Multispectral Biomass Estimation
Multispectral Biomass Estimation is a remote sensing methodology that quantifies vegetation biomass by analyzing reflectance data from multiple discrete spectral bands, distinguishing itself through the integration of specific wavelength-dependent vegetation indices to enhance accuracy in forage and plant biomass assessment.
114
Publications
7.1K
Citations
537
Authors
235
Institutions
Publications per year
2017–2026
68
114
Angela Kross, Heather McNairn, David R. Lapen et al. · International Journal of Applied Earth Observation and Geoinformation · 2014 · 438 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
Stuart Phinn, Chris Roelfsema, Arnold G. Dekker et al. · Remote Sensing of Environment · 2008 · 331 citations
Timothy Dube, Onisimo Mutanga · ISPRS Journal of Photogrammetry and Remote Sensing · 2014 · 279 citations
Natural Sciences, Ecology, Geography +17
Sylvain Jay, Frédéric Baret, Dan Dutartre et al. · Remote Sensing of Environment · 2018 · 221 citations
Niko Viljanen, Eija Honkavaara, Roope Näsi et al. · Agriculture · 2018 · 192 citations · Full text
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235

University of KwaZulu-Natal
Durban, South Africa
5 h-index
12 publications
1.2K citations
Agriculture and Agri-Food Canada
Ottawa, Canada
4 h-index
16 publications
3.6K citations
University of Wisconsin–Madison
Madison, United States
4 h-index
6 publications
299 citations
Wuhan University
Wuhan, China
4 h-index
6 publications
450 citations

University of Eastern Finland
Joensuu, Finland
3 h-index
10 publications
236 citations
China Agricultural University
Beijing, China
3 h-index
16 publications
1.3K citations
Texas A&M University
College Station, United States
3 h-index
5 publications
304 citations
Anhui Science and Technology University
Chuzhou, China
2 h-index
14 publications
476 citations
1–8 of 235
18 publications · 752 citations
17
h-index
9 publications · 996 citations
9
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JAG · 9 publications · 1K citations
9
h-index
5 publications · 295 citations
5
h-index
5 publications · 425 citations
5
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1–5