Clear-cut Detection
Clear-Cut Detection is a remote sensing-based methodological framework within forest disturbance monitoring that specifically identifies areas of complete canopy removal over a defined spatial extent, distinguishing itself from partial disturbance detection by targeting abrupt, large-scale deforestation events characteristic of clear-cutting practices.
25
Publications
679
Citations
82
Authors
40
Institutions
Publications per year
2017–2026
6
Parents
25
Separation of Highlight Reflections on Textured Surfaces
P. Tan, Long Quan, Stephen Lin · 2006 · 53 citations
Clear-cut Detection in Boreal Forest Aided by Remote Sensing
Timo Saksa, Janne Uuttera, Taneli Kolström et al. · Scandinavian Journal of Forest Research · 2003 · 40 citations
1–5 of 25
82
Swedish University of Agricultural Sciences, Sweden
3 publications · 84 citations
3
h-index
2
h-index
Food and Agriculture Organization of the United Nations, Italy
2 publications · 51 citations
2
h-index
2
h-index
2
h-index
1–5 of 82
40

Swedish University of Agricultural Sciences
Uppsala, Sweden
3 h-index
7 publications
194 citations
Chalmers University of Technology
Gothenburg, Sweden
3 h-index
8 publications
204 citations

University of Molise
Campobasso, Italy
2 h-index
4 publications
150 citations
Institut National Polytechnique de Toulouse
Toulouse, France
2 h-index
3 publications
144 citations
Génétique Physiologie et Systèmes d'Elevage
Toulouse, France
2 h-index
1 publications
48 citations
Gamma Remote Sensing (Switzerland)
Gümligen, Switzerland
2 h-index
2 publications
58 citations

Università degli Studi della Tuscia
Viterbo, Italy
2 h-index
4 publications
150 citations

University of KwaZulu-Natal
Durban, South Africa
1 h-index
3 publications
48 citations
1–8 of 40
4 publications · 134 citations
4
h-index
1 publications · 29 citations
2
h-index
2 publications · 77 citations
2
h-index
Repository · 2 publications · 70 citations
2
h-index
1 publications · 40 citations
1
h-index
1–5