Regression-based Basal Area Estimation
Regression-Based Basal Area Estimation is a statistical modeling approach within remote sensing-based forest inventory that employs regression techniques to predict basal area from ancillary variables, distinguishing itself by leveraging empirical relationships between field-measured basal area and predictor variables derived from remote sensing data.
34
Publications
2.3K
Citations
93
Authors
46
Institutions
Publications per year
2017–2026
3
Parents
34
Gretchen G. Moisen, Jock A. Blackard, Tracey S. Frescino et al. · Ecological Modelling · 2006 · 280 citations
Natural Resources, Ecology, Forestry +16
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Rocky Mountain Research Station
Fort Collins, United States
4 h-index
7 publications
1K citations

US Forest Service
Washington, United States
3 h-index
8 publications
790 citations

University of Helsinki
Helsinki, Finland
3 h-index
8 publications
295 citations
Swiss Federal Institute for Forest, Snow and Landscape Research
Birmensdorf, Switzerland
2 h-index
4 publications
448 citations

Minnesota Department of Natural Resources
Saint Paul, United States
2 h-index
4 publications
96 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
2 h-index
3 publications
168 citations

University of Georgia
Athens, United States
2 h-index
2 publications
43 citations

University of Minnesota
Minneapolis, United States
2 h-index
4 publications
96 citations
1–8 of 46
11 publications · 417 citations
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3 publications · 504 citations
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2 publications · 70 citations
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2 publications · 142 citations
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1 publications · 88 citations
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