WFS2.0.0Digital Earth AfricaPretoriaGauteng0087South Africainfo@digitalearthafrica.org1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQueryafricapolis:Africapolis_2015Africapolis is a geospatial database of African urban agglomeration boundaries maintained by the Sahel and West Africa Club (SWAC) at the OECD. Africapolis has been designed to provide a much-needed standardised and geospatial database on urbanisation dynamics in Africa, comparable across countries and across time. This dataset , Africapolis 2015, contains the urban agglomeration boundaries for the year 2015 with indicators of urban green space cover within the urban agglomerations, i.e., the percentage of the urban agglomeration area that has green cover (trees, shrubs, and grass), as well as the percentage of tree cover.featuresafricapolis_2015urn:ogc:def:crs:EPSG::4326-25.441370010375977 -34.90423202514648463.93491744995117 37.693092346191406africapolis:Africapolis_2020Africapolis is a geospatial database of African urban agglomeration boundaries maintained by the Sahel and West Africa Club (SWAC) at the OECD. Africapolis has been designed to provide a much-needed standardised and geospatial database on urbanisation dynamics in Africa, comparable across countries and across time. This dataset , Africapolis 2020, contains the urban agglomeration boundaries for the year 2020 with indicators of urban green space cover within the urban agglomerations, i.e., the percentage of the urban agglomeration area that has green cover (trees, shrubs, and grass), as well as the percentage of tree cover.featuresafricapolis_2020urn:ogc:def:crs:EPSG::4326-25.441370010375977 -34.9598922729492263.93491744995117 37.694217681884766waterbodies:DEAfrica_WaterbodiesThe Digital Earth Africa Waterbodies Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems. On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations. More information about the DE Africa Waterbodies and data access can be found in the User Guide (https://docs.digitalearthafrica.org/en/latest/data_specs/Waterbodies_specs.html)featureswaterbodies_historical_extenturn:ogc:def:crs:EPSG::4326-17.443828582763672 -34.7896804809570354.52692413330078 37.3135986328125waterbodies:DEAfrica_Waterbodies_v0_0_1featureswaterbodiesurn:ogc:def:crs:EPSG::4326-17.54176858719013 -34.8324548450488853.309029912076106 37.55317338539227waterbodies:DEAfrica_Waterbodies_v0_0_2featureswaterbodiesurn:ogc:def:crs:EPSG::4326-17.54176858719013 -34.8324548450488853.309029912076106 37.55317338539227waterbodies:DEAfrica_Waterbodies_v0_0_3The Digital Earth Africa Waterbodies Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems. On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations. More information about the DE Africa Waterbodies and data access can be found in the User Guide (https://docs.digitalearthafrica.org/en/latest/data_specs/Waterbodies_specs.html)featureswaterbodiesurn:ogc:def:crs:EPSG::4326-17.54176858719013 -34.8324548450488853.309029912076106 37.55317338539227waterbodies:DEAfrica_Waterbodies_v0_0_4The Digital Earth Africa Waterbodies Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems. On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations. More information about the DE Africa Waterbodies and data access can be found in the User Guide (https://docs.digitalearthafrica.org/en/latest/data_specs/Waterbodies_specs.html)featureswaterbodies_historical_extenturn:ogc:def:crs:EPSG::4326-17.443828582763672 -34.7896804809570354.52692413330078 37.3135986328125waterbodies:DEAfrica_Waterbodies_v0_0_5The Digital Earth Africa Waterbodies Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems. On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations. More information about the DE Africa Waterbodies and data access can be found in the User Guide (https://docs.digitalearthafrica.org/en/latest/data_specs/Waterbodies_specs.html)featureswaterbodies_historical_extenturn:ogc:def:crs:EPSG::4326-17.443828582763672 -34.7896804809570354.52692413330078 37.3135986328125coastlines:coastlines_v0_3_0featurescoastlines_v0.3.0urn:ogc:def:crs:EPSG::4326-17.530020617134365 -34.8334711929382451.41527617299833 37.358192510742306coastlines:coastlines_v0_3_0_hotspots_zoom_1featurescoastlines_v0.3.0_hotspots_zoom_1urn:ogc:def:crs:EPSG::4326-17.529918743821995 -34.8328660460978551.34923359460543 37.34408308455104coastlines:coastlines_v0_3_0_hotspots_zoom_2featurescoastlines_v0.3.0_hotspots_zoom_2urn:ogc:def:crs:EPSG::4326-17.529918743821995 -34.8328660460978551.39933227075402 37.34408308455104coastlines:coastlines_v0_3_0_hotspots_zoom_3featurescoastlines_v0.3.0_hotspots_zoom_3urn:ogc:def:crs:EPSG::4326-17.529918743821995 -34.8328660460978551.41180925227089 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