Storm Damage Detection
Storm Damage Detection is a methodological framework within forest disturbance detection that specifically identifies and quantifies tree damage caused by severe weather events, particularly storms, using remote sensing data and temporal change analysis to distinguish storm-induced impacts from other types of forest disturbances.
72
Publications
3K
Citations
265
Authors
117
Institutions
Publications per year
2017–2026
20
Parents
72
Elfatih M. Abdel‐Rahman, Onisimo Mutanga, Elhadi Adam et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2013 · 170 citations
Recorded storm damage in Swedish forests 1901–2000
Carin Nilsson, Ingrid Stjernquist, Lars Bärring et al. · Forest Ecology and Management · 2004 · 130 citations
Forest storm damage is more frequent on acidic soils
Philipp Mayer, Peter Brang, Matthias Dobbertin et al. · Annals of Forest Science · 2005 · 100 citations · Full text
Agriculture, Forestry, Soil Sciences +13
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NOAA National Weather Service
Silver Spring, United States
4 h-index
5 publications
117 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
3 h-index
7 publications
213 citations
Marshall Space Flight Center
Redstone Arsenal, United States
3 h-index
7 publications
220 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
5 publications
145 citations

University of Freiburg
Freiburg im Breisgau, Germany
3 h-index
6 publications
180 citations

Lund University
Lund, Sweden
3 h-index
7 publications
421 citations

Swedish Board of Agriculture
Jönköping, Sweden
2 h-index
2 publications
144 citations
Swedish Defence Research Agency
Stockholm, Sweden
2 h-index
4 publications
140 citations
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5 publications · 145 citations
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4 publications · 388 citations
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4 publications · 192 citations
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3 publications · 163 citations
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BAMS · 3 publications · 122 citations
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