Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing
Permanent lenke
https://hdl.handle.net/10037/35440Dato
2024-10-09Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Östersund, Madeleine Cecilia; Honkavaara, Eija; Oliveira, Raquel A.; Näsi, Roope; Hakala, Teemu; Koivumäki, Niko; Pelto-Arvo, Mikko; Tuviala, Johanna; Nevalainen, Olli; Lyytikäinen-Saarenmaa, PäiviSammendrag
Uncrewed Aerial Systems (UAS) offer a versatile solution for monitoring forest ecosystems. This study aimed to develop and
assess an individual tree-based methodology using multi-temporal, multispectral UAS images to track changes caused by the
European spruce bark beetle (Ips typographus L.). The approach encompassed four key steps: (1) individual tree detection
using structure-from-motion point clouds, (2) tree species classification, (3) health classification of spruce trees as healthy,
declined, or dead, and (4) change detection, identifying fallen/removed trees and alterations in tree health status. The developed methodology was employed to quantify changes in a bark beetle outbreak area covering 215 hectares in southeastern
Finland during 2019–2021. The dataset included two managed and two conserved forest areas. The uncertainty estimation
demonstrated the overall accuracies ranging from 0.58 to 0.91 for individual tree detection, 0.84 for species classification,
and 0.83–0.96 for health classification, and a F1-score of 0.91 for the fallen or removed tree detection. Maps and statistics
were produced, containing information on the health of the spruce trees in the area and information on changes, including
trees that died during monitoring and those that fell or were removed from the forest. The results demonstrated successful
control of the outbreak in the managed stands, evidenced by moderate tree mortality. Conversely, in the conserved stands,
the outbreak resulted in dramatic tree mortality. This method serves stakeholders by enabling large-scale outbreak impact
monitoring, facilitating timely risk assessment, and validating bark beetle outbreak management strategies.
Forlag
Springer NatureSitering
Östersund, Honkavaara, Oliveira, Näsi, Hakala, Koivumäki, Pelto-Arvo, Tuviala, Nevalainen, Lyytikäinen-Saarenmaa. Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing. European Journal of Forest Research. 2024Metadata
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