Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 1
Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-411-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-411-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 1
Research article
 | 
22 Jan 2026
Research article |  | 22 Jan 2026

Autonomous and efficient large-scale snow avalanche monitoring with an Unmanned Aerial System (UAS)

Jaeyoung Lim, Elisabeth Hafner-Aeschbacher, Florian Achermann, Rik Girod, David Rohr, Nicholas Lawrance, Yves Bühler, and Roland Siegwart

Viewed

Total article views: 2,184 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,432 413 339 2,184 13 47 61
  • HTML: 1,432
  • PDF: 413
  • XML: 339
  • Total: 2,184
  • Supplement: 13
  • BibTeX: 47
  • EndNote: 61
Views and downloads (calculated since 10 Oct 2024)
Cumulative views and downloads (calculated since 10 Oct 2024)

Viewed (geographical distribution)

Total article views: 2,184 (including HTML, PDF, and XML) Thereof 2,184 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Feb 2026
Download
Short summary
As avalanches occur in remote and potentially dangerous locations, data relevant to avalanche monitoring is difficult to obtain. Uncrewed fixed-wing aerial vehicles are promising platforms for gathering aerial imagery to map avalanche activity over a large area. In this work, we present an unmanned aerial system (UAS) capable of autonomously navigating and mapping avalanches in steep mountainous terrain. We expect our work to enable efficient large-scale autonomous avalanche monitoring.
Read more
Share
Altmetrics
Final-revised paper
Preprint