My GeoServer WFSThis is a description of your Web Feature Server.
The GeoServer is a full transactional Web Feature Server, you may wish to limit
GeoServer to a Basic service level to prevent modificaiton of your geographic
data.WFSWMSGEOSERVERWFS1.1.0NONENONE1.0.01.1.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiestext/xml; subtype=gml/3.1.1resultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.22ALLSOMEresultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.2text/xml; subtype=gml/3.1.1GenerateNewUseExistingReplaceDuplicateALLSOMEQueryInsertUpdateDeleteLockgeonode:SOM_ASTER_ImageIndex_GranuleASTER_ImageIndex_Granule_SomaliaImage 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.indeximageSOM_ASTER_ImageIndex_Granulegranulesomaliaurn:x-ogc:def:crs:EPSG:432640.9323272705078 -0.77985900640487748.464958190918 11.7152366638184https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=96016b26-1053-11ea-886c-eab1b014fce8geonode:Mogadishu_Adminbnda_Districts_UNOCHAAdministrative Districts Within MogadishuDigital city map of Mogadishu based on local city maps, NIMA city maps, Landsat ETM+ and QB-imagesdistrictsmogadishuurn:x-ogc:def:crs:EPSG:432645.2295188903809 1.9743698835372945.4330406188965 2.09987998008728https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cf593d56-09cb-11ea-886c-eab1b014fce8geonode:SOM_Adminbnda_Adm3_Districts_UNOCHAAdministrative Districts of SomaliaSomalia country administrative boundary admin3 (Districts of Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is contributor.Mogadishu_Adminbnda_Districts_UNOCHASomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130363464355 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e1f4fb12-09d0-11ea-886c-eab1b014fce8geonode:SOM_Adminbnda_Adm2_Regions_UNOCHAAdministrative Regions Within SomaliaSomalia country administrative boundary admin2 (Regionsof Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is contributor.SOM_Adminbnda_Adm2_Regions_UNOCHAfeaturesurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130363464355 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9b987ee4-09cd-11ea-886c-eab1b014fce8geonode:SOM_Adminbnda_Adm1_States_UNOCHAAdministrative States Within SomaliaSomalia country administrative boundary admin 1(States of Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is contributor.statessomaliaurn:x-ogc:def:crs:EPSG:432640.9886322021484 -1.6542383432388351.415153503418 11.9883642196655https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=564562e4-09cd-11ea-886c-eab1b014fce8geonode:Afgooye_PotentialHigherGround_forFloodEvacuatAfgooye District Suitable Potential Higher Grounds For Evacuation During FloodingDatasets 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.Afgooye_PotentialHigherGround_forFloodEvacuation_02102023urn:x-ogc:def:crs:EPSG:432644.7123031616211 1.9587411880493245.3428611755371 2.26165652275085https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2b5603f8-6294-11ee-b3a3-eab1b014fce8geonode:Africa_Adm0_CountryAfrica_Country Administrative BoundariesThis dataset is about Africa Admin boundaries level 0(country level).africaboundaryadministrativecountryurn:x-ogc:def:crs:EPSG:4326-17.5352382659912 -34.839828491210956.2795066833496 37.3496131896973https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e5421d6c-09c7-11ea-886c-eab1b014fce8geonode:SOM_Land_AgriSuitability_Citrus_S_FAOSWALIM0Agri-Suitability of Citrus in South SomaliaThe 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).citrusagri-suitabilitysomaliasouthurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9fece11c-15c4-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_Cowpea_N_FAOSWALIM0Agri-Suitability of Cowpea in North SomaliaThe 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)SOM_Cropland_GFSAD_30m_2015northcowpeasuitabilitysomaliaagriculturalurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0a425de4-14df-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_Maize_N_FAOSWALIM0Agri-Suitability of Maize North SomaliaThe 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)maizeagri-suitabilitynorthsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=41ace094-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_Rice_S_FAOSWALIM0Agri-Suitability of Rice in South SomaliaThe 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).riceagri-suitabilitysomaliasouthurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=45fe0560-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_SorghumR1_N_FAOSWALIAgri-Suitability of SorghumR1 in North SomaliaThe 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)sorghumagri-suitabilitynorthsomaliaSOM_Land_AgriSuitability_SorghumR1_N_FAOSWALIMurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4a4225e8-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_SorghumR2_N_FAOSWALIAgri-Suitability of SorghumR2 in North of SomaliaThe 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)SOM_Land_AgriSuitability_SorghumR2_N_FAOSWALIMagri-suitabilitynorthsomaliasorghumurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4f0453bc-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_Sugarcane_S_FAOSWALIAgri-Suitability of Sugarcane in South SomaliaThe 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).sugarcaneagri-suitabilitysomaliasouthurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=536b8682-15c8-11ea-b221-eab1b014fce8geonode:Agrimask_Galgaduud_20th_SeptAgrimask_Galgaduud_20th_SeptNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.46184559197604 3.586193711620295847.60361319044937 5.9521132160653005https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=09e0cffe-dfe2-11ec-b567-eab1b014fce8geonode:Agrimask_Galgaduud_29th_Aug_2022Agrimask_Galgaduud_29th_Aug_2022No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.44998573733093 3.586193711620295847.60035691464002 5.213146661884031https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a7988d22-2777-11ed-9225-eab1b014fce8geonode:Airfields_UNSOSAirfields_UNSOSThis layer contains data about airfields locations in Somalia. The layer is updated by the United Nations Support Office in Somalia (UNSOS)somaliaSOM_airfields_Feb2007_GCSurn:x-ogc:def:crs:EPSG:432641.029109954834 -0.38933300971984951.3264274597168 11.9474401473999https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=49f4d194-1785-11ea-b221-eab1b014fce8geonode:Baardheere_Potential_HigherGroundsSuitableforBaardheere District Suitable Potential Higher Grounds For Evacuations During FloodingDatasets 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.Bar Dheereurn:x-ogc:def:crs:EPSG:3263842.121193119371235 1.953416288856356742.42570444583845 2.5799297714105376https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=58fe59e4-6295-11ee-b3a3-eab1b014fce8geonode:Bakool_AgriMask_Isse_BenardBakool_AgriMask_Isse_BenardNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263843.83381312467169 3.87228224366541544.31242111051386 4.961087346036617https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3c6d54ae-9414-11ea-a35b-eab1b014fce8geonode:Bakool_Suufi_Agrimask_JulieBakool_Suufi_Agrimask_JulieNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.09694845615015 3.338046185075294544.785380052705435 4.958336524825602https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1e05a3f2-9fec-11ea-8409-eab1b014fce8geonode:BeletWeyne_Potential_Suitable_Higher_Grounds_0Belet Weyne District Suitable Potential Higher Grounds for Evacuation During FloodingDatasets 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.elninofloodssomaliaevacuationbeletweynehighergroundsurn:x-ogc:def:crs:EPSG:432644.8455009460449 4.3405504226684645.4153709411621 5.06559038162231https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b4929b42-5874-11ee-b3a3-eab1b014fce8geonode:Beletweyne_Openbuildings_dataset_assessment_gBeletweyne_Openbuildings_dataset_assessment_gNo abstract providedBeletweyne_Openbuildings_dataset_assessment_grid_polygonfeaturesurn:x-ogc:def:crs:EPSG:3263845.15594717202501 4.68902223657888345.25967452300951 4.7840432986208805https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9eb87212-4091-11ec-bd98-eab1b014fce8geonode:Beletweyne_Openbuildings_dataset_assessment_g0Beletweyne_Openbuildings_dataset_assessment_g0No abstract providedBeletweyne_Openbuildings_dataset_assessment_gridfeaturesurn:x-ogc:def:crs:EPSG:3263845.15594738100767 4.68996450142154945.25966494153103 4.7840432986208805https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fa008a1a-4091-11ec-bd98-eab1b014fce8geonode:Beletweyne_Openbuildings_dataset_clipped_filtBeletweyne_Openbuildings_dataset_clipped_filtNo abstract providedBeletweyne_Openbuildings_dataset_clipped_filtered_UTMfeaturesurn:x-ogc:def:crs:EPSG:3263845.155934785418 4.69034386587731645.259739900165556 4.7840370819384646https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5aaaa26c-4090-11ec-bd98-eab1b014fce8geonode:SOM_Jilib_Charcoal_Production_FAOSWALIMCharcoal Production Sites in Jilib_SomaliaThe 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.jilibCharcoalsites_2018_2019_Antonyproductioncharcoalsites_2018_2019_Benardurn:x-ogc:def:crs:EPSG:432642.8607406616211 0.52092522382736242.8797569274902 0.532836496829987https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3106e2c6-169f-11ea-b221-eab1b014fce8geonode:ch_2011_20130Charcoal 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.somaliaproscal2011/2018SOM_Flooded_Areas_Dayr_2013charcoalsites_2018_2019_Benardurn:x-ogc:def:crs:EPSG:432641.177375793457 -1.2959226369857843.1520118713379 1.37009334564209https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=187519f0-5af3-11eb-91ff-eab1b014fce8geonode:ch_2014_20160Charcoal 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.somaliaFlood_Mapping_Juba_May2016proscalcharcoalsites_2018_2019_BenardDotGrid2014urn:x-ogc:def:crs:EPSG:432641.1956329345703 -1.5755876302719143.1609954833984 1.20752143859863https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=aad79dc2-5af3-11eb-91ff-eab1b014fce8geonode:ch_2017_20190Charcoal Sites (2017-2019)The dataset shows the dynamics of charcoal production in Somalia from 2017 to 2019.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 2017 to 2019. 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.proscalcharcoalsites_2018_2019_Benardsomaliaurn:x-ogc:def:crs:EPSG:432640.9957885742188 -1.6171237230300943.0554618835449 1.29524850845337https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9b59496c-5af4-11eb-91ff-eab1b014fce8geonode:Charcoal_Kilns_FinalCharcoal_Kilns_FinalNo abstract providedCharcoal_Kilns_Finalfeaturesurn:x-ogc:def:crs:EPSG:432643.8493270874023 2.7892601490020845.2187919616699 3.92365670204163https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6565efee-9f91-11ec-8852-eab1b014fce8geonode:Charcoal_Kilns_Final_14032022Charcoal_Kilns_Final_14032022No abstract providedCharcoal_Kilns_Final_14032022featuresurn:x-ogc:def:crs:EPSG:432643.8493270874023 2.7416589260101345.2325439453125 3.92365670204163https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=577d88d2-a39d-11ec-bed5-eab1b014fce8geonode:Charcoal_Kilns_Final_ExtendedCharcoal_Kilns_Final_ExtendedNo abstract providedCharcoal_Kilns_Final_Extendedfeaturesurn:x-ogc:def:crs:EPSG:432643.8493270874023 2.7416589260101345.2325439453125 3.92365670204163https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=12aad398-9fad-11ec-8852-eab1b014fce8geonode:Climate_Zones_in_SomaliaClimate Zones in SomaliaData 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.zonesclimatesomaliaurn:x-ogc:def:crs:EPSG:432640.989501953125 -1.6600613594055251.4141273498535 11.9859428405762https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=15ee68ee-177e-11ea-b221-eab1b014fce8geonode:SOM_Adminbnda_Neighbouring_CountriesCountries Neighboring SomaliaAdministrative boundaries of Somalia neighbouring countriesNeighboringSomaliacountriesurn:x-ogc:def:crs:EPSG:432632.9999389648438 -4.6780467033386254.5305290222168 19.0023326873779https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=361bb4ae-09ce-11ea-886c-eab1b014fce8geonode:SOM_River_Culvert_FAOSWALIMCulverts along Juba and ShabelleLocations of culverts along Juba and Shabelle rivers in Somalia. Data is collected and compiled by FAO Water and Land Information Management (SWALIM).culvertsSOM_Rivers_Juba_shabelle_line_FAOSWALIMjubaurn:x-ogc:def:crs:EPSG:432644.2314300537109 1.6007415056228644.3730621337891 1.66698217391968https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2d670e3e-0461-11ea-886c-eab1b014fce8geonode:Dollow_PotentialSuitableHigherGround_EvacuatiDolloow District Suitable Potential Higher Grounds for Evacuation During FloodingDatasets 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.t providedhigher groundsurn:x-ogc:def:crs:EPSG:432641.8631591796875 3.8986504077911442.341365814209 