Report, 2022
Potential of mapping forest damage from remotely sensed data
Lindberg, Eva; Bohlin, Inka; Bohlin, Jonas; Fransson, Johan; Huo, Langning; Nilsson, Mats; Persson, Henrik; Wallerman, JörgenAbstract
Remote sensing is an efficient tool for mapping, monitoring, and assessing forest damage and the risk of damage. This report presents ongoing research on those topics with preliminary results as well as research planned by the Department of Forest Resource Management, SLU in Umeå, in the near future. The damage types include spruce bark beetle attacks, storm damage, and forest fire. The report also outlines proposed continued research in the area and possible collaborations within and outside SLU.
Keywords
forest damage; remote sensing; spruce bark beetle attacks; storm damage; forest firePublished in
Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning2022, number: 539
Publisher: Department of Forest Resource Management, Swedish University of Agricultural Sciences
Authors' information
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Fransson, Johan
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Fransson, Johan
Linnaeus University
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
UKÄ Subject classification
Remote Sensing
Forest Science
URI (permanent link to this page)
https://res.slu.se/id/publ/121176