Image-based Biomass Estimation
Image-Based Biomass Estimation is a computational method that belongs to the class of remote sensing techniques and is distinguished by its use of optical, multispectral, or hyperspectral imagery to quantitatively predict forage biomass through image-derived vegetation indices, texture features, or machine learning models.
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Publications
19.5K
Citations
1.4K
Authors
527
Institutions
Publications per year
2017–2026
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310
Onisimo Mutanga, Elhadi Adam, Moses Azong Cho · International Journal of Applied Earth Observation and Geoinformation · 2012 · 860 citations
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National Engineering Research Center for Information Technology in Agriculture, China
7 publications · 841 citations
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National Engineering Research Center for Information Technology in Agriculture, China
7 publications · 947 citations
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National Engineering Research Center for Information Technology in Agriculture, China
6 publications · 813 citations
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Chinese Academy of Sciences
Beijing, China
18 h-index
75 publications
2.5K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
38 publications
1.2K citations
Chinese Academy of Agricultural Sciences
Beijing, China
12 h-index
47 publications
4.1K citations
Chinese Academy of Forestry
Beijing, China
11 h-index
33 publications
850 citations
China Agricultural University
Beijing, China
11 h-index
22 publications
1.8K citations
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
8 h-index
43 publications
4.7K citations
Southwest Forestry University
Kunming, China
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32 publications
1.7K citations

University of KwaZulu-Natal
Durban, South Africa
7 h-index
20 publications
3.7K citations
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34 publications · 1.8K citations
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17 publications · 2.5K citations
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15 publications · 873 citations
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JAG · 13 publications · 1.9K citations
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