Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2461-2026
https://doi.org/10.5194/nhess-26-2461-2026
Research article
 | 
01 Jun 2026
Research article |  | 01 Jun 2026

Predicting the risk of individual tree fall along powerlines in Norway with a mechanistic wind risk model and machine learning

Morgane Merlin, Barry Gardiner, and Svein Solberg

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Short summary
Tree falls along power lines cause safety, cost, and environmental issues. Drones can map individual trees to improve risk management. We applied the ForestGALES wind-risk model to individual trees along power lines in southern Norway. It performed moderately alone but combining it with machine learning greatly improved accuracy, offering managers precise guidance for safer vegetation management.
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