Canopy Loss Detection
Canopy Loss Detection is a remote sensing methodology that identifies temporal reductions in vegetative canopy cover by analyzing spectral, spatial, and temporal anomalies in satellite imagery to distinguish disturbed forest areas from stable or naturally fluctuating conditions.
36
Publications
1.8K
Citations
156
Authors
95
Institutions
Publications per year
2017–2026
15
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1–5 of 36
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Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France
1 publications · 17 citations
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95

Swedish University of Agricultural Sciences
Uppsala, Sweden
2 h-index
2 publications
38 citations
University College London
London, United Kingdom
2 h-index
3 publications
74 citations

University of Exeter
Exeter, United Kingdom
2 h-index
2 publications
76 citations
Conservation International
Arlington, United States
2 h-index
3 publications
273 citations
Universidade de Brasília
Brasília, Brazil
1 h-index
1 publications
23 citations
Dartmouth College
Hanover, United States
1 h-index
1 publications
11 citations

Tulane University
New Orleans, United States
1 h-index
3 publications
228 citations
Jet Propulsion Laboratory
Pasadena, United States
1 h-index
1 publications
113 citations
1–8 of 95
4 publications · 243 citations
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2 publications · 493 citations
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2 publications · 84 citations
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2 publications · 139 citations
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2 publications · 54 citations
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