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<Esri>
<CreaDate>20190930</CreaDate>
<CreaTime>12565500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
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<dataIdInfo>
<idAbs>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".
It 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.
</idAbs>
<searchKeys>
<keyword>Land Cover Africa</keyword>
</searchKeys>
<idPurp>The S2 prototype LC 20m map of Africa 2016 displays the land cover of Africa at 20m. </idPurp>
<idCredit>European Space Agency Climate Change Initiative Land Cover Team</idCredit>
<resConst>
<Consts>
<useLimit/>
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<idCitation>
<resTitle>Land_Cover_Africa_2016</resTitle>
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