Remote Sensing Identification
Remote Sensing Identification is a methodological framework within plant science that employs spectral and spatial data acquired through satellite or aerial sensors to detect and classify forage plants or parasitic weeds, distinguishing it from field-based or laboratory identification techniques by enabling non-invasive, large-scale, and rapid species discrimination across heterogeneous landscapes.
99
Publications
4K
Citations
462
Authors
181
Institutions
Publications per year
2017–2026
50
99
1–5 of 99
462
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181

Chinese Academy of Sciences
Beijing, China
12 h-index
61 publications
1.9K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
26 publications
643 citations
Aerospace Information Research Institute
Beijing, China
5 h-index
26 publications
771 citations

Agricultural Research Service
Washington, United States
4 h-index
4 publications
758 citations
Yunnan Academy of Agricultural Sciences
Kunming, China
3 h-index
7 publications
333 citations
University of California, Davis
Davis, United States
3 h-index
12 publications
3.1K citations
Xinjiang Institute of Ecology and Geography
Ürümqi, China
3 h-index
4 publications
65 citations
Yunnan University of Traditional Chinese Medicine
Kunming, China
3 h-index
6 publications
276 citations
1–8 of 181
10 publications · 282 citations
10
h-index
6 publications · 1.4K citations
6
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5 publications · 132 citations
5
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4 publications · 120 citations
4
h-index
3 publications · 84 citations
3
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1–5