4.17933082580566https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d6c219bc-62c5-11ee-b3a3-eab1b014fce8geonode:Drainage_NetworklineDrainage_NetworklineNo abstract providedfeaturesDrainage_Networklineurn:x-ogc:def:crs:EPSG:432643.5129318237305 8.2349367141723647.8076591491699 10.9096593856812https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a8b8f6d8-0866-11eb-a037-eab1b014fce8geonode:Flash_floods_information_IMC_PuntlandFlash_floods_information_IMC_PuntlandNo abstract providedFlash_floods_information_IMC_Puntlandfeaturesurn:x-ogc:def:crs:EPSG:432647.4327964782715 7.203389644622850.6055030822754 11.2784700393677https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d8392a0c-1ec4-11ec-b784-eab1b014fce8geonode:Som_Flood_Prone_areas_20200Flood prone areas 2020This 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).Floodsurn:x-ogc:def:crs:EPSG:432642.0785179138184 -0.26739758253097545.7423629760742 5.01968812942505https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ad6c6922-9105-11ea-898f-eab1b014fce8geonode:SOM_Flooded_Agriculture_Areas_FAOSWALIM2018Flooded Agricultural Areas in Somalia (2018)Somalia river floods occur along the Juba and Shabelle rivers in Southern Somalia. The layer shows the agricultural areas affected by floods in 2018.floodsAgricultural_Flooded_Areas_25May_3June2018agricultureurn:x-ogc:def:crs:EPSG:432642.0846633911133 0.28978684544563345.7423629760742 4.99804258346558https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fb7c82b6-0463-11ea-886c-eab1b014fce8geonode:SOM_Land_ForestSuitability_N_FAOSWALIMForest Suitability in North SomaliaThe 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).suitabilitynorthforestsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=30a71a72-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_S_FAOSWALIMForest Suitability in South SomaliaThe 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).suitabiltyforestsouthsomaliaurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=35507122-15d6-11ea-b221-eab1b014fce8geonode:Land_ForestSuitability_AcaciaNilotica_NForest Suitability of AcaciaNilotica in North SomaliaThe 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).northagri-suitabilityLand_ForestSuitability_AcaciaNilotica_Nforestsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6d90dd48-15cb-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_AcaciaNilotica_S_FForest Suitability of AcaciaNilotica in South SomaliaThe 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).somaliaagri-suitabilityacacianiloticasouthforesturn:x-ogc:def:crs:EPSG:432641.8916893005371 -0.26681008934974746.150032043457 5.06004524230957https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f707b248-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_AcaciaTortilis_N_FForest Suitability of AcaciaTortilis in North SomaliaThe 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).SOM_Land_ForestSuitability_AcaciaTortilis_N_FAOSWALIMnorthforestagri-suitabilitysomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fb855fd2-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_AzardirachtaIndicaForest Suitability of AzardirachtaIndica in North SomaliaThe 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).somaliaagri-suitabilitynorthSOM_Land_ForestSuitability_AzardirachtaIndica_N_FAOSWALIMforesturn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ffff109e-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_AzardirachtaIndica0Forest Suitability of AzardirachtaIndica in South SomaliaThe 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).somaliaagri-suitabilitySOM_Land_ForestSuitability_AzardirachtaIndica_N_FAOSWALIMsouthforesturn:x-ogc:def:crs:EPSG:432641.8916893005371 -0.26681008934974746.150032043457 5.06004524230957https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=04a4b518-15c9-11ea-b221-eab1b014fce8geonode:Land_ForestSuitability_BalanitesAegyptiaca_NForest Suitability of BalanitesAegyptiaca in North SomaliaThe 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).somaliaagri-suitabilitynorthLand_ForestSuitability_BalanitesAegyptiaca_Nforesturn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=762d5286-15cd-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_CasuarinaEquisetifForest Suitability of CasuarinaEquisetifolia in North SomaliaThe 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).suitabilitynorthforestSOM_Land_ForestSuitability_CasuarinaEquisetifolia_N_FAOSWALIMsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=18e33fc4-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_ConocarpusLancifolForest Suitability of ConocarpusLancifolius in North SomaliaThe 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).suitabilitynorthLand_ForestSuitability_AcaciaNilotica_NsomaliaSOM_Land_ForestSuitability_ConocarpusLancifolius_N_FAOSWALIMurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1d949a90-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_ConocarpusLancifol0Forest Suitability of ConocarpusLancifolius in South SomaliaThe 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).southsuitabilityforestSOM_Land_ForestSuitability_ConocarpusLancifolius_N_FAOSWALIMsomaliaurn:x-ogc:def:crs:EPSG:432641.8916893005371 -0.26681008934974746.150032043457 5.06004524230957https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=224ee19e-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_DoberaGlabra_N_FAOForest Suitability of DoberaGlabra in North SomaliaThe 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).suitabilitysomalianorthSOM_Land_ForestSuitability_DoberaGlabra_N_FAOSWALIMforesturn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=27297756-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_ForestSuitability_FaidherbiaAlbida_NForest Suitability of FaidherbiaAlbida in North SomaliaThe data defines the capacity of the study area to support specific land use types. It gives the suitable areas for forestry species Faidherbia Albidain selected areas innorthern part of Somalia (Garbiley and Boroma areas in Somaliland).suitabilitySOM_Land_ForestSuitability_FaidherbiaAlbida_N_FAOSWALIMnorthforestsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2c219270-15d6-11ea-b221-eab1b014fce8geonode:ForestSuitability_TamarindusIndica_NorthForestSuitability_TamarindusIndica_NorthThe 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).ForestSuitability_TamarindusIndica_Northurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0e5bd19a-1a7e-11ea-b221-eab1b014fce8geonode:SOM_Functioning_Boreholes_2010Functioning Boreholes - 2010Somalia Functioning Boreholes as of 2010SOM_Functioning_Boreholes_2010featuresurn:x-ogc:def:crs:EPSG:432641.336498260498 0.9500799775123651.0722236633301 11.8141660690308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fdc7b2fc-e041-11e9-9f5c-eab1b014fce8geonode:Galmudug_Region_Agrimask_Merge_17102022Galmudug_Region_Agrimask_Merge_17102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263846.17065649045546 3.58610062406609447.63793945552033 6.306398093566703https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1fb80118-4e22-11ed-98e9-eab1b014fce8geonode:Geology_Abbate_et_al_1993Geological map - Abbate et al. 1993General geological map of Somaliageologyurn:x-ogc:def:crs:EPSG:432640.9912338256836 -1.7147008180618351.4092979431152 11.9819564819336https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d623b5e8-1c1e-11ea-b221-eab1b014fce8geonode:Aquifer_of_Somaliland_PuntlandGeologijaSomalijaLinijeNovo_1REQUIRED: A brief narrative summary of the data set.Aquifer_of_Somaliland_PuntlandfeaturesREQUIRED: Common-use word or phrase used to describe the subject of the data set.urn:x-ogc:def:crs:EPSG:432642.6608543395996 6.7286667823791551.4098434448242 11.9814615249634https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=35558000-8f8d-11ea-817e-eab1b014fce8geonode:Growing_Period_LengthGrowing Periods of Crops in SomaliaSomalia Crops Growing Length Periods based on the two rainy seasons in Somalia GU and Deyr.
Credits : FAOSWALIMgrowinglengthsperiodsomaliaurn:x-ogc:def:crs:EPSG:432640.9899444580078 -1.649199604988151.4141273498535 11.9859428405762https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c8555f0e-177b-11ea-b221-eab1b014fce8geonode:Harbors_UNSOSHarbors_UNSOSThe source of this data is United Nations Support Office in Somalia (UNSOS)somaliaharborsurn:x-ogc:def:crs:EPSG:432642.5462608337402 -0.36029002070426949.8177337646484 11.2836608886719https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=64a82130-1785-11ea-b221-eab1b014fce8geonode:FloodProneAreas_ElninoFloodForecast_HQ100FlooHistorical Flood Prone Areas , Elnino Forecast and HQ Flood Model Extent MergeLayer was derived by merging the Historical flood extent accessible at https://spatial.faoswalim.org/layers/geonode:Som_Flood_Prone_areas_20200#/, Elnino flood forecast retrieved from GLOFAS and the Output of the flood model of the 100 year return period (HQ 100) along river shabelle.Flood Prone Areasurn:x-ogc:def:crs:EPSG:432637.1648178100586 -4.6661353111267146.9578094482422 6.45769882202148https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=90ce6a12-5bce-11ee-b3a3-eab1b014fce8geonode:Horn_of_Africa_Roads_UNSOSHorn_of_Africa_Roads_UNSOSThe 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.mogadishu_city_roadsHorn_of_Africa_Roads_UNSOSafricahornurn:x-ogc:def:crs:EPSG:432633.5427780151367 -4.603181362152151.3665084838867 14.7212266921997https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=499b9e3e-1786-11ea-b221-eab1b014fce8geonode:SOM_Irrigation_Canals_FAOSWALIM2018Irrigation 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 reducedAgricultural_Flooded_Areas_25May_3June2018irrigationcanalssomaliaurn:x-ogc:def:crs:EPSG:432642.7330169677734 0.164672851562545.6817932128906 4.96943092346191https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=86645474-0461-11ea-886c-eab1b014fce8geonode:Jowhar_Potential_Suitable_Higher_Grounds_for_Jowhar District Suitable Potential Higher Grounds for Evacuation During FloodsDatasets 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.elninofloodsjowharsomaliaevacuationhighergroundsurn:x-ogc:def:crs:EPSG:432645.1299209594727 2.7357549667358445.9387321472168 3.23830485343933https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d3b4500c-5873-11ee-b3a3-eab1b014fce8geonode:Som_Juba_River_Flooding_As_at_10th_Nov_2019Juba River Flooding (As at 10th Nov 2019)No abstract providedSom_Juba_River_Flooding_As_at_10th_Nov_2019jubariversCharcoalsites_2018_2019_AntonyAgriMask_Ahmed_AoIClimate_Zones_in_Somaliafloodingnovemberurn:x-ogc:def:crs:EPSG:3263842.11526662062061 -0.2674342884342326742.80374675034536 4.165473178416574https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0c1af284-3852-11ea-b221-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Deyr_2013Juba Shabelle River Floods - Deyr 2013This data was produced through visual interpretation of Landsat 8 satellite images acquired between 25th September 2013 – 28th November 2013SOM_Juba_Shabelle_River_Floods_Deyr_2013featuresurn:x-ogc:def:crs:EPSG:432642.0880928039551 -0.07870897650718745.6903800964355 4.18193578720093https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a84e258e-cf6c-11ea-bf9f-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Deyr_20180Juba Shabelle River Floods - Deyr 2018This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 20th October 2018– 04th November 2018SOM_Juba_Shabelle_River_Floods_Deyr_2018featuresurn:x-ogc:def:crs:EPSG:432642.0785179138184 -0.10508647561073345.7423629760742 5.07024192810059https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=bbe43cc6-db17-11ea-bf9f-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Deyr_2019Juba Shabelle River Floods - Deyr 2019This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 10th October 2019 to 16th November 2019.SOM_Juba_Shabelle_River_Floods_Deyr_2019featuresurn:x-ogc:def:crs:EPSG:432642.0889892578125 -0.08877573907375345.7178192138672 5.01130962371826https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d9d43e92-cf6f-11ea-bf9f-eab1b014fce8geonode:SOM_Deyr_Floods_2023_Nov_DecJuba Shabelle River Floods - Elnino - Deyr 2023This data contains modified flood extent from:
1. Global Flood Monitoring retrieved on 14/11/2023,
2. World View 3 Image of 16/11/2023,UNOSAT Analysis 05 Nov - 03 Dec 2023
3. Sentinel 2 image of (15,20,30)/11 and (5,10) /12/ 2023.
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 areasdeyrfloods`elnino`2023somaliaurn:x-ogc:def:crs:EPSG:432640.9956474304199 -1.6233075857162548.3404655456543 6.01075601577759https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=581033c8-cc98-11ee-9fb7-eab1b014fce8geonode:SOM_FLOODS_ELNINO_DEYR_2023Juba Shabelle River Floods - Elnino - Deyr 2023This data contains modified flood extent from:
