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Service 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".
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.
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Service Item Id: 73050b8c9a0c4b6ca67b112696c4ba34
Copyright Text: European Space Agency Climate Change Initiative Land Cover Team
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -857625.1912661069
YMin: -2769420.9842649032
XMax: 9349495.606477242
YMax: 2939814.8705039932
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -2072707.0744493701
YMin: -4207766.775376424
XMax: 5778748.477489015
YMax: 4556905.152530631
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
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Comments: 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.
Subject: The S2 prototype LC 20m map of Africa 2016 displays the land cover of Africa at 20m.
Category:
Keywords: Land Cover Africa
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 10000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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