud cover on analysis images that hindered assessment in some areas and limitations of radar to detect flooding within urban areas 45.411623311211365 2.429279697911902 45.59944702148437 2.876478139269138 geonode:floods_gu_2025 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 5 5 4 7 7 10 10 5 15 15 20 20 6 31 31 40 40 7 62 63 80 80 8 125 126 160 160 9 251 252 320 320 10 503 505 641 641 11 1007 1010 1282 1283 12 2015 2020 2564 2566 13 4030 4040 5129 5133 14 8061 8081 10258 10267 15 16122 16162 20517 20534 16 32244 32325 41034 41069 17 64488 64651 82069 82138 18 128976 129302 164139 164276 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EPSG:4326:9 247 249 641 641 EPSG:4326:10 495 498 1282 1283 EPSG:4326:11 991 996 2564 2566 EPSG:4326:12 1982 1992 5129 5133 EPSG:4326:13 3965 3985 10258 10267 EPSG:4326:14 7930 7970 20517 20534 EPSG:4326:15 15860 15941 41034 41069 EPSG:4326:16 31720 31883 82069 82138 EPSG:4326:17 63441 63767 164139 164276 EPSG:4326:18 126882 127534 328279 328553 EPSG:4326:19 253765 255068 656558 657106 EPSG:4326:20 507531 510136 1313117 1314212 EPSG:4326:21 1015062 1020272 2626235 2628424 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 0 1 1 EPSG:900913x2:2 1 1 2 2 EPSG:900913x2:3 3 3 5 5 EPSG:900913x2:4 7 7 10 10 EPSG:900913x2:5 15 15 20 20 EPSG:900913x2:6 31 31 40 40 EPSG:900913x2:7 62 63 80 80 EPSG:900913x2:8 125 126 160 160 EPSG:900913x2:9 251 252 320 320 EPSG:900913x2:10 503 505 641 641 EPSG:900913x2:11 1007 1010 1282 1283 EPSG:900913x2:12 2015 2020 2564 2566 EPSG:900913x2:13 4030 4040 5129 5133 EPSG:900913x2:14 8061 8081 10258 10267 EPSG:900913x2:15 16122 16162 20517 20534 EPSG:900913x2:16 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EPSG:4326x2:10 495 498 1282 1283 EPSG:4326x2:11 991 996 2564 2566 EPSG:4326x2:12 1982 1992 5129 5133 EPSG:4326x2:13 3965 3985 10258 10267 EPSG:4326x2:14 7930 7970 20517 20534 EPSG:4326x2:15 15860 15941 41034 41069 EPSG:4326x2:16 31720 31883 82069 82138 EPSG:4326x2:17 63441 63767 164139 164276 EPSG:4326x2:18 126882 127534 328279 328553 EPSG:4326x2:19 253765 255068 656558 657106 EPSG:4326x2:20 507531 510136 1313117 1314212 EPSG:4326x2:21 1015062 1020272 2626235 2628424 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 1 1 EPSG:900913:2 1 1 2 2 EPSG:900913:3 3 3 5 5 EPSG:900913:4 7 7 10 10 EPSG:900913:5 15 15 20 20 EPSG:900913:6 31 31 40 40 EPSG:900913:7 62 63 80 80 EPSG:900913:8 125 126 160 160 EPSG:900913:9 251 252 320 320 EPSG:900913:10 503 505 641 641 EPSG:900913:11 1007 1010 1282 1283 EPSG:900913:12 2015 2020 2564 2566 EPSG:900913:13 4030 4040 5129 5133 EPSG:900913:14 8061 8081 10258 10267 EPSG:900913:15 16122 16162 20517 20534 EPSG:900913:16 32244 32325 41034 41069 EPSG:900913:17 64488 64651 82069 82138 EPSG:900913:18 128976 129302 164139 164276 EPSG:900913:19 257953 258605 328279 328553 EPSG:900913:20 515906 517210 656558 657106 EPSG:900913:21 1031812 1034420 1313117 1314212 EPSG:900913:22 2063624 2068840 2626235 2628424 EPSG:900913:23 4127249 4137680 5252471 5256848 EPSG:900913:24 8254498 8275361 10504943 10513696 EPSG:900913:25 16508996 16550722 21009886 21027392 EPSG:900913:26 33017992 33101445 42019772 42054785 EPSG:900913:27 66035984 66202891 84039544 84109570 EPSG:900913:28 132071968 132405782 168079088 168219140 EPSG:900913:29 264143937 264811565 336158177 336438280 EPSG:900913:30 528287875 529623131 672316354 672876560 Forest Suitability of ConocarpusLancifolius in South Somalia The data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Conocarpus Lancifoliusin selected areas in southern part of Somalia (Juba and Shabelle riverine areas). 