The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/tc-18-3807-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3807-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Research article
 | 
23 Aug 2024
Research article |  | 23 Aug 2024

Interactive snow avalanche segmentation from webcam imagery: results, potential, and limitations

Elisabeth D. Hafner, Theodora Kontogianni, Rodrigo Caye Daudt, Lucien Oberson, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler

Viewed

Total article views: 4,568 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,899 1,539 130 4,568 155 239
  • HTML: 2,899
  • PDF: 1,539
  • XML: 130
  • Total: 4,568
  • BibTeX: 155
  • EndNote: 239
Views and downloads (calculated since 19 Mar 2024)
Cumulative views and downloads (calculated since 19 Mar 2024)

Viewed (geographical distribution)

Total article views: 4,568 (including HTML, PDF, and XML) Thereof 4,472 with geography defined and 96 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 May 2026
Download
Short summary
For many safety-related applications such as road management, well-documented avalanches are important. To enlarge the information, webcams may be used. We propose supporting the mapping of avalanches from webcams with a machine learning model that interactively works together with the human. Relying on that model, there is a 90% saving of time compared to the "traditional" mapping. This gives a better base for safety-critical decisions and planning in avalanche-prone mountain regions.
Read more
Share