Forest Inventory Mapping
Forest Inventory Mapping is a geospatial methodology that systematically characterizes and delineates forest attributes—such as tree density, biomass, and canopy height—over large areas by integrating LiDAR-derived point cloud data with statistical or machine learning models to produce spatially explicit representations of forest structure and composition.
1.1K
Publications
69.6K
Citations
4.1K
Authors
1.2K
Institutions
Publications per year
2017–2026
543
1.1K
Mapping tree density at a global scale
Thomas W. Crowther, Henry B. Glick, Kristofer Covey et al. · Nature · 2015 · 985 citations · Full text
Natural Resources, Ecology, Forestry +14
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1.2K
Canadian Forest Service
Ottawa, Canada
36 h-index
180 publications
15.3K citations
Natural Resources Canada
Ottawa, Canada
36 h-index
192 publications
17.5K citations

US Forest Service
Washington, United States
36 h-index
133 publications
7.1K citations
University of Maryland, College Park
College Park, United States
30 h-index
94 publications
7.1K citations

Norwegian University of Life Sciences
Ås, Norway
29 h-index
84 publications
8.3K citations
Finnish Geospatial Research Institute
Espoo, Finland
29 h-index
173 publications
22.9K citations
Northern Research Station
Madison, United States
27 h-index
75 publications
4.7K citations

Chinese Academy of Sciences
Beijing, China
27 h-index
159 publications
8.9K citations
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105 publications · 11.6K citations
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138 publications · 7.1K citations
49
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52 publications · 3K citations
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JAG · 51 publications · 2.5K citations
30
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44 publications · 2.6K citations
24
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