Articles | Volume 18, issue 8
https://doi.org/10.5194/tc-18-3807-2024
https://doi.org/10.5194/tc-18-3807-2024
Research article
 | 
23 Aug 2024
Research article |  | 23 Aug 2024

Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations

Elisabeth D. Hafner, Theodora Kontogianni, Rodrigo Caye Daudt, Lucien Oberson, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler

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Short summary
For many safety-related applications such as road management, well-documented avalanches are important. To enlarge the information, webcams may be used. We propose supporting the mapping of avalanches from webcams with a machine learning model that interactively works together with the human. Relying on that model, there is a 90% saving of time compared to the "traditional" mapping. This gives a better base for safety-critical decisions and planning in avalanche-prone mountain regions.