1. Global Flood Monitoring retrieved on 14/11/2023,
2. World View 3 Image of 16/11/2023,UNOSAT Analysis 05 Nov - 03 Dec 2023
3. Sentinel 2 image of (15,20,30)/11 and (5,10) /12/ 2023.
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 areasdeyrfloods`elnino`2023somaliaurn:x-ogc:def:crs:EPSG:432640.9956474304199 -1.6233075857162548.3404655456543 6.01075601577759https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3c9928c8-dd3e-11ee-9fb7-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Gu_2015Juba Shabelle River Floods - Gu 2015This data was produced through visual interpretation of Landsat 8 satellite images acquired between 8th April 2015– 26th May 2015SOM_Juba_Shabelle_River_Floods_Gu_2015featuresurn:x-ogc:def:crs:EPSG:432642.0899276733398 -0.2311079353094145.6255798339844 4.66833543777466https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a420321c-cf6d-11ea-bf9f-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Gu_2016Juba Shabelle River Floods - Gu 2016This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 26th May 2016 -13th June 2016SOM_Juba_Shabelle_River_Floods_Gu_2016featuresurn:x-ogc:def:crs:EPSG:432642.0529479980469 -0.1519851535558745.7257194519043 5.01072788238525https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=61142e32-cf6e-11ea-bf9f-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Gu_20180Juba Shabelle River Floods - Gu 2018This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 23rd April 2018 to 10th May 2018SOM_Juba_Shabelle_River_Floods_Gu_2018featuresurn:x-ogc:def:crs:EPSG:432642.0785179138184 -0.10508647561073345.7423629760742 5.07024192810059https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=be9debb0-db17-11ea-bf9f-eab1b014fce8geonode:SOM_Juba_Shabelle_River_Floods_Gu_2019Juba Shabelle River Floods - Gu 2019This data was produced through visual interpretation of Sentinel 2 satellite images acquired between 3rd May 2019 to 14th June 2019.SOM_Juba_Shabelle_River_Floods_Gu_2019featuresurn:x-ogc:def:crs:EPSG:432642.2324714660645 -0.07137065380811745.6088180541992 4.9763560295105https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=361918da-cf70-11ea-bf9f-eab1b014fce8geonode:Som_Juba_Shabelle_Flooding_Gu_2020Juba Shabelle River Floods - Gu 2020This data was produced through visual interpretation of Sentinel 1 and Sentinel 2 satellite images acquired between April and June 2020FloodsJuba Riverurn:x-ogc:def:crs:EPSG:3263842.13419971781773 -0.0351848633928242245.58338106682103 5.010417273794963https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f4d07c34-404d-11eb-91ff-eab1b014fce8geonode:Som_Juba_Shabelle_River_Floods_Gu_2021Juba Shabelle River Floods - Gu 2021This 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 2021Revised_middlejuba_Mohamed_Sufi1satellitefloodssentinel2Jubba_Breakages_August2019riversimagessomaliaseasonMiddal_shabelle_LYR2kompsat5urn:x-ogc:def:crs:EPSG:432642.6860618591309 0.10553295165300445.6706352233887 4.80852699279785https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d0e85964-17c9-11ec-8e46-eab1b014fce8geonode:Land_CoverNorthLand Cover of part of SomalilandThe 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.Land_CoverNorthurn:x-ogc:def:crs:EPSG:3263843.007251089913694 9.16294787631493344.46284752986155 10.691058244859452https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5dd9aac6-32e2-11eb-91ff-eab1b014fce8geonode:SOM_Land_GrazeSuitability_Camels_S_FAOSWALIMLand Graze Suitability of Camels in South SomaliaThe 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).SOM_Cropland_GFSAD_30m_2015grazecamelssuitabilitysomaliasouthurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3a5a38d8-15d6-11ea-b221-eab1b014fce8geonode:SOM_Land_Degradation_ADESO_FAOSWALIM2016Land_Degradation_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.SOM_Cropland_GFSAD_30m_2015SOM_Land_Degradation_ADESO_FAOSWALIM2016degradationurn:x-ogc:def:crs:EPSG:432646.1641311645508 6.880806922912651.1669692993164 11.9589567184448https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ed935dac-15c8-11ea-b221-eab1b014fce8geonode:SOM_Land_Degradation_CARE_FAOSWALIM2015Land_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.SOM_Cropland_GFSAD_30m_2015degredationsomaliaurn:x-ogc:def:crs:EPSG:432648.217399597168 7.9106898307800350.1644401550293 10.0055732727051https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f2511e42-15c8-11ea-b221-eab1b014fce8geonode:GrazeSuitabilityCamels_NorthLand_GrazeSuitability_Cattle_NThe 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).SOM_Cropland_GFSAD_30m_2015northerngrazesomaliacattleagri-suitabilityurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fce1cf4c-1a7c-11ea-b221-eab1b014fce8geonode:GrazeSuitabilityCattle_NLand_GrazeSuitability_Cattle_NThe 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).GrazeSuitabilityCattle_Nurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ed1154d0-1a7b-11ea-b221-eab1b014fce8geonode:GrazeSuitabilityCattle_SouthLand_GrazeSuitability_Cattle_SThe 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).SOM_Cropland_GFSAD_30m_2015southerngrazesomaliacattleagri-suitabilityurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=12b248ea-1a7f-11ea-b221-eab1b014fce8geonode:GrazeSuitabilityGoats_NLand_GrazeSuitability_Goats_NThe 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).SOM_Cropland_GFSAD_30m_2015grazeagri-suitabilitygoatsnorthernurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ddf8b750-1a7f-11ea-b221-eab1b014fce8geonode:GrazeSuitabilitySheep_NorthLand_GrazeSuitability_Sheep_NThe 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).SOM_Cropland_GFSAD_30m_2015sheepgrazeagri-suitabilitynorthurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5ef8c9b2-1a80-11ea-b221-eab1b014fce8geonode:Landcover_NE_1988Landcover North East Somalia 1988The land cover has been produced from visual interpretation of LANDSAT images.Landcover_NE_1988landcovereastnorthsomaliaurn:x-ogc:def:crs:EPSG:432648.0100288391113 7.0584588050842349.4115791320801 9.90776824951172https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=58fbe296-1a86-11ea-b221-eab1b014fce8geonode:Landcover_NE_2007Landcover North East Somalia 2007Land cover classes were created using the Land Cover Classification System (LCSS) of FAO, Landsat satellite image interpretation, and field validation.landcovereastnorthsomaliaLandcover_NE_2007urn:x-ogc:def:crs:EPSG:432648.0100250244141 7.0584588050842349.4115791320801 9.90776824951172https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dfd0d506-1a86-11ea-b221-eab1b014fce8geonode:Landcover_NW_2007Landcover North West Somalia 2007Land cover classes were created using the Land Cover Classification System (LCSS) of FAO, Landsat satellite image interpretation, and field validation.landcoverwestnorthsomaliaLandcover_NE_2007urn:x-ogc:def:crs:EPSG:432643.0110092163086 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ac53da16-1a86-11ea-b221-eab1b014fce8geonode:Landcover_IGAD_FAO_Gedo_B1_2016Landcover of Gedo Region_B1_2016During the implementation of the FAO-IGAD partnership, SWALIM developed a trans-boundary land cover map of the Gedo region.Landcover_IGAD_FAO_Gedo_B1_2016urn:x-ogc:def:crs:EPSG:432641.8427505493164 3.8650596141815242.8222885131836 4.26749706268311https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=be5b0f60-1a84-11ea-b221-eab1b014fce8geonode:Landcover_IGAD_FAO_Gedo_B2_2016Landcover of Gedo Region_B2_2016During the implementation of the FAO-IGAD partnership, SWALIM developed a trans-boundary land cover map of the Gedo region.Landcover_IGAD_FAO_Gedo_B2_2016urn:x-ogc:def:crs:EPSG:432641.0674057006836 2.8840823173522942.3123207092285 3.62710285186768https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=23bc1d12-1a86-11ea-b221-eab1b014fce8geonode:Landcover_Riverine_2007Landcover of Riverine Areas - 2007Land 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.landcoverurn:x-ogc:def:crs:EPSG:432641.2801971435547 -0.51021897792816246.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a30a5e80-1a81-11ea-b221-eab1b014fce8geonode:Landcover_2000Landcover_FAO_Africover2000The 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. FAO Project code GCP/RAF/287/ITAafricoverLandcover_2000lancoverurn:x-ogc:def:crs:EPSG:432640.9886245727539 -1.6671897172927951.4127235412598 11.9921894073486https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ea6d6e1a-1a82-11ea-b221-eab1b014fce8geonode:Landcover_Owdweyne_BuraoLandcover_Owdweyne_BuraoLand cover classes were created using the Land Cover Classification System (LCSS) of FAO, satellite image interpretation, and field validation. The data contain a description of the main land cover types and vegetation units.landcoverburaoowdwenyeurn:x-ogc:def:crs:EPSG:432644.6907386779785 8.2566766738891646.2508697509766 10.0998477935791https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0db45b4a-1a88-11ea-b221-eab1b014fce8geonode:SOM_Landsat8_ImageIndex_GranuleLandsat8_ImageIndex_Granule_SomaliaImage 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.somaliaindeximagegranulelandsat8urn:x-ogc:def:crs:EPSG:432639.1727981567383 -2.3269801139831552.9005012512207 12.4509000778198https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1f1d2fda-1054-11ea-886c-eab1b014fce8geonode:SOM_Landscape_NW_FAOSWALIM20070Landscape_NorthWest_Somalia (2007)The landscape data of north western part of Somalia defines the classes of topography and landscape units based on SRTM 90 m.SOM_IDPs_UNHCR_2007westnorthsomalialandscapeurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e34fb426-15d2-11ea-b221-eab1b014fce8geonode:SOM_Landscape_S_FAOSWALIM20070Landscape_South Somalia (2007)The landscape data of southern part of Somalia defines the classes of topography and landscape units based on SRTM 90 m.southsomalialandscapeurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=78d59a94-15d1-11ea-b221-eab1b014fce8geonode:SOM_Landuse_Suitability_FAOSWALIM0Landuse Suitability in SomaliaLandusesuitability 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.SOM_Cropland_GFSAD_30m_2015suitabilitySOM_Landuse_Suitability_FAOSWALIMsomaliaurn:x-ogc:def:crs:EPSG:432640.9895057678223 -1.6527800559997651.4141273498535 11.9886503219604https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=65cfe40a-15d0-11ea-b221-eab1b014fce8geonode:LowerShabelle_Agrimask_UTM_Edited_13102022LowerShabelle_Agrimask_UTM_Edited_13102022No abstract providedAgrimask_Galgaduud_20th_Septurn:x-ogc:def:crs:EPSG:3263844.09901775715686 1.24457299418830545.38770497597518 3.2577344659402065https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d24a9c1a-4af2-11ed-98e9-eab1b014fce8geonode:Lower_shabeelle_shappfille_HersiLower_shabeelle_shappfille_HersiNo abstract providedfeaturesLower_shabeelle_shappfille_Hersiurn:x-ogc:def:crs:EPSG:3263844.08747890050593 1.244568643933066844.64504225655606 1.7129801624621503https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=58b9cb0a-4152-11ec-bd98-eab1b014fce8geonode:Luuq_PotentialSuitableHigherGround_forEvacuatLuuq District Potential Suitable Higher Grounds For Evacuation During FloodingDatasets 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.t providedfeaturesLuuq_PotentialSuitableHigherGround_forEvacuationFromFloodsurn:x-ogc:def:crs:EPSG:432642.3321418762207 3.4806408882141142.6777610778809 4.08309459686279https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4aae811a-6296-11ee-b3a3-eab1b014fce8geonode:Landcover_MangroveForest0Mangrove Forest Land CoverPatches 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.landcoverforestmangroveurn:x-ogc:def:crs:EPSG:432641.9597282409668 -1.0154758691787750.8089790344238 11.9874649047852https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1b8a2644-1a8a-11ea-b221-eab1b014fce8geonode:Middle_Shabelle_Region_UTM38_17102022_V2Middle_Shabelle_Region_UTM38_17102022_V2No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263845.10117340126191 2.15058648609456546.8571186723154 3.866666438533094https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dc338fea-4e1f-11ed-98e9-eab1b014fce8geonode:Middle_Shabelle_T38NNH_20180130T071129_Liban_Middle_Shabelle_T38NNH_20180130T071129_Liban_No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.636161082784916 2.206321804005763345.95959852939548 2.715708444718259https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f5c171b0-285a-11ed-8025-eab1b014fce8geonode:Middle_Shabelle_T38NNJ_20180130T071129_Liban_Middle_Shabelle_T38NNJ_20180130T071129_Liban_No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.42473543001519 2.650364694510309445.890848072074284 3.226048904973538https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=39d428b6-27e3-11ed-9225-eab1b014fce8geonode:mogadishu_city_roadsMogadishu City RoadsDigital city map of Mogadishu based on local citymaps, NIMA citymaps, Landsat ETM+ and QB-imagesmogadishu_city_roadsmogadishuurn:x-ogc:def:crs:EPSG:432645.2217102050781 1.997457027435345.4724617004395 2.13535952568054https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=59a5d0e2-1786-11ea-b221-eab1b014fce8geonode:SOM_Mogadishu_City_POIMogadishu Points of InterestDigital city map of Mogadishu based on local city maps, NIMA city maps, Landsat ETM+ and QB-images etc.ofpointsmogadishuinteresturn:x-ogc:def:crs:EPSG:432645.2353744506836 1.9806294441223145.3933296203613 2.08343315124512https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1dbbe192-1769-11ea-b221-eab1b014fce8geonode:Som_Mog_Urban_SitesMogadishu Urban SitesThis dataset shows key institutions and buildings in Mogadishu .The data was extracted from topographic map of scale 1:25000urbanCharcoalsites_2018_2019_Antonymogadishusomaliaurn:x-ogc:def:crs:EPSG:432645.2350883483887 1.9806499481201245.3798522949219 2.09048008918762https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e69d34e0-1768-11ea-b221-eab1b014fce8geonode:SOM_Landcover_ProsopisPoints_NE_FAOSWALIM2017North East Somalia Land Cover Prosopis Points 2017 FAOSWALIMGPS 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.
