Articles | Volume 16, issue 9
https://doi.org/10.5194/tc-16-3517-2022
https://doi.org/10.5194/tc-16-3517-2022
Research article
 | 
02 Sep 2022
Research article |  | 02 Sep 2022

Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations

Elisabeth D. Hafner, Patrick Barton, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler

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Latest update: 20 Jul 2024
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Short summary
Knowing where avalanches occur is very important information for several disciplines, for example avalanche warning, hazard zonation and risk management. Satellite imagery can provide such data systematically over large regions. In our work we propose a machine learning model to automate the time-consuming manual mapping. Additionally, we investigate expert agreement for manual avalanche mapping, showing that our network is equally as good as the experts in identifying avalanches.