Supervised Crop Classification
Supervised Crop Classification is a remote sensing image analysis method that assigns crop types to land cover pixels through machine learning models trained on labeled spectral-temporal data.
96
Publications
9.9K
Citations
372
Authors
165
Institutions
Publications per year
2017–2026
70
Parents
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372
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165

Chinese Academy of Sciences
Beijing, China
5 h-index
8 publications
221 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
4 h-index
23 publications
701 citations
Technical University of Munich
Munich, Germany
3 h-index
7 publications
271 citations

Agricultural Research Service
Washington, United States
3 h-index
8 publications
179 citations
China University of Geosciences
Wuhan, China
3 h-index
6 publications
334 citations
Aerospace Information Research Institute
Beijing, China
3 h-index
7 publications
211 citations
Agriculture and Agri-Food Canada
Ottawa, Canada
3 h-index
5 publications
114 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
6 publications
1.2K citations
1–8 of 165
8 publications · 697 citations
8
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8 publications · 503 citations
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7 publications · 5.2K citations
7
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5 publications · 776 citations
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JAG · 5 publications · 257 citations
5
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