The 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.SOM_Landcover_ProsopisPoints_NE_FAOSWALIM2017featuresurn:x-ogc:def:crs:EPSG:432643.1923866271973 9.3643884658813545.7604179382324 10.4324169158936https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d26ec490-ee62-11e9-9f5c-eab1b014fce8geonode:SOM_Landcover_OasisFarms_FAOSWALIMOasis Farms in PuntlandOasis 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.Landcover_2000urn:x-ogc:def:crs:EPSG:432647.5043182373047 7.9771037101745651.0768775939941 11.3718271255493https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=45d0dc9e-15d6-11ea-b221-eab1b014fce8geonode:SOM_Police_Stations_UNSOS2018Police Stations in Somalia_UNSOS2018Somalia Police Stations location as of 2018policesomalia`stationsurn:x-ogc:def:crs:EPSG:432641.0069885253906 -0.53184306621551551.2610168457031 11.9142150878906https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f8c43fa4-15b7-11ea-b221-eab1b014fce8geonode:Som_Security_Projected_Risk_2018_FAOSWALIMProjected 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.somaliaAgricultural_Flooded_Areas_25May_3June2018securityprojectedriskurn:x-ogc:def:crs:EPSG:432640.9895057678223 -1.6600613594055251.4141311645508 11.9859437942505https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fcfb64ee-15b7-11ea-b221-eab1b014fce8geonode:SOM_Proposed_Charcoal_Production_AreasProposed Charcoal Production Areas in SomaliaThis 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.charcoalsites_2018_2019_Benardurn:x-ogc:def:crs:EPSG:432641.0000038146973 -1.6515522003173850.0038909912109 10.603385925293https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=43b53fb2-169f-11ea-b221-eab1b014fce8geonode:Proscal_Charcoal_sites_FAOSWALIM2018Proscal Charcoal sites - 2018The dataset shows the dynamics of charcoal production in Somalia from 2011 to 2017. Multi-temporal datasets 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 2017. 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 very high resolution images reveals a tremendous increase of charcoal sites over the years.proscalcharcoalsites_2018_2019_Benardurn:x-ogc:def:crs:EPSG:432641.177375793457 -1.5755876302719143.1609954833984 1.37009334564209https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=72df0ddc-1c25-11ea-b221-eab1b014fce8geonode:SOM_Rainfall_Stations_FAOSWALIM_2007Rainfall Stations in Somalia_FAOSWALIM_2007Currently, 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.rainfallSOM_Landcover_NW_FAOSWALIM2007somaliastationsurn:x-ogc:def:crs:EPSG:432642.0999984741211 0.04999999701976849.1760520935059 11.2826509475708https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0d812a44-0a9e-11ea-886c-eab1b014fce8geonode:Relief_NW_FAOSWALIMRelief_NW_FAOSWALIMThis 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.westnorthreliefsomaliaurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8099877e-1c23-11ea-b221-eab1b014fce8geonode:SOM_Rivers_Juba_shabelle_line_FAOSWALIMRiver 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.SOM_Rivers_Juba_shabelle_line_FAOSWALIMjubariversurn:x-ogc:def:crs:EPSG:432642.1221313476562 -0.25111559033393945.6782379150391 4.95320701599121https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=331f0552-0461-11ea-886c-eab1b014fce8geonode:SOM_River_Shabelle_Juba_Poly_FAOSWALIMRiver Shabelle & Juba (Polygon)A polygon layer data of Shabelle and Juba Rivers. Digitized and compiled from VHR satellite images by FAO Somalia Water and Land Information Management (SWALIM).SOM_Rivers_Juba_shabelle_line_FAOSWALIMjubasomaliaurn:x-ogc:def:crs:EPSG:432642.1221389770508 -0.25366944074630745.6786079406738 4.97289752960205https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=98de22b2-0464-11ea-886c-eab1b014fce8geonode:Som_Flood_Prone_areas_Merge_of_Historical0SOM Flood Prone Areas - Merge of Flood Extent 2013-2023This 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 2013floodspronesomaliahistoricalareasurn:x-ogc:def:crs:EPSG:432640.9956474304199 -1.6233075857162548.3404655456543 6.01075601577759https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b8eb5c28-db00-11ea-bf9f-eab1b014fce8geonode:SOM_Gedo_Temporary_Water_Points_FAO_IGADSOM Gedo Temporary Water Points FAO IGADDuring 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.featuresSOM_Gedo_Temporary_Water_Points_FAO_IGADurn:x-ogc:def:crs:EPSG:432640.991771697998 2.0750041007995642.7345542907715 4.24214887619019https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ee64fdf0-df66-11e9-aa9f-eab1b014fce8geonode:SOM_Contours_UNSOSSOM_Contours_UNSOSThe 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.somaliaSOM_Airfields_UNSOScontoursurn:x-ogc:def:crs:EPSG:432640.9890441894531 -1.657916784286551.4123802185059 11.9800539016724https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9a8e628e-0a9a-11ea-886c-eab1b014fce8geonode:SOM_DJ_KE_ETH_AirstripsSOM_DJ_KE_ETH_AirstripsNo abstract providedSOM_DJ_KE_ETH_Airstripsfeaturesurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3851.3264274597168 12.4404792785645https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0529d9a2-2238-11ea-b221-eab1b014fce8geonode:SOM_Hydro1K_GTOPO30_BasinsSOM_Hydro1K_GTOPO30_BasinsHYDRO1k 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.featuresSOM_Hydro1K_GTOPO30_Basinsurn:x-ogc:def:crs:EPSG:432639.4746780395508 -2.0789072513580351.4504890441895 11.9967565536499https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=224466c8-0461-11ea-886c-eab1b014fce8geonode:SOM_Hydro_CrossBorder_BasinsSOM_Hydro_CrossBorder_BasinsSomalia 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.SOM_Hydro_CrossBorder_Basinsfeaturesurn:x-ogc:def:crs:EPSG:432636.2761077880859 -1.8108342885971151.330753326416 11.9967555999756https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1d0d1d3a-0461-11ea-886c-eab1b014fce8geonode:SOM_Hydromet_Stations_FAOSWALIM_2018SOM_Hydromet_Stations_FAOSWALIM_2018No abstract providedSOM_Hydromet_Stations_FAOSWALIM_2018featuresurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=08001a02-222d-11ea-b221-eab1b014fce8geonode:SOM_Hydromet_Stations_FAOSWALIM_20180SOM_Hydromet_Stations_FAOSWALIM_20180No abstract providedSOM_Hydromet_Stations_FAOSWALIM_2018featuresurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1000eb54-222e-11ea-b221-eab1b014fce8geonode:SOM_Hydromet_Stations_FAOSWALIM_20181SOM_Hydromet_Stations_FAOSWALIM_20181No abstract providedSOM_Hydromet_Stations_FAOSWALIM_2018featuresurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b9e0f784-2230-11ea-b221-eab1b014fce8geonode:SOM_Hydromet_Stations_FAOSWALIM_20182SOM_Hydromet_Stations_FAOSWALIM_20182No abstract providedSOM_Hydromet_Stations_FAOSWALIM_2018featuresurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=69a9fba6-2232-11ea-b221-eab1b014fce8geonode:SOM_Hydromet_Stations_FAOSWALIM_20183SOM_Hydromet_Stations_FAOSWALIM_20183No abstract providedSOM_Hydromet_Stations_FAOSWALIM_2018featuresurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0a28ca80-2233-11ea-b221-eab1b014fce8geonode:SOM_Land_AgriSuitability_Cowpea_N_FAOSWALIM00SOM_Land_AgriSuitability_Cowpea_N_FAOSWALIMfeaturesSOM_Land_AgriSuitability_Cowpea_N_FAOSWALIMurn:x-ogc:def:crs:EPSG:432643.0109252929688 9.1665124893188544.4621047973633 10.6897487640381geonode:SOM_Relief_S_FAOSWALIMSOM_Relief_S_FAOSWALIMThis 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.reliefsouthsomaliaurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4cfe5db0-169f-11ea-b221-eab1b014fce8geonode:SOM_River_Barrage_Bridge_FAOSWALIMSOM_River_Barrage_Bridge_FAOSWALIMData 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.bridgebarragesomaliariversurn:x-ogc:def:crs:EPSG:432642.2814521789551 0.74895507097244345.5968475341797 4.73541688919067https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=61ce4f1c-17fc-11ea-b221-eab1b014fce8geonode:SOM_Secondary_Roads_ADC2010SOM_Secondary_Roads_ADC2010This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T 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).roadsSOM_Functioning_Boreholes_2010somaliasecondaryurn:x-ogc:def:crs:EPSG:432640.9903373718262 -1.6460349559783951.2599143981934 11.9586000442505https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=57a72cc6-11cf-11ea-b221-eab1b014fce8geonode:SOM_Surface_Water_SourcesSOM_Surface_Water_SourcesNo abstract providedSOM_Surface_Water_Sourcesfeaturesurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3851.2077903747559 11.7885608673096https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0bb18a3a-1807-11ea-b221-eab1b014fce8geonode:SOM_SRTM_Spot_HeightsSRTM Spot HeightsNo abstract providedspotsrtmheightsurn:x-ogc:def:crs:EPSG:432641.0020790100098 -1.6166614294052151.4123001098633 11.9665012359619https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2ae1b5d8-0aa6-11ea-886c-eab1b014fce8geonode:SOM_SRTM_Contours_100_USGSSRTM_Contours_100m_USGS100m resolution contours obtained from the U.S. Geological Survey100musgsresolutioncontourssrtmurn:x-ogc:def:crs:EPSG:432641.1106605529785 -1.6665693521499651.4435157775879 11.9631805419922https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a5d390f0-0aa5-11ea-886c-eab1b014fce8geonode:SOM_SRTM_Contours_25m_USGSSRTM_Contours_25m_USGS25m resolution contours obtained from the U.S. Geological SurveyusgsresolutioncontoursSOM_SRTM_Contours_25m_USGSsrtmurn:x-ogc:def:crs:EPSG:432639.9995803833008 -3.0004167556762754.5273056030273 13.0004167556763https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=00cc46c4-0aa5-11ea-886c-eab1b014fce8geonode:SOM_SRTM_Contours_5m_USGSSRTM_Contours_5m_USGS5m resolution contours obtained from the U.S. Geological SurveyusgsresolutioncontoursSOM_SRTM_Contours_25m_USGSsrtmurn:x-ogc:def:crs:EPSG:432640.9993743896484 -1.6666785478591951.5001983642578 11.9999170303345https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=542f3244-0aa1-11ea-886c-eab1b014fce8geonode:Salty_Ground_Water_SourcesSalty Ground Water SourcesThis data contains areas with Salty ground waterwatersaltysomaliawater sourcesgroundurn:x-ogc:def:crs:EPSG:432645.9045639038086 3.3018457889556948.6622734069824 6.60507440567017https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8c45f8ae-17fb-11ea-b221-eab1b014fce8geonode:Second_shape_fileSecond_shape_fileNo abstract providedSecond_shape_filefeaturesurn:x-ogc:def:crs:EPSG:3263846.84082951534041 5.35979173978083347.52401022428145 5.767011401396769https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6a43a1d6-4169-11ec-bd98-eab1b014fce8geonode:Second_shape_file0Second_shape_file0No abstract providedSecond_shape_filefeaturesurn:x-ogc:def:crs:EPSG:3263846.84082951534041 5.35979173978083347.52401022428145 5.767011401396769https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=87bd120a-546b-11ec-b9c6-eab1b014fce8geonode:SOM_Sentinel2_ImageIndex_GranuleSentinel2_ImageIndex_Granule_SomaliaImage 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.indeximagesentinel2granuleurn:x-ogc:def:crs:EPSG:432640.7966918945312 -1.8968180418014552.0109519958496 12.6645498275757https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2372d670-1054-11ea-886c-eab1b014fce8geonode:Shabelle_River_Flooding_30th_Oct_2019Shabelle River Flooding (As at 30th Oct 2019)No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.99717216202905 2.335273501054815345.71956366716023 5.019690670981253https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=38bf465c-3855-11ea-b221-eab1b014fce8geonode:Shabelle_Hagaa_Floods_11092020Shabelle River Floods - Hagaa 2020This data was produced through visual interpretation of Sentinel 1 and Sentinel 2 satellite images acquired between August and September09-03-2020floodsSOM_Rivers_Juba_shabelle_line_FAOSWALIMhagaaurn:x-ogc:def:crs:EPSG:3263844.585234079524966 1.754250484957158745.71594272775314 5.010025530383798https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=82546b50-3ea1-11eb-91ff-eab1b014fce8geonode:SOM_Shabelle_Juba_River_Contours_50cmShabelle_Juba_River_Contours_50cm50 cm resolution contours spanning around Rivers Juba and ShabellejubariversSOM_Shabelle_Juba_River_Contours_50cmcontoursSOM_Rivers_Juba_shabelle_line_FAOSWALIMresolutionurn:x-ogc:def:crs:EPSG:432642.1024322509766 -0.26835629343986545.7032928466797 4.98001670837402https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=804acfa2-0a9f-11ea-886c-eab1b014fce8geonode:SoM_AgriMask_AoISoM_AgriMask_AoINo abstract providedfeatureurn:x-ogc:def:crs:EPSG:432642.4009056091309 1.4617141485214244.6909523010254 3.92149138450623https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=52f54ad0-2d2e-11ea-b221-eab1b014fce8geonode:Soil_100K_N_FAOSWALIMSoil_100K_N_FAOSWALIMThis dataset is about a semi detailed soil map at a scale of 1:100,000 for Dur Dur and Gibeley areas in north Somaliasoilscale100000Northernsomaliaurn:x-ogc:def:crs:EPSG:432643.0110130310059 9.1665267944335944.4621047973633 10.6897344589233https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1b5061a8-1c23-11ea-b221-eab1b014fce8geonode:Soil_100K_S_FAOSWALIMSoil_100K_S_FAOSWALIMThis datasets shows a semi detailed soil map at a scale of 1:100,000 for for Juba and Shabelle Riverine Areas in south Somalia.soilscalesouthern100000somaliaurn:x-ogc:def:crs:EPSG:432641.8916931152344 -0.26681008934974746.1500358581543 5.06004571914673https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c6917cf6-1c22-11ea-b221-eab1b014fce8geonode:Soil_50K_N_FAOSWALIMSoil_50K_N_FAOSWALIMThis dataset is about a detailed soil map at a scale of 1:50,000 for north western part of Somaliland in Somalia.50000soilscalesomaliaNorthernurn:x-ogc:def:crs:EPSG:432643.0110092163086 9.1665134429931644.4621047973633 10.1207056045532https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=14d3bc32-1c21-11ea-b221-eab1b014fce8geonode:Soil_Jowhar_FAOSWALIMSoil_Jowhar_100K_FAOSWALIMThis 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)soiljowhar100000scaleurn:x-ogc:def:crs:EPSG:432645.4991073608398 2.688847303390545.6022148132324 2.80313301086426https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=68367c1c-1c20-11ea-b221-eab1b014fce8geonode:Soil_Simplified_FAOSWALIM2012Soil_Simplified_FAOSWALIM2012SWALIM has conducted numerous surveys of the soil in different parts of Somalia which is resulted in compiling a national soil database for SomaliasoilsimplifiedSOM_Soil_Simplified_FAOSWALIM2012urn:x-ogc:def:crs:EPSG:432640.9886322021484 -1.6620529890060451.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=969655d8-1c1f-11ea-b221-eab1b014fce8geonode:Som_Gedo_Region_Agrimask_21122020WGS_Som Gedo Region Agrimask 21122020WGSThis 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 1:10000featureurn:x-ogc:def:crs:EPSG:432641.7590560913086 1.9424508810043343.1246871948242 4.18697452545166https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dfde477e-eeb8-11eb-a59c-eab1b014fce8geonode:Som_Lower_Juba_Agrimask_29062021WGS_Som Lower Juba Agrimask 29062021WGSThis 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 1:10000featureurn:x-ogc:def:crs:EPSG:432641.4376640319824 -1.6618649959564242.9008522033691 0.892129123210907https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=39d1cc28-eeba-11eb-a59c-eab1b014fce8geonode:Som_Agrimask_Hiraan_Region_UTM_17102022Som_Agrimask_Hiraan_Region_UTM_17102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263844.75205235760529 3.203552272407326746.40267952611883 5.412625812062329https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=28387af4-4e02-11ed-98e9-eab1b014fce8geonode:Som_Agrimask_Mudug_17102022Som_Agrimask_Mudug_17102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263846.564882154051595 4.489452831875043547.82907678855699 7.291528273447662https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=17e1a8c8-4e08-11ed-98e9-eab1b014fce8geonode:Som_Agrimask_WorkingAOI0Som_Agrimask_WorkingAOINo abstract providedfeatureurn:x-ogc:def:crs:EPSG:432642.4009094238281 1.4617141485214244.6909523010254 3.92149114608765https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6802bef6-0611-11ea-886c-eab1b014fce8geonode:Som_Baidoa_Town_15Km_buffer_Dams_24102022Som_Baidoa_Town_15Km_buffer_Dams_24102022This Layer was created by updating the Strategic Water sources Survey data through visual interpretation and digitization of water surface features at a scale of 1000 from Very High Resolution Satellite Data acquired from Digital Globe. The length and width measurements for all the surface water sources was taken considering the largest extent of the dataset. Areas for the dams was computed in Square Metres while the distance to the nearest settlement has been captured in Kilometres.Water Sourcesurn:x-ogc:def:crs:EPSG:432643.5105895996094 2.99584507942243.7739639282227 3.25321793556213https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a8978faa-53d4-11ed-98e9-eab1b014fce8geonode:Som_Baidoa_Town_15Km_buffer_Dams_points_24102Som_Baidoa_Town_15Km_buffer_Dams_points_24102No abstract providedWater Sourcesurn:x-ogc:def:crs:EPSG:432643.511043548584 2.9961335659027143.7736625671387 3.25300288200378https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=08ef3446-53d7-11ed-98e9-eab1b014fce8geonode:Som_Bakool_Agrimask_31052020_WGSSom_Bakool_Agrimask_31052020_WGSNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:432642.8894309997559 3.3384115695953444.7852439880371 4.96077060699463https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fb18e5c4-abf4-11ea-bf9f-eab1b014fce8geonode:Agri_Mask_Bay_Region_30102019_UTMSom_Bay_Region_Agrimask_30102019UTMThis 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 1:10000somaliaurn:x-ogc:def:crs:EPSG:3263842.410443903048325 1.49774426020882844.65109718166896 3.922109285591186https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=80ef07d0-a48b-11ea-8409-eab1b014fce8geonode:Som_DotGrid_20144Som_DotGrid_2014The 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.
