Articles | Volume 17, issue 10
Nat. Hazards Earth Syst. Sci., 17, 1823–1836, 2017
https://doi.org/10.5194/nhess-17-1823-2017
Nat. Hazards Earth Syst. Sci., 17, 1823–1836, 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 et al.

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ED: Publish as is (24 Aug 2017) by Rosa Lasaponara
AR by Karolina Korzeniowska on behalf of the Authors (30 Aug 2017)  Author's response    Manuscript
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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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