The CCI Land Cover (LC) team is proud to announce the successful development of a prototype high resolution LC map at 20m over Africa based on 1 year of Sentinel-2A observations from December 2015 to December 2016. The main objective of the 'S2 prototype LC map at 20m of Africa 2016' release is to collect users feedback for further improvements. The Coordinate Reference System used for the global land cover database is a geographic coordinate system (GCS) based on the World Geodetic System 84 (WGS84) reference ellipsoid. The legend of the S2 prototype LC 20m map of Africa 2016 was built after reviewing various existing typologies (e.g. LCCS, LCML…), global (e.g. GLC-share, GlobeLand30) and national experiences (Africover, SERVIR-RMCD). 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. Two classification algorithms, the Random Forest (RF) and Machine Learning (ML), were chosen to transform the cloud-free reflectance composites generated by the pre-processing module into a land cover map. The two maps resulting from both approaches are then combined either to select the best representation of a land cover class which will be part of the final S2 prototype LC 20m map of Africa 2016 or, in case of unreliable LC class delineation, the reference layer is used to consolidate the land cover classification. Considering the heavy download related to the full S2 prototype LC 20m map of Africa 2016, a web interface was developed to mainly visualize and interact with data.
A left click, anywhere on the layer, highlights the LC-Map label of the selected pixel in the legend description of the left panel.
See link.
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