Standardized FAO Land Cover Meta Language (LCML) methodology was utilized to create the legend for the analysis. The area covered by each land cover class was derived from the classified dotsfeaturesSom_DotGrid_2014urn:x-ogc:def:crs:EPSG:385740.95917496125942 -1.639379217832398751.413413403305185 11.909056990883878https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8c17f848-8a36-11ea-8356-eab1b014fce8geonode:Som_DotGrid_2014_Som_DotGrid_2014_featuresSom_DotGrid_2014_urn:x-ogc:def:crs:EPSG:43264559554.5 -182519.7656255723315.0 1335360.25geonode:Som_Livestock_Trade_Routes_Aug2022Som_Livestock_Trade_Routes_Aug2022The 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.Livestock RoutesLivestockurn:x-ogc:def:crs:EPSG:432640.9945983886719 -1.1371680498123250.8119888305664 11.5744161605835https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6dcbe720-2785-11ed-9225-eab1b014fce8geonode:Middle_Juba_Agrimask_11302020utmSom_Middle_Juba_Agrimask_11302020utmThis 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 1:10000featureurn:x-ogc:def:crs:EPSG:3263841.990804286629 0.3117237024160524643.43235765662859 1.9537598682419517https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cbe0ddf6-4065-11eb-91ff-eab1b014fce8geonode:Som_Puntland_CeelDoofar_Agrimask_17102022Som_Puntland_CeelDoofar_Agrimask_17102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263949.006029949685946 10.61327054572235849.09036751087946 10.659217557537104https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fabdaeb4-4e0b-11ed-98e9-eab1b014fce8geonode:SOM_KE_ET_DJ_Somalis_ClanSomali Clan Distribution in Neighboring CountriesClans are mainly self-governing bodies ruled by a council of elders. Most people respect this system way more than any modern-style central government. This data shows distribution of the Somali clans in Somalia, Kenya, Ethiopia and Djibouti
Data was collected in 1999ethiopiadjiboutisomaliakenyaclansdistributionurn:x-ogc:def:crs:EPSG:432638.4809455871582 -2.6528043746948251.4141311645508 11.9859428405762https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=aaed5778-176c-11ea-b221-eab1b014fce8geonode:SOM_International_Disputed_BorderSomalia International Disputed BorderSomalia International Disputed Borderdisputedbordersomaliainternationalurn:x-ogc:def:crs:EPSG:432632.9999389648438 -4.6764855384826754.5305290222168 19.0023326873779https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=afade694-09c8-11ea-886c-eab1b014fce8geonode:SOM_Adminbnda_Adm0_Country_UNOCHASomalia Administrative BoundarySomaliacountry administrative boundaryadmin 0 (Country of Somalia). The source of this data is United Nation Development Programme (UNEP) 1998. UNOCHA is a contributor.boundaryadministrativesomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130363464355 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=574dd1e0-09cc-11ea-886c-eab1b014fce8geonode:SOM_settlements_ASSORTEDSomalia Assorted SettlementsThis 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 settlementSOM_settlements_ASSORTEDsomaliaassortedurn:x-ogc:def:crs:EPSG:432640.9931488037109 -1.6005001068115251.2826614379883 11.9603900909424https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d524871c-1769-11ea-b221-eab1b014fce8geonode:Somalia_Coastal_MaskSomalia Coastal MaskSomalia coast mask scale 1:250, 000Som_Agrimask_WorkingAOIsomaliacoastalurn:x-ogc:def:crs:EPSG:432640.4722175598145 -4.9869394302368252.4714508056641 13.5211839675903https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e176d6a8-177f-11ea-b221-eab1b014fce8geonode:SOM_Cropland_GFSAD_30m_2015Somalia Cropland GFSAD 30m 2015The 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 2017landcovercroplandurn:x-ogc:def:crs:EPSG:432641.0053596496582 -1.6280168294906650.4005165100098 11.2848615646362https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4be8de20-16a2-11ea-b221-eab1b014fce8geonode:SomDotGrid2014Somalia 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.
Standardized FAO Land Cover Meta Language (LCML) methodology was utilized to create the legend for the analysis. The area covered by each land cover class was derived from the classified dotsgridsomaliadoturn:x-ogc:def:crs:EPSG:432640.9591751098633 -1.6504217386245751.4134140014648 11.9870004653931https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=44948c52-ac0f-11ea-bf9f-eab1b014fce8geonode:SOM_Drainage_Network_Extracted_From_OSMSomalia Drainage Network (Extracted From OpenStreetMap)Drainage network extracted from OpenStreetMap. For more information about the data, visit --> https://wiki.openstreetmap.org/wiki/Tag:waterway%3DriveropenstreetmapnetworkSOM_Drainage_Network_Extracted_From_OSMriverssomaliadrainageurn:x-ogc:def:crs:EPSG:432640.9890975952148 -1.3293310403823951.321174621582 11.960428237915https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=946afeda-e8d2-11ec-9925-eab1b014fce8geonode:Drought_Conditions_March_2022Somalia Drought Conditions - March 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtmarchsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0b4025d8-3597-11ed-945b-eab1b014fce8geonode:Som_Drought_Conditions_April_2017Somalia Drought Conditions - April 2017The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9896812438965 -1.6597051620483451.4143142700195 11.9867792129517https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=df41cdb0-358c-11ed-945b-eab1b014fce8geonode:Drought_Conditions_April_2021Somalia Drought Conditions - April 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a928aa18-3592-11ed-945b-eab1b014fce8geonode:Drought_Conditions_April_2022Somalia Drought Conditions - April 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=769107e4-3597-11ed-945b-eab1b014fce8geonode:Drought_Conditions_August_2021Somalia Drought Conditions - August 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2d623a1a-3593-11ed-945b-eab1b014fce8geonode:Drought_Conditions_August_2022Somalia Drought Conditions - August 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factores in infromation from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fdc9a676-3597-11ed-945b-eab1b014fce8geonode:Drought_Conditions_December_2017Somalia Drought Conditions - December 2017The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9896812438965 -1.6597051620483451.4143142700195 11.9867792129517https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ae2e4bac-358e-11ed-945b-eab1b014fce8geonode:Drought_Conditions_December_2021Somalia Drought Conditions - December 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9863204956055 -1.655734300613451.4126968383789 11.9790239334106https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=69514ede-3594-11ed-945b-eab1b014fce8geonode:Drought_Conditions_February_2022Somalia Drought Conditions - February 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtfebruarysomaliaurn:x-ogc:def:crs:EPSG:432640.9863204956055 -1.6231318712234551.3877639770508 11.9737529754639https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dcf07da4-3596-11ed-945b-eab1b014fce8geonode:Som_Drought_Conditions_January_2017Somalia Drought Conditions - January 2017The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factores in infromation from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSfeatureurn:x-ogc:def:crs:EPSG:432640.9896812438965 -1.6597051620483451.4143142700195 11.9867792129517https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=643a2c04-3580-11ed-945b-eab1b014fce8geonode:Drought_Conditions_January_2019Somalia Drought Conditions - January 2019The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSjanuarydroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9953765869141 -1.6491806507110651.4191360473633 11.980583190918https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2f195b3c-3592-11ed-945b-eab1b014fce8geonode:Drought_Conditions_January_2022Somalia Drought Conditions - January 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSjanuarydroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9863204956055 -1.6231318712234551.4064483642578 11.9737529754639https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=06d0c83c-3596-11ed-945b-eab1b014fce8geonode:Drought_Conditions_March_2019Somalia Drought Conditions - March 2019The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtmarchsomaliaurn:x-ogc:def:crs:EPSG:432640.9948425292969 -1.6600834131240851.4194679260254 11.9859209060669https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d9638596-3591-11ed-945b-eab1b014fce8geonode:Drought_Conditions_May_2022Somalia Drought Conditions - May 2022The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSmaydroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ce725d00-3597-11ed-945b-eab1b014fce8geonode:Drought_Conditions_October_2021Somalia Drought Conditions - October 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtoctobersomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2032a9e6-3594-11ed-945b-eab1b014fce8geonode:Drought_Conditions_September_2021Somalia Drought Conditions - September 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8c7b9e92-3593-11ed-945b-eab1b014fce8geonode:Som_Drought_Conditions_September_2021Somalia Drought Conditions - September 2021The drought condition map was produced by factoring in the Combined Drought Index (CDI) - which takes into account the rainfall, Land Surface Temperature and Soil Moisture/NDVI.
Additionally, it factors in information from the field such as livestock and vegetation condition to verify the severity of the drought.
