Multispectral Crop Classification is a remote sensing-based analytical method that distinguishes and categorizes crop types by exploiting spectral reflectance patterns across multiple discrete wavelength bands, differing from other crop classification approaches through its reliance on multispectral imagery to capture crop-specific biophysical signatures.
106
Publications
4K
Citations
439
Authors
200
Institutions
Publications per year
2017–2026
53
Parents
Publications
106
1–5 of 106
Authors
439
- QL
3
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- AK
3
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- CH
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- AO
2
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1–5 of 439
Institutions
200
Chinese Academy of Sciences
Beijing, China
6 h-index
23 publications
675 citations
Indian Institute of Remote Sensing
Dehra Dūn, India
3 h-index
5 publications
130 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
3 h-index
7 publications
340 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
164 citations
Chinese Academy of Agricultural Sciences
Beijing, China
3 h-index
10 publications
301 citations
Indian Space Research Organisation
Bengaluru, India
3 h-index
8 publications
152 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
8 publications
248 citations
Johnson Space Center
Houston, United States
3 h-index
3 publications
66 citations
1–8 of 200
Venues
- Computers and Electronics in Agriculture
8 publications · 278 citations
8
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- Remote Sensing
8 publications · 273 citations
8
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- International Journal of Remote Sensing
7 publications · 186 citations
7
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- Journal of Applied Remote Sensing
JARS · 6 publications · 344 citations
6
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- Precision Agriculture
4 publications · 228 citations
4
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1–5