Articles | Volume 26, issue 6
https://doi.org/10.5194/nhess-26-2785-2026
https://doi.org/10.5194/nhess-26-2785-2026
Research article
 | 
12 Jun 2026
Research article |  | 12 Jun 2026

Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA

Franziska Müller, Laura Eifler, Felix Cremer, Pieter Beck, Gustau Camps-Valls, and Ana Bastos

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Latest update: 12 Jun 2026
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Short summary
Forest health is increasingly threatened, but disturbances like wind damage and insect outbreaks are hard to track. Our Sentinel-1 Disturbance Mapping (S1DM) approach combines satellite radar with survey data, improving detection for wind and bark beetle impacts and often spotting them earlier. Defoliators remain difficult to capture, but this method strengthens monitoring and supports better forest management.
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