Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-2925-2020
https://doi.org/10.5194/tc-14-2925-2020
Research article
 | 
10 Sep 2020
Research article |  | 10 Sep 2020

Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data

César Deschamps-Berger, Simon Gascoin, Etienne Berthier, Jeffrey Deems, Ethan Gutmann, Amaury Dehecq, David Shean, and Marie Dumont

Viewed

Total article views: 4,360 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,953 1,313 94 4,360 158 92 96
  • HTML: 2,953
  • PDF: 1,313
  • XML: 94
  • Total: 4,360
  • Supplement: 158
  • BibTeX: 92
  • EndNote: 96
Views and downloads (calculated since 04 Feb 2020)
Cumulative views and downloads (calculated since 04 Feb 2020)

Viewed (geographical distribution)

Total article views: 4,360 (including HTML, PDF, and XML) Thereof 3,702 with geography defined and 658 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
We evaluate a recent method to map snow depth based on satellite photogrammetry. We compare it with accurate airborne laser-scanning measurements in the Sierra Nevada, USA. We find that satellite data capture the relationship between snow depth and elevation at the catchment scale and also small-scale features like snow drifts and avalanche deposits. We conclude that satellite photogrammetry stands out as a convenient method to estimate the spatial distribution of snow depth in high mountains.