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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, Jörgen

Abstract

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 fire

Published in

Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning
2022, number: 539
Publisher: Department of Forest Resource Management, Swedish University of Agricultural Sciences