Forest Cover Classification
Forest Cover Classification is a remote sensing methodology that categorizes land surface areas into distinct forest cover types based on spectral, spatial, and temporal characteristics derived from satellite or aerial imagery.
1.1K
Publications
63.8K
Citations
3.5K
Authors
1.1K
Institutions
Publications per year
2017–2026
366
Parents
1.1K
Classifying drivers of global forest loss
Philip G. Curtis, Christy M. Slay, Nancy L. Harris et al. · Science · 2018 · 2.3K citations
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3.5K
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1.1K
Joint Research Centre
Ispra, Italy
24 h-index
93 publications
5.9K citations

Chinese Academy of Sciences
Beijing, China
21 h-index
99 publications
3.8K citations

US Forest Service
Washington, United States
20 h-index
39 publications
4.2K citations
University of Maryland, College Park
College Park, United States
18 h-index
38 publications
9.7K citations
Natural Resources Canada
Ottawa, Canada
17 h-index
44 publications
3.1K citations

Instituto Nacional de Pesquisas Espaciais
São José dos Campos, Brazil
16 h-index
79 publications
4K citations
University of Chinese Academy of Sciences
Beijing, China
14 h-index
40 publications
1.3K citations
Goddard Space Flight Center
Greenbelt, United States
14 h-index
24 publications
2K citations
1–8 of 1.1K
70 publications · 9.5K citations
52
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101 publications · 7.5K citations
47
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94 publications · 5.4K citations
42
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32 publications · 4.1K citations
26
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JAG · 29 publications · 1.3K citations
22
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