Multi-temporal Remote Sensing Analysis
Multi-Temporal Remote Sensing Analysis is a remote sensing methodology that involves the systematic acquisition and comparison of geospatial data from the same region at multiple time intervals to detect, quantify, and analyze temporal changes in land cover and surface features, particularly for monitoring dynamic environmental systems such as wetlands.
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Publications
26.4K
Citations
1.8K
Authors
696
Institutions
Publications per year
2017–2026
246
Parents
465
Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery
Komeil Rokni, Anuar Ahmad, Ali Selamat et al. · Remote Sensing · 2014 · 672 citations · Full text
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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Chinese Academy of Sciences
Beijing, China
28 h-index
162 publications
11.4K citations
University of Chinese Academy of Sciences
Beijing, China
20 h-index
51 publications
3.1K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
17 h-index
43 publications
4.2K citations
Wuhan University
Wuhan, China
17 h-index
49 publications
5K citations
Aerospace Information Research Institute
Beijing, China
15 h-index
42 publications
2.3K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
15 h-index
34 publications
2.8K citations
Nanjing University
Nanjing, China
12 h-index
27 publications
2.3K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
12 h-index
42 publications
3.1K citations
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70 publications · 4.1K citations
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34 publications · 5.3K citations
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32 publications · 2K citations
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JAG · 14 publications · 1.3K citations
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12 publications · 1.3K citations
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