The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
Research article
 | 
23 Jul 2024
Research article |  | 23 Jul 2024

Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar

Phillip Harder, Warren D. Helgason, and John W. Pomeroy

Viewed

Total article views: 3,126 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,174 816 136 3,126 138 241
  • HTML: 2,174
  • PDF: 816
  • XML: 136
  • Total: 3,126
  • BibTeX: 138
  • EndNote: 241
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 3,126 (including HTML, PDF, and XML) Thereof 3,063 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 04 May 2026
Download
Short summary
Remote sensing the amount of water in snow (SWE) at high spatial resolutions is an unresolved challenge. In this work, we tested a drone-mounted passive gamma spectrometer to quantify SWE. We found that the gamma observations could resolve the average and spatial variability of SWE down to 22.5 m resolutions. Further, by combining drone gamma SWE and lidar snow depth we could estimate SWE at sub-metre resolutions which is a new opportunity to improve the measurement of shallow snowpacks.
Read more
Share