Pixel-based Disturbance Detection
Pixel-Based Disturbance Detection is a remote sensing image analysis method that identifies temporal changes in forest cover by examining spectral reflectance variations at the individual pixel level over time, distinguishing itself from object- or scene-based approaches through its reliance on pixel-wise computational operations for detecting disturbances.
20
Publications
1.9K
Citations
85
Authors
39
Institutions
Publications per year
2017–2026
12
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Natural Resources Canada
Ottawa, Canada
4 h-index
9 publications
571 citations
Canadian Forest Service
Ottawa, Canada
3 h-index
5 publications
399 citations

University of British Columbia
Vancouver, Canada
2 h-index
6 publications
900 citations
Forests and Societies
Montpellier, France
2 h-index
3 publications
89 citations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Paris, France
2 h-index
3 publications
89 citations

China University of Geosciences (Beijing)
Beijing, China
2 h-index
8 publications
116 citations
Humboldt-Universität zu Berlin
Berlin, Germany
2 h-index
6 publications
834 citations

Beijing Normal University
Beijing, China
2 h-index
7 publications
96 citations
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JAG · 5 publications · 428 citations
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4 publications · 315 citations
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3 publications · 660 citations
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1 publications · 17 citations
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1 publications · 12 citations
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