Data source:
Rainfall - CHIRPS
Land Surface Temperature - MODIS
NDVI - MODIS
Soil Moisture - USGSdroughtsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6649144887924251.4130325317383 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e72d920c-358c-11ed-945b-eab1b014fce8geonode:SOM_Flood_Prone_Areas_FAOSWALIM2018Somalia 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.floodsAgricultural_Flooded_Areas_25May_3June2018prone areasurn:x-ogc:def:crs:EPSG:432642.0785179138184 -0.10508647561073345.7423629760742 5.01130962371826https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=34240ec4-0057-11ea-886c-eab1b014fce8geonode:harmonised_settlement_14112022Somalia Harmonised Settlements - November 2022OCHA Somalia
Harmonised settlement 14 11 2022featuresharmonised_settlement_14112022urn:x-ogc:def:crs:EPSG:432640.9920768737793 -1.63754010200551.2826614379883 11.9603900909424https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ea89ea38-e4d5-11ed-8f34-eab1b014fce8geonode:HydroMet_Stations_July_2021Somalia Hydromet Stations 2021There 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.Hydrometurn:x-ogc:def:crs:EPSG:432642.0793800354004 -0.3500433564186150.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=db099a92-f065-11eb-a59c-eab1b014fce8geonode:SOM_Irrigation_Schemes_FAOSWALIM0Somalia Irrigation SchemesIn 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 112,950haSOM_Irrigation_Schemes_FAOSWALIMfeaturesurn:x-ogc:def:crs:EPSG:432643.6981086730957 1.1557625532150345.6001205444336 4.82818841934204https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5ebbbdf2-c94a-11ed-8153-eab1b014fce8geonode:SOM_Land_Degradation_FAOSWALIMSomalia Land Degradation FAOSWALIMThe data of land degradation of Somalia is produced by The Food and Agriculture Organization’s Somalia Water and Land Information Management (FAO-SWALIM) projectfeaturesSOM_Land_Degradation_FAOSWALIMurn:x-ogc:def:crs:EPSG:432640.9895057678223 -1.6527800559997651.4141273498535 11.9886503219604https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cd2f7ccc-ee62-11e9-9f5c-eab1b014fce8geonode:SOM_Landforms_FAOSWALIM20080Somalia Landforms (2008)Data of landforms have been produced from FAO Africover 2000, combined with geomorphometry. Data on topography from NASA SRTM 90 m.SOM_Cropland_GFSAD_30m_2015SOM_Landforms_FAOSWALIM2008somaliaurn:x-ogc:def:crs:EPSG:432640.9921417236328 -1.6671897172927951.4127235412598 11.9921894073486https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cbe11112-15d3-11ea-b221-eab1b014fce8geonode:SOM_Landuse_System_FAOSWALIM2007Somalia Landuse System (2007)This landuse systems data is produced from FAO Landcover data for Somalia 2000.SOM_Cropland_GFSAD_30m_2015SOM_IDPs_UNHCR_2007systemSOM_Landuse_Suitability_FAOSWALIMsomaliaurn:x-ogc:def:crs:EPSG:432640.9895057678223 -1.6527800559997651.4141273498535 11.9886503219604https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=04811c88-15cf-11ea-b221-eab1b014fce8geonode:SOM_Major_TownsSomalia Major TownsDATA 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.majortownssomaliaurn:x-ogc:def:crs:EPSG:432640.998291015625 -1.0353699922561650.8122291564941 11.965311050415https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=38fc9fa2-1771-11ea-b221-eab1b014fce8geonode:labSoilSomalia North & South Soil Survey Samples DistributionData 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=0labSoilfeaturesurn:x-ogc:def:crs:EPSG:432642.257999420166 0.03944439813494745.791202545166 10.6282005310059https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=04f4dc84-7841-11ea-a56e-eab1b014fce8geonode:Som_North_Aquifers_2012Somalia North Aquifers 2012No abstract providedfeaturesSom_North_Aquifers_2012urn:x-ogc:def:crs:EPSG:432642.6608543395996 6.7286667823791551.4098434448242 11.9814615249634https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8d607c12-df82-11ed-8f34-eab1b014fce8geonode:SOM_Landcover_Owdweyne_Burao_FAOSWALIMSomalia Owdweyne & Burao Districts Land Cover FAOSWALIMLand cover classes were created using the Land Cover Classification System (LCSS) of FAO, satellite image interpretation, and field validation. The data contain a description of the main land cover types and vegetation units.SOM_Landcover_Owdweyne_Burao_FAOSWALIMfeaturesurn:x-ogc:def:crs:EPSG:432644.6907386779785 8.2566766738891646.2508697509766 10.0998477935791https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8755b12a-ee63-11e9-9f5c-eab1b014fce8geonode:SOM_Population_PESS_2014Somalia Population_PESS_2014Population 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 datasomaliaSOM_Population_PESS_2014populationurn:x-ogc:def:crs:EPSG:432640.989501953125 -1.6515522003173851.415153503418 11.9885330200195https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=48846962-1769-11ea-b221-eab1b014fce8geonode:SOM_Prewar_Rain_Stations_1963_1990_FAOSWALIMSomalia Prewar Rainfall Stations (1963-1990)The data is about pre-war 1963 - 1990 Somalia rainfall record stations.rainfallstationsprewarsomaliaurn:x-ogc:def:crs:EPSG:432642.0599975585938 -0.36000001430511551.2500038146973 11.960000038147https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c570f7c0-0a9d-11ea-886c-eab1b014fce8geonode:SOM_regional_capitalsSomalia Regional CapitalsDATA 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.somaliaSOM_regional_capitalsurn:x-ogc:def:crs:EPSG:432642.2198753356934 -0.36029002070426949.1806297302246 11.2836608886719https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=92a4a30e-1769-11ea-b221-eab1b014fce8geonode:SOM_River_Gauging_Stations_FAOSWALIM3Somalia River Gauging StationsRiver 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).SOM_River_Gauging_Stations_FAOSWALIMfeaturesurn:x-ogc:def:crs:EPSG:432642.22314453125 1.2447699308395445.5672721862793 4.73598003387451https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9f3caeb8-01f7-11ea-886c-eab1b014fce8geonode:SOM_Rivers_FAOSWALIMSomalia RiversThe 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.somaliariversurn:x-ogc:def:crs:EPSG:432640.9090690612793 -1.3295097351074251.3552742004395 11.9788703918457https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=969078d6-00ac-11ea-886c-eab1b014fce8geonode:SOM_Settlements_UNOCHA2011_P_CodedSomalia Settlements_UNOCHA_P_Coded_2011Data 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: DEFINITIONCharcoalsites_2018_2019_Antony_20112019Charcoalsites_2018_2019_pascalMogadishu_Adminbnda_Districts_UNOCHASOM_settlements_ASSORTEDcodedsomaliaurn:x-ogc:def:crs:EPSG:432640.9920768737793 -1.63754010200551.2826614379883 11.9603900909424https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0f1e8238-176a-11ea-b221-eab1b014fce8geonode:SOM_Settlements_UNSOS_OCT2016Somalia Settlements_UNSOS_2016These settlements were updated by UNSOS in october 2016SOM_Land_Degradation_ADESO_FAOSWALIM2016SOM_settlements_ASSORTEDoctoberSOM_Airfields_UNSOSsomaliaurn:x-ogc:def:crs:EPSG:432640.9922294616699 -1.63754010200551.2826614379883 11.9603900909424https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=521d9c36-176a-11ea-b221-eab1b014fce8geonode:SOM_Soil_250kSomalia Soil Map - Scale of 1:250,000To 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 shapefilesomaliadata_soils250000scaleurn:x-ogc:def:crs:EPSG:3263840.90291677458611 -1.658687011075607351.44900497025844 12.047507674989797https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0926ee24-359e-11ed-945b-eab1b014fce8geonode:SOM_Water_Sources_Ground_FAOSWALIMSomalia Surface Water SourcesThe 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.waterwater sourcesgroundurn:x-ogc:def:crs:EPSG:432640.9941253662109 -1.0560027360916151.2828636169434 11.9533405303955https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1f29a41e-0054-11ea-886c-eab1b014fce8geonode:SOM_WAT_BASINS_FAOSWALIM_USGSSomalia Water BasinsThis dataset contains polygon shapefile of Drainage Basins of Somalia.water basinssomaliaurn:x-ogc:def:crs:EPSG:432636.2761077880859 -1.8108342885971151.330753326416 11.9967555999756https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=41f0eb52-0058-11ea-886c-eab1b014fce8geonode:Somalia_HOTOSM_data_planet_osm_line_lines2Somalia_HOTOSM_data_linesOpenStreetMap Data downloaded with the HOT Export Tool, an open service that creates customized extracts of up-to-date OSM data in various file formats.
Use the data simply by crediting the OpenStreetMap contributors.
Data is copyright OpenStreetMap Contributors, ODbL 1.0 licensed.featuresurn:x-ogc:def:crs:EPSG:432640.9899978637695 -1.6600000858306951.4150695800781 11.9900007247925https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=83de974e-9437-11ea-a35b-eab1b014fce8geonode:Somalia_HOTOSM_data_planet_osm_point_points0Somalia_HOTOSM_data_pointsOpenStreetMap Data downloaded with the HOT Export Tool, an open service that creates customized extracts of up-to-date OSM data in various file formats.
Use the data simply by crediting the OpenStreetMap contributors.
Data is copyright OpenStreetMap Contributors, ODbL 1.0 licensed.featuresurn:x-ogc:def:crs:EPSG:432640.9920768737793 -1.6598471403121951.4115753173828 11.98743724823https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=efc08586-9436-11ea-a35b-eab1b014fce8geonode:Somalia_HOTOSM_data_planet_osm_polygon_polygoSomalia_HOTOSM_data_polygonsOpenStreetMap Data downloaded with the HOT Export Tool, an open service that creates customized extracts of up-to-date OSM data in various file formats.
Use the data simply by crediting the OpenStreetMap contributors.
Data is copyright OpenStreetMap Contributors, ODbL 1.0 licensed.featuresurn:x-ogc:def:crs:EPSG:432640.9899978637695 -1.6600000858306951.4200019836426 11.9900007247925https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5a6ce56c-9434-11ea-a35b-eab1b014fce8geonode:SOM_IDPs_UNHCR_2007Somalia_IDPs_UNHCR_2007Somalia IDPs camp locations compiled by UNHCR 2007SOM_IDPs_UNHCR_2007idpssomaliaunhcrurn:x-ogc:def:crs:EPSG:432643.6321983337402 2.0011827945709249.1979217529297 11.2864084243774https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=39958db2-175c-11ea-b221-eab1b014fce8geonode:SOM_Primary_Roads_UNOCHASomalia_Primary_Roads_UNOCHAThe 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.roadssomaliaSOM_Primary_Roads_UNOCHAprimaryurn:x-ogc:def:crs:EPSG:432640.9329032897949 -1.1503081321716351.1394195556641 11.9586057662964https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=53623908-11cf-11ea-b221-eab1b014fce8geonode:SOM_Proscal_Study_Area_FAOSWALIM2018Somalia_Proscal_Study_Area_FAOSWALIM2018The dataset shows the boundary of Proscal (Charcoal Production) Study Area in South and Central Somalia. The dynamics of charcoal production in Somalia from 2011 to 2017.swalimprone areasstudyAgricultural_Flooded_Areas_25May_3June2018somaliaproscalfaourn:x-ogc:def:crs:EPSG:432641.0000038146973 -1.6515023708343543.2181434631348 1.68449187278748https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=484d105e-169f-11ea-b221-eab1b014fce8geonode:Somaliland_Agrimask_17102022Somaliland_Agrimask_17102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263843.46838784535685 9.57963588734027643.50599400497368 9.616508480700396https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a5e58c46-4e0f-11ed-98e9-eab1b014fce8geonode:SOM_Somalis_Clan_Distribution_Abikar1999Somalis_Clan_Distribution_Abikar_1999Clans are mainly self-governing bodies ruled by a council of elders. Most people respect this system way more than any modern-style central government.clansSOM_KE_ET_DJ_Somalis_Clan_Distribution_Abikar1999distributionabikarsomaliaurn:x-ogc:def:crs:EPSG:432640.9943161010742 -1.6644188165664751.4130363464355 11.9852027893066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=83678176-176a-11ea-b221-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_Aug2019Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2019Breakages 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.FloodsJubba_Breakages2019Juba RiverSomaliaShabelle Riverurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d830f1ca-d957-11e9-aa9f-eab1b014fce8geonode:Shabelle_Juba_Aug_2020FRRMIS_Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2020FAO 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.Revised_middlejuba_Mohamed_Sufi1augustriversShabelle_Juba_Aug_2020FRRMIS_Shabellebreakages_Aug201909-03-2020SOM_Rivers_Juba_shabelle_line_FAOSWALIMfeaturesurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5421e59c-f8a5-11ea-8bb5-eab1b014fce8geonode:River_Juba_Shabelle_Breakage_Aug2021_26082021Status of River Breakages Along Juba and Shabelle Rivers - Issued August 2021SWALIM 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’.
Along 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.
It 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.Revised_middlejuba_Mohamed_Sufi1augustriverssomaliaShabellebreakages_Aug2019Middal_shabelle_LYR2HydroMet_Stations_July_2021urn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8f353abe-0efa-11ec-b51b-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_Feb2017Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2017A 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.featureurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4777828c-de9a-11e9-aa9f-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_Feb_2018Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2018A 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.featureurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.677562713623 4.85454416275024https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3f4e110c-debd-11e9-aa9f-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_Feb2019Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2019Four 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.featureurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=19e287be-d958-11e9-aa9f-eab1b014fce8geonode:Shabelle_Juba_Breakages_Feb_2022Status of River Breakages Along Juba and Shabelle Rivers - Issued February 2022Three 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.
SWALIM 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.
Several 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. This information and data set is also available in the SWALIM spatial database (https://spatial.faoswalim.org/layers/geonode:Shabelle_Juba_Breakages_Feb_2022).Revised_middlejuba_Mohamed_Sufi1februaryShabelle_Juba_Breakages_Feb_2022riverssomaliaShabellebreakages_Aug2019Middal_shabelle_LYR2urn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3068f4a8-80ce-11ec-a425-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_July2018Status of River Breakages Along Juba and Shabelle Rivers - Issued July 2018A 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.featureurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f5d20f1c-d956-11e9-aa9f-eab1b014fce8geonode:Shabelle_Juba_Feb_2020FRRMISStatus of River Breakages Along Juba and Shabelle Rivers - Issued March 2020FAO 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.Shabelle_Juba_Feb_2020FRRMISfeaturesurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=78820c4a-628d-11ea-a56e-eab1b014fce8geonode:River_Juba_Shabelle_Breakages_Feb_2021Status of River Breakages Along Juba and Shabelle Rivers - Issued March 2021Along 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.
It 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.Revised_middlejuba_Mohamed_Sufi1marchriversShabellebreakages_Aug2019Middal_shabelle_LYR2HydroMet_Stations_July_2021urn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=720d311a-19fb-11ec-a60c-eab1b014fce8geonode:Shabelle_Juba_River_Breakages_Sept2017Status of River Breakages Along Juba and Shabelle Rivers - Issued September 2017A total of 48 Open points were identified, 12 along Juba River and 36 along Shabelle River. Several other points, which are either potential or temporarily closed with sandbags, have also been identified.featureurn:x-ogc:def:crs:EPSG:432642.0681838989258 -0.07097000628709845.6786727905273 4.86415719985962https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=368dd498-de0a-11e9-aa9f-eab1b014fce8geonode:SWALIM_River_Breakages_August_2022Status of River Breakages along Juba and Shabelle Rivers - Issued August 2022Four 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.
