Land Cover Classification
Land Cover Classification is a geospatial analysis technique that categorizes observed terrain surfaces into distinct, predefined land cover types based on spectral, spatial, and temporal characteristics derived from remotely sensed imagery.
12.7K
Publications
890.1K
Citations
30.6K
Authors
5K
Institutions
Publications per year
2017–2026
5.4K
12.7K
SoilGrids250m: Global gridded soil information based on machine learning
Tomislav Hengl, Jorge Mendes de Jesus, G.B.M. Heuvelink et al. · PLoS ONE · 2017 · 4.7K citations · Full text
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30.6K
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SUNY College of Environmental Science and Forestry, United States
47 publications · 6.6K citations
36
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35
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Chinese Academy of Sciences
Beijing, China
99 h-index
2.5K publications
177.2K citations
United States Geological Survey
Reston, United States
80 h-index
394 publications
87.4K citations
Wuhan University
Wuhan, China
76 h-index
856 publications
68.6K citations
University of Maryland, College Park
College Park, United States
73 h-index
378 publications
49.7K citations
University of Chinese Academy of Sciences
Beijing, China
69 h-index
801 publications
41.1K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
69 h-index
441 publications
44.7K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
66 h-index
761 publications
73.6K citations
Joint Research Centre
Ispra, Italy
64 h-index
387 publications
42.6K citations
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487 publications · 100.8K citations
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1.3K publications · 110.7K citations
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1.5K publications · 93.3K citations
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502 publications · 53.5K citations
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332 publications · 35.2K citations
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