Remote Sensing-based Inventory
Remote Sensing-Based Inventory is a forest inventory method that employs remotely sensed data to estimate forest attributes over large areas, distinguishing itself from ground-based or traditional inventory techniques by relying on aerial or satellite sensor observations for stand characterization.
106
Publications
6.6K
Citations
324
Authors
134
Institutions
Publications per year
2017–2026
34
106
Inventory of Small Forest Areas Using an Unmanned Aerial System
Stefano Puliti, Hans Ole Ørka, Terje Gobakken et al. · Remote Sensing · 2015 · 350 citations · Full text
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324
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134

Swedish University of Agricultural Sciences
Uppsala, Sweden
9 h-index
27 publications
2.6K citations
Northern Research Station
Madison, United States
9 h-index
18 publications
1.7K citations

US Forest Service
Washington, United States
8 h-index
12 publications
433 citations

Norwegian University of Life Sciences
Ås, Norway
8 h-index
18 publications
2.8K citations

University of Eastern Finland
Joensuu, Finland
7 h-index
13 publications
973 citations
Canadian Forest Service
Ottawa, Canada
7 h-index
16 publications
758 citations
Natural Resources Canada
Ottawa, Canada
6 h-index
15 publications
654 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
28 publications
1K citations
1–8 of 134
9 publications · 1.2K citations
9
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JAG · 8 publications · 222 citations
8
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6 publications · 180 citations
6
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6 publications · 580 citations
6
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6 publications · 245 citations
6
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1–5