Object-based Forest Analysis
Object-Based Forest Analysis is a remote sensing interpretation method that segments multispectral imagery into meaningful image objects based on spectral, spatial, and contextual characteristics, distinguishing itself from pixel-based approaches by enabling hierarchical, object-level classification and measurement of forest structures.
186
Publications
10.5K
Citations
708
Authors
297
Institutions
Publications per year
2017–2026
96
Variants
Object-based Forest Image Analysis
186
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708
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297

University of Twente
Enschede, The Netherlands
5 h-index
14 publications
543 citations
Northeast Institute of Geography and Agroecology
Changchun, China
4 h-index
17 publications
2K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
17 publications
2K citations
Natural Resources Canada
Ottawa, Canada
4 h-index
11 publications
1.3K citations
Canadian Forest Service
Ottawa, Canada
4 h-index
11 publications
1.3K citations
The University of Tokyo
Tokyo, Japan
3 h-index
5 publications
185 citations

University of Canterbury
Christchurch, New Zealand
3 h-index
5 publications
203 citations
University of Maryland, College Park
College Park, United States
3 h-index
8 publications
1.8K citations
1–8 of 297
27 publications · 1.5K citations
20
h-index
11 publications · 446 citations
11
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10 publications · 764 citations
10
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10 publications · 1.9K citations
10
h-index
JAG · 9 publications · 423 citations
9
h-index
1–5