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

Viewed

Total article views: 3,257 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,835 1,259 163 3,257 100 189
  • HTML: 1,835
  • PDF: 1,259
  • XML: 163
  • Total: 3,257
  • BibTeX: 100
  • EndNote: 189
Views and downloads (calculated since 10 Apr 2017)
Cumulative views and downloads (calculated since 10 Apr 2017)

Viewed (geographical distribution)

Total article views: 3,257 (including HTML, PDF, and XML) Thereof 3,040 with geography defined and 217 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.
Altmetrics
Final-revised paper
Preprint