The Cryosphere
The Cryosphere
TC
Articles | Volume 12, issue 11
Articles | Volume 12, issue 11
https://doi.org/10.5194/tc-12-3535-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-3535-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 11
Research article
 | 
13 Nov 2018
Research article |  | 13 Nov 2018

Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using structure from motion applied to lightweight unmanned aerial vehicle videos

Richard Fernandes, Christian Prevost, Francis Canisius, Sylvain G. Leblanc, Matt Maloley, Sarah Oakes, Kiyomi Holman, and Anders Knudby

Viewed

Total article views: 4,228 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,729 1,350 149 4,228 590 128 179
  • HTML: 2,729
  • PDF: 1,350
  • XML: 149
  • Total: 4,228
  • Supplement: 590
  • BibTeX: 128
  • EndNote: 179
Views and downloads (calculated since 15 May 2018)
Cumulative views and downloads (calculated since 15 May 2018)

Viewed (geographical distribution)

Total article views: 4,228 (including HTML, PDF, and XML) Thereof 3,899 with geography defined and 329 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
The use of lightweight UAV-based surveys of surface elevation to map snow depth and weekly snow depth change was evaluated over five study areas spanning a range of topography and vegetation cover. Snow depth was estimated with an accuracy of better than 10 cm in the vertical and 3 cm in the horizontal. Vegetation in the snow-free elevation map was a major source of error. As a result, the snow depth change between two dates with snow cover was estimated with an accuracy of better than 4 cm.
Read more
Share