{
 "culture": "en-US",
 "name": "Land_Cover_Africa_2016",
 "guid": "3C2012CF-21B7-460E-9EDF-1A9FDB3D4052",
 "catalogPath": "",
 "snippet": "The S2 prototype LC 20m map of Africa 2016 displays the land cover of Africa at 20m. ",
 "description": "The legend includes 10 generic classes that appropriately describe the land surface at 20m: \"trees cover areas\", \"shrubs cover areas\", \"grassland\", \"cropland\", \"vegetation aquatic or regularly flooded\", \"lichen and mosses / sparse vegetation\", \"bare areas\", \"built up areas\", \"snow and/or ice\" and \"open water\".\nIt is a prototype built after reviewing various existing typologies, including LCCS and LCML, as well as global and national experiences (such as GLC-share, GlobeLand30, Global Surface Water product from JRC/EC, Global Human Settlement Layer from JRC/EC, Global Urban Footprint from DLR, Africover, and SERVIR-RMCD). The Random Forest (RF) and Machine Learning (ML) classification algorithms were also chosen to transform the cloud-free reflectance composites into a land cover map. The two maps resulting from both approaches were then combined either to select the best representation of a land cover class or, in case of unreliable LC class delineation, the reference layer (based on 1 year of Sentinel-2 A satellite observations from December 2015 to December 2016) is used to consolidate the land cover classification.\n",
 "summary": "The S2 prototype LC 20m map of Africa 2016 displays the land cover of Africa at 20m. ",
 "title": "Land_Cover_Africa_2016",
 "tags": [
  "Land Cover Africa"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -18.6194444448053,
   -35.3224481788797
  ],
  [
   51.911380804108,
   37.8404070792234
  ]
 ],
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "European Space Agency Climate Change Initiative Land Cover Team",
 "licenseInfo": ""
}