Remote Sensing Damage Detection
Remote Sensing Damage Detection is a methodological framework within forest insect impact assessment that utilizes remotely sensed data to identify, delineate, and quantify biotic disturbance-induced changes in forest canopy structure and physiological condition, distinguishing it from ground-based or non-spectral approaches by its reliance on airborne or satelliteborne sensor technologies.
277
Publications
12.6K
Citations
987
Authors
382
Institutions
Publications per year
2017–2026
108
277
Remote Detection of Forest Damage
B. N. Rock, James E. Vogelmann, Darrel L. Williams et al. · BioScience · 1986 · 383 citations
Natural Resources, Ecology, Forestry +17
1–5 of 277
987
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9
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8
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7
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7
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1–5 of 987
382
Canadian Forest Service
Ottawa, Canada
14 h-index
30 publications
2K citations

Beijing Forestry University
Beijing, China
10 h-index
52 publications
1.7K citations
Natural Resources Canada
Ottawa, Canada
10 h-index
21 publications
1.5K citations

University of KwaZulu-Natal
Durban, South Africa
10 h-index
25 publications
987 citations

University of British Columbia
Vancouver, Canada
8 h-index
16 publications
1.1K citations
Goddard Space Flight Center
Greenbelt, United States
7 h-index
12 publications
512 citations
Finnish Geospatial Research Institute
Espoo, Finland
6 h-index
31 publications
3.5K citations

University of Helsinki
Helsinki, Finland
6 h-index
17 publications
3K citations
1–8 of 382
34 publications · 2.2K citations
25
h-index
20 publications · 1K citations
17
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18 publications · 1.7K citations
17
h-index
JAG · 9 publications · 356 citations
9
h-index
9 publications · 290 citations
9
h-index
1–5