Stand Attribute Estimation
Stand Attribute Estimation is the process of deriving quantitative forest stand characteristics, such as biomass, height, density, or species composition, from remotely sensed data through statistical or machine learning models, distinguished from broader land cover classification by its focus on measuring specific biophysical and structural properties of forest stands at a defined spatial scale.
89
Publications
6.9K
Citations
286
Authors
153
Institutions
Publications per year
2017–2026
24
89
1–5 of 89
286
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153

University of Helsinki
Helsinki, Finland
7 h-index
10 publications
764 citations

University of Eastern Finland
Joensuu, Finland
7 h-index
17 publications
570 citations
Natural Resources Canada
Ottawa, Canada
6 h-index
11 publications
1.2K citations
Canadian Forest Service
Ottawa, Canada
5 h-index
9 publications
1.2K citations
Joensuu Science Park
Joensuu, Finland
4 h-index
13 publications
633 citations
Rocky Mountain Research Station
Fort Collins, United States
4 h-index
9 publications
278 citations
Pacific Northwest Research Station
Portland, United States
4 h-index
7 publications
915 citations

University of British Columbia
Vancouver, Canada
4 h-index
8 publications
380 citations
1–8 of 153
11 publications · 1.2K citations
11
h-index
10 publications · 3K citations
10
h-index
9 publications · 563 citations
9
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7 publications · 488 citations
7
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6 publications · 210 citations
6
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1–5