Land Cover Data
Land Cover Data is a spatial dataset that categorizes the physical and biological composition of the Earth's surface, distinguishing itself from other geospatial datasets by representing observed biophysical materials such as vegetation, water, and artificial surfaces at specific geographic locations.
3K
Publications
219.1K
Citations
10.3K
Authors
2.6K
Institutions
Publications per year
2017–2026
1.2K
Parents
3K
Collin G. Homer, Jon Dewitz, Limin Yang et al. · Photogrammetric Engineering & Remote Sensing · 2015 · 2.7K citations
1–5 of 3K
10.3K
International Institute for Applied Systems Analysis, Austria
27 publications · 4K citations
24
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23
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20
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20
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19
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1–5 of 10.3K
2.6K

Chinese Academy of Sciences
Beijing, China
53 h-index
545 publications
30.8K citations
United States Geological Survey
Reston, United States
52 h-index
230 publications
37.4K citations
Joint Research Centre
Ispra, Italy
46 h-index
166 publications
24.9K citations
University of Maryland, College Park
College Park, United States
39 h-index
132 publications
20.9K citations
University of Chinese Academy of Sciences
Beijing, China
36 h-index
196 publications
7.7K citations

Centre National de la Recherche Scientifique
Paris, France
34 h-index
145 publications
13.7K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
33 h-index
243 publications
11.3K citations
Goddard Space Flight Center
Greenbelt, United States
32 h-index
93 publications
13.5K citations
1–8 of 2.6K
169 publications · 20.4K citations
66
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265 publications · 18.4K citations
63
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83 publications · 16.1K citations
57
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42 publications · 4.3K citations
33
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40 publications · 11.1K citations
31
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1–5