41.891693115000066 -0.266810088999932 46.15003204300007 5.060045242000058 geonode:som_land_forestsuitability_conocarpuslancifol0 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 1 1 1 2 1 2 2 2 3 3 4 4 5 4 7 8 9 10 5 15 16 19 20 6 31 32 39 40 7 62 64 78 80 8 124 128 157 160 9 248 256 315 321 10 497 512 631 643 11 995 1025 1262 1286 12 1990 2051 2524 2573 13 3980 4102 5049 5146 14 7961 8204 10098 10292 15 15922 16408 20197 20584 16 31845 32816 40394 41169 17 63691 65633 80788 82338 18 127382 131266 161576 164677 19 254765 262532 323153 329354 20 509530 525065 646306 658709 21 1019060 1050130 1292612 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EPSG:4326:12 1932 2054 5049 5146 EPSG:4326:13 3865 4108 10098 10292 EPSG:4326:14 7731 8216 20197 20584 EPSG:4326:15 15462 16432 40394 41169 EPSG:4326:16 30925 32865 80788 82338 EPSG:4326:17 61851 65730 161576 164677 EPSG:4326:18 123702 131460 323153 329354 EPSG:4326:19 247405 262921 646306 658709 EPSG:4326:20 494811 525842 1292612 1317419 EPSG:4326:21 989622 1051684 2585225 2634838 EPSG:900913x2 EPSG:900913x2:0 0 0 0 0 EPSG:900913x2:1 0 1 1 1 EPSG:900913x2:2 1 2 2 2 EPSG:900913x2:3 3 4 4 5 EPSG:900913x2:4 7 8 9 10 EPSG:900913x2:5 15 16 19 20 EPSG:900913x2:6 31 32 39 40 EPSG:900913x2:7 62 64 78 80 EPSG:900913x2:8 124 128 157 160 EPSG:900913x2:9 248 256 315 321 EPSG:900913x2:10 497 512 631 643 EPSG:900913x2:11 995 1025 1262 1286 EPSG:900913x2:12 1990 2051 2524 2573 EPSG:900913x2:13 3980 4102 5049 5146 EPSG:900913x2:14 7961 8204 10098 10292 EPSG:900913x2:15 15922 16408 20197 20584 EPSG:900913x2:16 31845 32816 40394 41169 EPSG:900913x2:17 63691 65633 80788 82338 EPSG:900913x2:18 127382 131266 161576 164677 EPSG:900913x2:19 254765 262532 323153 329354 EPSG:900913x2:20 509530 525065 646306 658709 EPSG:900913x2:21 1019060 1050130 1292612 1317419 EPSG:900913x2:22 2038121 2100260 2585225 2634838 EPSG:900913x2:23 4076242 4200521 5170451 5269677 EPSG:900913x2:24 8152485 8401042 10340902 10539355 EPSG:900913x2:25 16304971 16802084 20681804 21078710 EPSG:900913x2:26 32609942 33604169 41363609 42157421 EPSG:900913x2:27 65219885 67208338 82727219 84314843 EPSG:900913x2:28 130439770 134416676 165454438 168629686 EPSG:900913x2:29 260879541 268833353 330908876 337259372 EPSG:900913x2:30 521759082 537666706 661817753 674518744 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 1 1 1 EPSG:900913:2 1 2 2 2 EPSG:900913:3 3 4 4 5 EPSG:900913:4 7 8 9 10 EPSG:900913:5 15 16 19 20 EPSG:900913:6 31 32 39 40 EPSG:900913:7 62 64 78 80 EPSG:900913:8 124 128 157 160 EPSG:900913:9 248 256 315 321 EPSG:900913:10 497 512 631 643 EPSG:900913:11 995 1025 1262 1286 EPSG:900913:12 1990 2051 2524 2573 EPSG:900913:13 3980 4102 5049 5146 EPSG:900913:14 7961 8204 10098 10292 EPSG:900913:15 15922 16408 20197 20584 EPSG:900913:16 31845 32816 40394 41169 EPSG:900913:17 63691 65633 80788 82338 EPSG:900913:18 127382 131266 161576 164677 EPSG:900913:19 254765 262532 323153 329354 EPSG:900913:20 509530 525065 646306 658709 EPSG:900913:21 1019060 1050130 1292612 1317419 EPSG:900913:22 2038121 2100260 2585225 2634838 EPSG:900913:23 4076242 4200521 5170451 5269677 EPSG:900913:24 8152485 8401042 10340902 10539355 EPSG:900913:25 16304971 16802084 20681804 21078710 EPSG:900913:26 32609942 33604169 41363609 42157421 EPSG:900913:27 65219885 67208338 82727219 84314843 EPSG:900913:28 130439770 134416676 165454438 168629686 EPSG:900913:29 260879541 268833353 330908876 337259372 EPSG:900913:30 521759082 537666706 661817753 674518744 EPSG:4326x2 EPSG:4326x2:0 0 0 1 1 EPSG:4326x2:1 0 1 2 2 EPSG:4326x2:2 1 2 4 5 EPSG:4326x2:3 3 4 9 10 EPSG:4326x2:4 7 8 19 20 EPSG:4326x2:5 15 16 39 40 