Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2779-2023
https://doi.org/10.5194/tc-17-2779-2023
Research article
 | 
13 Jul 2023
Research article |  | 13 Jul 2023

Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data

César Deschamps-Berger, Simon Gascoin, David Shean, Hannah Besso, Ambroise Guiot, and Juan Ignacio López-Moreno

Viewed

Total article views: 2,656 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,899 678 79 2,656 173 61 68
  • HTML: 1,899
  • PDF: 678
  • XML: 79
  • Total: 2,656
  • Supplement: 173
  • BibTeX: 61
  • EndNote: 68
Views and downloads (calculated since 04 Oct 2022)
Cumulative views and downloads (calculated since 04 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,656 (including HTML, PDF, and XML) Thereof 2,573 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
The estimation of the snow depth in mountains is hard, despite the importance of the snowpack for human societies and ecosystems. We measured the snow depth in mountains by comparing the elevation of points measured with snow from the high-precision altimetric satellite ICESat-2 to the elevation without snow from various sources. Snow depths derived only from ICESat-2 were too sparse, but using external airborne/satellite products results in spatially richer and sufficiently precise snow depths.