Articles | Volume 25, issue 12
https://doi.org/10.5194/nhess-25-4787-2025
https://doi.org/10.5194/nhess-25-4787-2025
Research article
 | 
01 Dec 2025
Research article |  | 01 Dec 2025

Mapping forest-covered landslides using Geographic Object-Based Image Analysis (GEOBIA), Jena region, Germany

Ikram Zangana, Rainer Bell, Lucian Drăguţ, Flavius Sîrbu, and Lothar Schrott

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Short summary
Mapping landslides is essential for understanding hazards and risk assessment. This study used a geographic object-based image analysis (GEOBIA) approach with high-resolution lidar data to map forest-covered historical landslides in Jena, Germany. Optimizing the moving-window size for lidar derivatives improved accuracy, detecting more landslides and reducing errors. This method showcases the potential of lidar-based approaches for global landslide inventory and hazard assessment.
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