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Nat. Hazards Earth Syst. Sci., 17, 1823-1836, 2017
https://doi.org/10.5194/nhess-17-1823-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of the manuscript by K. Korzeniowska et al.', Anonymous Referee #1, 24 May 2017 Printer-friendly Version 
AC1: 'Response to reviewer comments', Karolina Korzeniowska, 10 Aug 2017 Printer-friendly Version Supplement 
 
RC2: 'Review nhess-2017-120', Olivier Jaquet, 08 Aug 2017 Printer-friendly Version 
AC2: 'Response to reviewer comments', Karolina Korzeniowska, 10 Aug 2017 Printer-friendly Version Supplement 
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
CC BY 4.0
Publications Copernicus
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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.
In this study, we have focused on automatically detecting avalanches and classifying them into...
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