EPSG:4326x2:6 30 32 78 80 EPSG:4326x2:7 60 64 157 160 EPSG:4326x2:8 120 128 315 321 EPSG:4326x2:9 241 256 631 643 EPSG:4326x2:10 483 513 1262 1286 EPSG:4326x2:11 966 1027 2524 2573 EPSG:4326x2:12 1932 2054 5049 5146 EPSG:4326x2:13 3865 4108 10098 10292 EPSG:4326x2:14 7731 8216 20197 20584 EPSG:4326x2:15 15462 16432 40394 41169 EPSG:4326x2:16 30925 32865 80788 82338 EPSG:4326x2:17 61851 65730 161576 164677 EPSG:4326x2:18 123702 131460 323153 329354 EPSG:4326x2:19 247405 262921 646306 658709 EPSG:4326x2:20 494811 525842 1292612 1317419 EPSG:4326x2:21 989622 1051684 2585225 2634838 Onion Suitability - Afgooye (1:25000) This dataset represents soil and climate suitability for agricultural production across selected areas of Somalia. The analysis applies a parametric land evaluation approach based on FAO guidelines, integrating soil, climate, and topographic characteristics. Suitability classes include S1 (Highly Suitable), S2 (Moderately Suitable), S3 (Marginally Suitable), N1 (Currently Not Suitable), and N2 (Permanently Not Suitable), reflecting varying levels of limitations affecting agricultural productivity. The dataset has been developed for multiple districts including Jowhar, Kismaayo, Beletweyne, Afgooye and Luuq under resilience and agricultural development initiatives. Methodology Land suitability was undertaken by considering land utilization types for rainfed and irrigated agriculture. The process involved assessing land use requirements, land characteristics, and land qualities such as moisture availability, radiation regime, and soil workability. A parametric approach rated limitations on a five-level scale, producing numerical scores based on crop-specific root zone evaluations. The matching of land-use requirements with land qualities and land characteristics determines the suitability of a particular land unit for a particular land utilization type. The ranking values are then summarized, giving each land unit a class of suitability. The classes are: S1 – Highly Suitable: Land with no or only minor limitations that do not significantly affect productivity, benefits, or input requirements. S2 – Moderately Suitable: Land with moderately severe limitations that reduce productivity and increase inputs compared to S1. S3 – Marginally Suitable: Land with severe limitations that significantly reduce productivity or require high inputs. N1 – Currently Not Suitable: Land with very severe limitations that prevent sustained use under current conditions but may be improved. N2 – Permanently Not Suitable: Land with extreme limitations that make sustained agricultural use impossible. Data Sources Somalia Soil Map (SWALIM) SoilGrids (ISRIC) WoSIS Soil Database Climate data (rainfall and temperature) Length of Growing Period (LGP) SRTM Digital Elevation Model FABDEM (30 m) FAO-SWALIM and UNDP datasets Project Context This dataset was produced for targeted Areas of Interest (AOIs) under resilience and agricultural development initiatives, including projects such as: Climate-resilient Livelihoods to Boost Food Production and Nutrition Outcomes (CLIMB) Somalia Crisis Recovery Project (SCRP) Building Resilience in Middle Shabelle (BRiMS Phase 1) 44.646415213680655 1.7254052015155181 45.166210734033186 2.1889063752801454 geonode:afgooye__onion_suitability_map_v1 other other other other text/xml other other application/json;type=utfgrid image/png image/vnd.jpeg-png image/jpeg image/vnd.jpeg-png8 image/gif image/png8 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:3857 0 0 0 0 0 1 0 0 1 1 2 1 1 2 2 3 3 3 4 5 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