Multi-temporal Crop Classification
Multi-Temporal Crop Classification is a crop classification approach that distinguishes itself by integrating remote sensing data from multiple phenological stages of crop growth to improve discrimination among crop types through temporal dynamics.
203
Publications
14.9K
Citations
712
Authors
268
Institutions
Publications per year
2017–2026
137
Parents
203
Deep learning based multi-temporal crop classification
Liheng Zhong, Lina Hu, Hang Zhou · Remote Sensing of Environment · 2018 · 993 citations
Agriculture, Agronomy, Crop Sciences +11
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
Shunping Ji, Chi Zhang, Anjian Xu et al. · Remote Sensing · 2018 · 393 citations · Full text
Agriculture, Agronomy, Crop Sciences +15
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268

Chinese Academy of Sciences
Beijing, China
22 h-index
93 publications
6.5K citations
University of Chinese Academy of Sciences
Beijing, China
16 h-index
40 publications
3.1K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
13 h-index
42 publications
2K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
13 h-index
45 publications
2.5K citations
Institute of Agricultural Resources and Regional Planning
Beijing, China
12 h-index
44 publications
2.6K citations
Chinese Academy of Agricultural Sciences
Beijing, China
12 h-index
44 publications
2.6K citations
Aerospace Information Research Institute
Beijing, China
9 h-index
25 publications
1.1K citations
Agriculture and Agri-Food Canada
Ottawa, Canada
8 h-index
21 publications
1.3K citations
1–8 of 268
41 publications · 3.4K citations
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14 publications · 819 citations
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13 publications · 3.5K citations
13
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8 publications · 730 citations
8
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JAG · 7 publications · 602 citations
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