Articles | Volume 17, issue 10
Nat. Hazards Earth Syst. Sci., 17, 1823–1836, 2017
Nat. Hazards Earth Syst. Sci., 17, 1823–1836, 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.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
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
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.
Final-revised paper