Articles | Volume 17, issue 10
https://doi.org/10.5194/nhess-17-1823-2017
https://doi.org/10.5194/nhess-17-1823-2017
Research article
 | 
23 Oct 2017
Research article |  | 23 Oct 2017

Regional snow-avalanche detection using object-based image analysis of near-infrared aerial imagery

Karolina Korzeniowska, Yves Bühler, Mauro Marty, and Oliver Korup

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Latest update: 16 Sep 2025
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Short summary
In this study, we have focused on automatically detecting avalanches and classifying them into release zones, tracks, and run-out zones based on aerial imagery using an object-based image analysis (OBIA) approach. We compared the results with manually mapped avalanche polygons, and obtained a user’s accuracy of > 0.9 and a Cohen’s kappa of 0.79–0.85. Testing the method for a larger area of 226.3 km2, we estimated producer’s and user’s accuracies of 0.61 and 0.78, respectively.
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