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.augustriversAgrimask_Galgaduud_29th_Aug_2022somaliaShabellebreakages_Aug2019Growing_Period_Length_FAOSWALIMurn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b348bd64-2820-11ed-9225-eab1b014fce8geonode:River_Juba_Shabelle_Breakage_Apr2023_18042022Status of River Breakages along Juba and Shabelle Rivers - Issued March 2023SWALIM 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.
65 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.
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.River_Juba_Shabelle_Breakage_Apr2023_18042022Riversurn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=191402de-e365-11ed-8f34-eab1b014fce8geonode:Pre_GU_2024_FRMMIS_March_2024Status of River Breakages along Juba and Shabelle Rivers - Issued March 2024FAO-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.
299 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.
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.augustbreakagesjubaPre_GU_2024_FRMMIS_March_2024hirshabellesomaliariverurn:x-ogc:def:crs:EPSG:43261.46237993240356 -0.09637000411748945.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2a6ba434-df6c-11ee-9fb7-eab1b014fce8geonode:River_Juba_Shabelle_Breakage_September_2023Status of River Breakages along Juba and Shabelle Rivers - Issued October 2023FAO-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.featuresRiver_Juba_Shabelle_Breakage_September_2023urn:x-ogc:def:crs:EPSG:432642.0680885314941 -0.07097000628709845.6786727905273 4.89294004440308https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=048bd52e-610c-11ee-b3a3-eab1b014fce8geonode:SOM_Strategic_Water_Sources_Feb2018Strategic Water Sources - February 2018The 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 2006featuresSOM_Strategic_Water_Sources_Feb2018urn:x-ogc:def:crs:EPSG:432640.9912528991699 -1.0560027360916151.2828636169434 11.9533405303955https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=aa04d75a-e044-11e9-9f5c-eab1b014fce8geonode:Strategic_Water_Sources_All_Sept2020Strategic Water Sources - September 2020The 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 2006Strategic_Water_Sources_All_Sept2020featuresurn:x-ogc:def:crs:EPSG:432641.0186996459961 -0.36690002679824851.282901763916 11.9533004760742https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cb92e9d2-eed6-11eb-a59c-eab1b014fce8geonode:Strategic_Water_Sources_20225Strategic_Water_Sources_December_2022No abstract providedfeaturesStrategic_Water_Sources_2022urn:x-ogc:def:crs:EPSG:432640.9956665039062 -1.1400616168975851.2722625732422 11.42396068573https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ffadbc46-98a4-11ed-8cb1-eab1b014fce8geonode:Surface_Water_SourcesSurface_Water_SourcesNo abstract providedfeaturesSurface_Water_Sourcesurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3851.2077903747559 11.7885608673096https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dee42168-17ff-11ea-b221-eab1b014fce8geonode:T37MGU_20180113T072239_B0stack_raster_Liban_F1T37MGU_20180113T072239_B0stack_raster_Liban_F1No abstract providedfeaturesT37MGU_20180113T072239_B0stack_raster_Liban_F0urn:x-ogc:def:crs:EPSG:3273741.4373217799386 -1.662027788811211241.90658237984302 -0.8255374932991194https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=579e54fa-8570-11eb-91ff-eab1b014fce8geonode:T37MHV_20180103T072259_B0stack_raster_Liban_P0T37MHV_20180103T072259_B0stack_raster_Liban_P0No abstract providedT37MHV_20180103T072259_B0stack_raster_Liban_Pfeaturesurn:x-ogc:def:crs:EPSG:3273741.70021476736851 -0.989581458774817642.52702392790747 -0.3439642185820984https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5f2dbafe-33b7-11eb-91ff-eab1b014fce8geonode:T37MHV_20180103T072259_B0stack_raster_Liban_P1T37MHV_20180103T072259_B0stack_raster_Liban_P1No abstract providedT37MHV_20180103T072259_B0stack_raster_Liban_P0featuresurn:x-ogc:def:crs:EPSG:3273741.70021454378477 -0.989581458774817642.52702392790747 -0.3431695730595315https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c63c3d22-8571-11eb-91ff-eab1b014fce8geonode:T37NHA_20180222T071909_B0stack_raster2T37NHA_20180222T071909_B0stack_rasterfeaturesT37NHA_20180222T071909_B0stack_rasterurn:x-ogc:def:crs:EPSG:3263741.694843721224785 -0.088384215178731542.682938586212146 0.30156154233857274geonode:T37NHA_20180222T071909_B0stack_raster_SUFIT37NHA_20180222T071909_B0stack_raster_SUFINo abstract providedT37NHA_20180222T071909_B0stack_raster_SUFIfeaturesurn:x-ogc:def:crs:EPSG:3263741.694095143226164 0.1376748559618695742.695883231719705 0.9064335041307702https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d07d2c78-33b5-11eb-91ff-eab1b014fce8geonode:T37NHA_20180222T071909_B0stack_raster_Sufi_AnT37NHA_20180222T071909_B0stack_raster_Sufi_AnNo abstract providedT37NHA_20180222T071909_B0stack_raster_Sufi_Antony2featuresurn:x-ogc:def:crs:EPSG:3263741.80697968251682 0.1012259799802842142.901311764038724 0.8922400921612212https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8e096e04-7ff2-11eb-91ff-eab1b014fce8geonode:T37NHB_20180113T072239_B0stack_raster_SufiT37NHB_20180113T072239_B0stack_raster_SufiNo abstract providedT37NHB_20180113T072239_B0stack_raster_Sufifeaturesurn:x-ogc:def:crs:EPSG:3263741.71606171991782 0.814441668799473242.593119976655956 1.3157917300405324https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3bdbf9ae-33b6-11eb-91ff-eab1b014fce8geonode:T37NHB_20180113T072239_B0stack_raster_Sufi_AnT37NHB_20180113T072239_B0stack_raster_Sufi_AnNo abstract providedfeaturesT37NHB_20180113T072239_B0stack_raster_Sufi_Antony1urn:x-ogc:def:crs:EPSG:3263741.95610310528032 0.814819474479485442.58709067648457 1.315516835053021https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2e2734b2-7ff2-11eb-91ff-eab1b014fce8geonode:T38NKF_20180113T072239_B0stack_ISSE_raster1T38NKF_20180113T072239_B0stack_ISSE_raster1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263842.3347351665486 -0.070713682122241542.89311508901658 0.140924783161121https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=414c7832-80b4-11eb-91ff-eab1b014fce8geonode:T38NKJ_20180920T071609_B0stack_raster_30T38NKJ_20180920T071609_B0stack_raster_3featuresT38NKJ_20180920T071609_B0stack_raster_3urn:x-ogc:def:crs:EPSG:3263842.9365899357142 2.71231478549681443.200930158088376 2.896547471498747geonode:T38NLH_20181020T071919_B0stack_raster00T38NLH_20181020T071919_B0stack_raster00No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263843.779620297842996 1.743017305373540544.18963916679777 2.013878062075586https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2ef521da-a7f0-11eb-b2e0-eab1b014fce8geonode:T38NMG_20180130T071129_B0stack_raster10T38NMG_20180130T071129_B0stack_raster10No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.097967145704374 1.62356717998343144.90878439611829 1.81869088811981https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7ab3e084-a7f0-11eb-b2e0-eab1b014fce8geonode:T38NMH_20180130T071129_B0stack_raster00T38NMH_20180130T071129_B0stack_raster00No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.11042928445042 1.719519423913795644.93500039934062 2.176824904218532https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c4d66a34-a7ef-11eb-b2e0-eab1b014fce8geonode:T38NMH_20180130T071129_B0stack_raster_Isse01T38NMH_20180130T071129_B0stack_raster_Isse01No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.68113266312375 2.379385668647173745.094306555145224 2.716456113540246https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=caac4ee8-a7ee-11eb-b2e0-eab1b014fce8geonode:T38NMH_20180130T071129_B0stack_raster_Isse011T38NMH_20180130T071129_B0stack_raster_Isse011No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.664246542374244 2.379381682956468745.09435316664969 3.2622449097444326https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1102b676-c364-11eb-a759-eab1b014fce8geonode:T38NMH_20180130T071129_B0stack_raster_Isse1T38NMH_20180130T071129_B0stack_raster_Isse1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.68113266312375 2.379385668647173745.094306555145224 2.716456113540246https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4ad49762-c3ae-11eb-a759-eab1b014fce8geonode:T38NMH_20180130T071129_SUFI_B0stack_raster20T38NMH_20180130T071129_SUFI_B0stack_raster20No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.569603151971386 1.868196513270641545.38745683699538 2.5267838718173468https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9d3b706c-a7ec-11eb-b2e0-eab1b014fce8geonode:T38NMH_20180130T071129_SUFI_B0stack_raster200T38NMH_20180130T071129_SUFI_B0stack_raster200No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.569603151971386 1.868196513270641545.38745683699538 2.5267838718173468https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=460af7a8-c368-11eb-a759-eab1b014fce8geonode:T38NMH_T38NMG_T38NLH_2018_B0stack_AntonyT38NMH_T38NMG_T38NLH_2018_B0stack_AntonyNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.26684565756331 1.62363594023123144.9315936925941 2.1777354072527357https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7c7c628a-095a-11ec-8a75-eab1b014fce8geonode:T38NMH_T38NMG_T38NLH_2018_B0stack_Antony_v2T38NMH_T38NMG_T38NLH_2018_B0stack_Antony_v2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.26684565756331 1.62363594023123144.9315936925941 2.1777354072527357https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a419c1ce-afa5-11ec-b45f-eab1b014fce8geonode:T38NMJ_20180902T070621_B0stack_raster_Isse1T38NMJ_20180902T070621_B0stack_raster_Isse1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.664246542374244 2.628361750337598245.09188992535095 3.2622448837454847https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=90215ade-a7ee-11eb-b2e0-eab1b014fce8geonode:T38NMK_20180902T070621_B0stack_rasterT38NMK_20180902T070621_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.7524873907325 4.19162889380431644.77550376096248 4.209151217997784https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5c14914e-5684-11ec-b9c6-eab1b014fce8geonode:T38NMK_20180902T070621_B0stack_raster1T38NMK_20180902T070621_B0stack_raster1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.7524873907325 4.19162889380431644.77550376096248 4.209151217997784https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=72549798-7898-11ec-b792-eab1b014fce8geonode:T38NMK_20180902T070621_B0stack_raster10T38NMK_20180902T070621_B0stack_raster10No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.7524873907325 4.19162889380431644.77550376096248 4.209151217997784https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e706d2ae-891e-11ec-a425-eab1b014fce8geonode:T38NMK_20180902T070621_B0stack_raster5T38NMK_20180902T070621_B0stack_raster5No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.7524873907325 4.19162889380431644.77550376096248 4.209151217997784https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=71363fe2-891e-11ec-a425-eab1b014fce8geonode:T38NMK_20180902T070621_B0stack_raster6T38NMK_20180902T070621_B0stack_raster6No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.7524873907325 4.19162889380431644.77550376096248 4.209151217997784https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=92b831de-891e-11ec-a425-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_Julie_16Nov0T38NNH_20180130T071129_B0stack_Julie_16Nov0No abstract providedagrimask_middlejuba_Mohamed_Sufi_1urn:x-ogc:def:crs:EPSG:432645.1012496948242 2.1521072387695345.7297782897949 3.22041273117065https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a345131a-65b3-11ed-bd92-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_julie_13th_OctT38NNH_20180130T071129_B0stack_julie_13th_OctNo abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:432645.1012496948242 2.1516692638397245.7332801818848 3.22041273117065https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b64f75f8-4abb-11ed-98e9-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_raster_Isse1T38NNH_20180130T071129_B0stack_raster_Isse1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.07831544356092 2.29724109519358445.33909686602549 2.6273802954402568https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=53e40f8a-a7ee-11eb-b2e0-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_raster_Isse1_RT38NNH_20180130T071129_B0stack_raster_Isse1_RNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.078315330197164 2.29515886965998745.33909686602549 2.6273802954402568https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=78abde9c-e3b2-11eb-a742-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_raster_Isse4T38NNH_20180130T071129_B0stack_raster_Isse4No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.175922735287834 2.15332883826726845.719270564814764 3.001292006575537https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f3ae0ddc-0efe-11ec-b51b-eab1b014fce8geonode:T38NNH_20180130T071129_B0stack_raster_Liban0T38NNH_20180130T071129_B0stack_raster_Liban0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.59315446438569 2.206321804005763345.95959852939548 2.7157304443210273https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4705c2e0-0eff-11ec-b51b-eab1b014fce8geonode:T38NNJ_20180130T071129_B0stack_raster_Isse0T38NNJ_20180130T071129_B0stack_raster_Isse0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.07781621116902 2.62107947041996345.3410831816962 3.2142023187665227https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9964c71c-a7ed-11eb-b2e0-eab1b014fce8geonode:T38NNJ_20180130T071129_B0stack_raster_Isse0_RT38NNJ_20180130T071129_B0stack_raster_Isse0_RNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.99983714155408 2.62107183704536145.3410831816962 3.214205299946244https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=eea1a23a-e3b2-11eb-a742-eab1b014fce8geonode:T38NNJ_20180130T071129_B0stack_raster_Isse2T38NNJ_20180130T071129_B0stack_raster_Isse2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.14636804479731 2.71395117407755445.59231896228861 3.2126406495109054https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=620ae8fe-0eff-11ec-b51b-eab1b014fce8geonode:T38NNJ_20180130T071129_B0stack_raster_Liban0T38NNJ_20180130T071129_B0stack_raster_Liban0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.425053761688666 2.68177122268614245.89061575948774 3.2253968425963477https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8a45138a-0eff-11ec-b51b-eab1b014fce8geonode:T38NNJ_20180130T071129_B0stack_raster_Sufi0T38NNJ_20180130T071129_B0stack_raster_Sufi0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.71057689447547 2.51440480888429646.14635819149765 3.252300085898469https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c71836e8-0eff-11ec-b51b-eab1b014fce8geonode:T38NNJ_T38NNH_20180130T071129_14102022T38NNJ_T38NNH_20180130T071129_14102022No abstract providedAgriMask_Ahmed_AoIurn:x-ogc:def:crs:EPSG:3263845.42463012608957 2.320774079887853346.14635819149765 3.2524618072273066https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0f88d04a-4b8b-11ed-98e9-eab1b014fce8geonode:T38NNK_20180902T070621_B0stack_raste1T38NNK_20180902T070621_B0stack_raste1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.19473113769076 