Satellite-Based Forest Inventory is a remote sensing method that systematically acquires, processes, and interprets multispectral or radar satellite imagery to quantify and monitor forest attributes such as biomass, canopy cover, species composition, and land use change at landscape to regional scales.
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Current status of Landsat program, science, and applications
Michael A. Wulder, Thomas R. Loveland, David P. Roy et al. · Remote Sensing of Environment · 2019 · 1.1K citations · Full text
Relating forest biomass to SAR data
Thuy Le Toan, Amélie Beaudoin, J. Riom et al. · IEEE Transactions on Geoscience and Remote Sensing · 1992 · 818 citations
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University of Maryland, College Park
College Park, United States
28 h-index
60 publications
11.2K citations
Joint Research Centre
Ispra, Italy
27 h-index
75 publications
6K citations
Jet Propulsion Laboratory
Pasadena, United States
27 h-index
41 publications
4.8K citations
Swedish University of Agricultural Sciences
Uppsala, Sweden
26 h-index
80 publications
6.5K citations
Natural Resources Canada
Ottawa, Canada
26 h-index
96 publications
8.9K citations
US Forest Service
Washington, United States
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49 publications
4.7K citations
Canadian Forest Service
Ottawa, Canada
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90 publications
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Chinese Academy of Sciences
Beijing, China
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139 publications
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- Remote Sensing of Environment
140 publications · 18.7K citations
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- Remote Sensing
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- International Journal of Remote Sensing
97 publications · 5.2K citations
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- International Journal of Applied Earth Observation and Geoinformation
JAG · 50 publications · 2.5K citations
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- Forests
43 publications · 1.6K citations
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