Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3277-2024
https://doi.org/10.5194/tc-18-3277-2024
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: 548 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
367 142 39 548 22 22
  • HTML: 367
  • PDF: 142
  • XML: 39
  • Total: 548
  • BibTeX: 22
  • EndNote: 22
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 548 (including HTML, PDF, and XML) Thereof 537 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Jul 2024
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.