4.24582291694359945.89900522241364 4.508913798576967https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=56d98ca6-5685-11ec-b9c6-eab1b014fce8geonode:T38NNK_20180902T070621_B0stack_rasterT38NNK_20180902T070621_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.19473113769076 4.24582291694359945.89900522241364 4.508913798576967https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=88fec27a-7898-11ec-b792-eab1b014fce8geonode:T38NNK_20180902T070621_B0stack_raster2T38NNK_20180902T070621_B0stack_raster2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.19473113769076 4.24582291694359945.89900522241364 4.508913798576967https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a580a92c-891e-11ec-a425-eab1b014fce8geonode:T38NNK_20180902T070621_B0stack_raster6T38NNK_20180902T070621_B0stack_raster6No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.19473113769076 4.24582291694359945.89900522241364 4.508913798576967https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0b77e196-891f-11ec-a425-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_rasterT38NNL_20180912T070621_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263844.99981918334971 4.43417666831533645.981896741372694 5.412626421480122https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e1191ede-349a-11ec-a3b4-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster0T38NNL_20180912T070621_B0stack_raster0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.013228348057005 4.29578121816403945.981896741372694 5.41262627667127https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=60e8e936-5684-11ec-b9c6-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster1T38NNL_20180912T070621_B0stack_raster1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.013228348057005 4.29578121816403945.981896741372694 5.41262627667127https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cda94b4c-5684-11ec-b9c6-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster2T38NNL_20180912T070621_B0stack_raster2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.013228348057005 4.29578121816403945.981896741372694 5.41262627667127https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9f069e94-7898-11ec-b792-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster3T38NNL_20180912T070621_B0stack_raster3No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.013228348057005 4.29578121816403945.981896741372694 5.41262627667127https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dfbde0e6-7898-11ec-b792-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster5T38NNL_20180912T070621_B0stack_raster5No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.012079048738855 4.29578121816403945.981896741372694 5.412626300745111https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b9ca2af2-891e-11ec-a425-eab1b014fce8geonode:T38NNL_20180912T070621_B0stack_raster6T38NNL_20180912T070621_B0stack_raster6No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.012079048738855 4.29578121816403945.981896741372694 5.412626300745111https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d34d7290-891e-11ec-a425-eab1b014fce8geonode:mergeT38NNL_20180912T070621_B0stack_raster_AbdimajidNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:432644.7524909973145 4.1916289329528845.9813766479492 5.41233968734741https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=598d95c0-b588-11ec-bec7-eab1b014fce8geonode:T38NPJ_20180130T071129_B0stack_rasterT38NPJ_20180130T071129_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.96173115527991 2.854533514028912346.380121346988794 3.4838558695750144https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=657fe09c-21b6-11ec-b784-eab1b014fce8geonode:T38NPJ_20180130T071129_B0stack_raster0T38NPJ_20180130T071129_B0stack_raster0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.96173115527991 2.854533514028912346.380121346988794 3.4838558695750144https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b9c48054-21b6-11ec-b784-eab1b014fce8geonode:T38NPJ_20180130T071129_B0stack_raster1T38NPJ_20180130T071129_B0stack_raster1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.96173115527991 2.854533514028912346.380121346988794 3.4838558695750144https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ffa5f54a-4154-11ec-bd98-eab1b014fce8geonode:T38NPJ_20180130T071129_B0stack_raster2T38NPJ_20180130T071129_B0stack_raster2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.96158805938622 2.67690632123884746.40456102894306 3.491232349512627https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=71ccce50-4155-11ec-bd98-eab1b014fce8geonode:T38NPJ_20180130T071129_B0stack_raster_Aways1T38NPJ_20180130T071129_B0stack_raster_Aways1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.329998588916304 3.186312979537963746.88075231469621 3.63522470955443https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=033f5ae8-0f00-11ec-b51b-eab1b014fce8geonode:T38NPK_20180902T070621_B0stack_rasterT38NPK_20180902T070621_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.198670992275396 3.909833851193139446.8929002515082 4.522930711421049https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1e2af52e-326e-11ec-a3b4-eab1b014fce8geonode:T38NPK_20180902T070621_B0stack_raster0T38NPK_20180902T070621_B0stack_raster0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.198670992275396 3.909833851193139446.8929002515082 4.522930711421049https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a899099e-5271-11ec-b9c6-eab1b014fce8geonode:T38NPK_20180902T070621_B0stack_raster_Aways0T38NPK_20180902T070621_B0stack_raster_Aways0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.19271022124793 3.37185773815665346.81191345650505 3.8658310635923256https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=259bc59a-0f00-11ec-b51b-eab1b014fce8geonode:T38NPK_20180902T070621_B0stack_raster_HersiT38NPK_20180902T070621_B0stack_raster_HersiNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.065705434991585 3.52736693076900846.39710875401863 3.738734786322742https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=92fea636-0efe-11ec-b51b-eab1b014fce8geonode:T38NPK_20180902T070621_B0stack_raster_Hersi0T38NPK_20180902T070621_B0stack_raster_Hersi0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.065705434991585 3.52736693076900846.39710875401863 3.738734786322742https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4a8f88c8-0f00-11ec-b51b-eab1b014fce8geonode:T38NPL_20180902T070621_B0stack_raster_IsseT38NPL_20180902T070621_B0stack_raster_IsseNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.816275127214396 5.0757391146781546.774783638725026 5.434943382817884https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=29da86a4-34d6-11ec-a3b4-eab1b014fce8geonode:T38NPL_20180902T070621_B0stack_raster_Isse2T38NPL_20180902T070621_B0stack_raster_Isse2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263845.59228031653105 5.0757391146781546.774783638725026 5.435205045982862https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=27f9fdd8-7a77-11ec-b792-eab1b014fce8geonode:T38NQL_20180731T065621_B0stack_raster_AwaysT38NQL_20180731T065621_B0stack_raster_AwaysNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.957138615959515 4.01752866716191647.63125922982542 4.799121849260863https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3e4dd922-3587-11ec-a3b4-eab1b014fce8geonode:T38NQL_20180731T065621_B0stack_raster_Aways2T38NQL_20180731T065621_B0stack_raster_Aways2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.449533930670306 3.718771487474443747.63125922982542 4.800390469145841https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=be51970a-54e3-11ec-b9c6-eab1b014fce8geonode:T38NQL_20180731T065621_B0stack_raster_Aways20T38NQL_20180731T065621_B0stack_raster_Aways20No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.449533930670306 3.718771487474443747.63125922982542 4.800390469145841https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d751c1d2-7642-11ec-8598-eab1b014fce8geonode:T38NQL_20180907T070609_B0stack_rasterT38NQL_20180907T070609_B0stack_rasterNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.26200213008165 3.90982588798168846.89642585459268 4.524776523068787https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=42314b56-792e-11ec-b792-eab1b014fce8geonode:T38NQM_20180808T070619_B0stack_raster_IsseT38NQM_20180808T070619_B0stack_raster_IsseNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.375935168830175 5.20030427909289347.50030860248065 6.305900395517046https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a88ebdf8-55a1-11ec-b9c6-eab1b014fce8geonode:T38NQM_20180808T070619_B0stack_raster_Isse2T38NQM_20180808T070619_B0stack_raster_Isse2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.375935168830175 5.20030427909289347.50030860248065 6.305900395517046https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=edac197c-7a76-11ec-b792-eab1b014fce8geonode:T38NQM_20180808T070619_B0stack_raster_lastT38NQM_20180808T070619_B0stack_raster_lastNo abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.375935168830175 5.20030427909289347.50030860248065 6.305900395517046https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f3505792-aaa7-11ec-b45f-eab1b014fce8geonode:T38NQM_20180808T070619_B0stack_raster_last0T38NQM_20180808T070619_B0stack_raster_last0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.375935168830175 5.20030427909289347.50030860248065 6.305900395517046https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2776191c-aaa8-11ec-b45f-eab1b014fce8geonode:T38NQN_20180729T070619_SUFI_B0stack_raster0T38NQN_20180729T070619_SUFI_B0stack_raster0No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.56921147345657 6.19089748412727547.807918864398594 7.291528273447662https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=907c7f74-3333-11ec-a3b4-eab1b014fce8geonode:T38NQN_20180729T070619_SUFI_B0stack_raster1T38NQN_20180729T070619_SUFI_B0stack_raster1No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.56921147345657 6.19089748412727547.807918864398594 7.291528273447662https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=3a38b74a-5660-11ec-b9c6-eab1b014fce8geonode:T38NQN_20180729T070619_SUFI_B0stack_raster2T38NQN_20180729T070619_SUFI_B0stack_raster2No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.564882154051595 4.48953384915471347.807918864398594 7.291528273447662https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=98832c36-7500-11ec-8598-eab1b014fce8geonode:T38NQN_20180729T070619_SUFI_B0stack_raster3T38NQN_20180729T070619_SUFI_B0stack_raster3No abstract providedfeatureurn:x-ogc:def:crs:EPSG:3263846.564882154051595 4.489452831875043547.82907678855699 7.291528273447662https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5bdaf1d0-86a6-11ec-a425-eab1b014fce8geonode:SOM_TopomapsIndexTopographic Maps Index _SomaliaThe 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.SOM_TopomapsIndexindextopographicsomaliaurn:x-ogc:def:crs:EPSG:432640.9990997314453 -1.6662673950195351.4992141723633 12.0005664825439https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=282e057c-1054-11ea-886c-eab1b014fce8geonode:SOM_VeryHighResolution_ImageIndexVery High Resolution Image Index_SomaliaImage 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.indexveryimagehighsomaliaresolutionurn:x-ogc:def:crs:EPSG:4326-2.62777781486511 -2.3347585201263451.3320121765137 36.7050018310547https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=36117a70-1054-11ea-886c-eab1b014fce8geonode:Water_Cathments_Phases_2Ato7B_SWSWater CathmentsSomalia surface water resources infrastructures rehabilitated by FAO Somalia under Cash for Work Programme.Water Sourcesurn:x-ogc:def:crs:EPSG:432640.9912528991699 -0.49694302678108250.5030174255371 11.2295351028442https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9bc16130-17fe-11ea-b221-eab1b014fce8geonode:Water_Sourse_Data_2022v3Water_Sourse_Data_2022v3No abstract providedfeaturesWater_Sourse_Data_2022v3urn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E384.5288132E7 11.42396068573https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d0b91344-9891-11ed-8cb1-eab1b014fce8geonode:Water_Sourse_Data_2022v30Water_Sourse_Data_2022v30No abstract providedfeaturesWater_Sourse_Data_2022v3urn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E384.5288132E7 11.42396068573https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dbbd2eec-9891-11ed-8cb1-eab1b014fce8geonode:first_shape_file_in_Galgadudfirst_shape_file_in_GalgadudNo abstract providedfeaturesfirst_shape_file_in_Galgadudurn:x-ogc:def:crs:EPSG:3263846.87338915619378 4.948495168597502547.58451972809551 5.425018839045708https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=758ceb8c-3332-11ec-a3b4-eab1b014fce8geonode:lshabelle_Hersi_23_2_2021lshabelle_Hersi_23_2_2021No abstract providedlshabelle_Hersi_23_2_2021featuresurn:x-ogc:def:crs:EPSG:3263844.087478001265076 1.244568643933066844.64504225655606 1.7148800445512444https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5e3b83ea-75f4-11eb-91ff-eab1b014fce8geonode:merge2mergefeaturesmergeurn:x-ogc:def:crs:EPSG:432644.7524909973145 4.1916289329528845.9813766479492 5.41233968734741geonode:station_hydrometstation_hydrometNo abstract providedfeaturesstation_hydrometurn:x-ogc:def:crs:EPSG:4326-3.40282E38 -3.40282E3850.8117980957031 11.9653205871582https://spatial.faoswalim.org/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=368cb38e-222e-11ea-b221-eab1b014fce8gml:Envelopegml:Pointgml:LineStringgml:PolygonLessThanGreaterThanLessThanEqualToGreaterThanEqualToEqualToNotEqualToLikeBetweenNullCheckabsabs_2abs_3abs_4acosAddCoveragesAffineAggregateareaarea2AreaGridasinatanatan2attributeCountBandMergeBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcentroidclassifyClassifyByRangeClipcollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddouble2boolendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorgeometrygeometryTypegeomFromWKTgeomLengthGeorectifyCoverageGetFullCoveragegetGeometryNgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridHeatmaphslidIEEEremainderif_then_elseImportinin10in2in3in4in5in6in7in8in9inArrayInclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonPointerlabelPointlapplylengthlessEqualThanlessThanlightenlistlistMultiplylitemliteratelogLRSGeocodeLRSMeasureLRSSegmentmaxmax_2max_3max_4minmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenotnotEqualTonumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetoverlapsPagedUniqueparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNPointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryqueryCollectionquerySinglerandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectReprojectGeometryrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesdo_nnsetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointStoreCoveragestrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoRadianstouchestoWKTTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticeswithin