The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/tc-18-3857-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3857-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Research article
 | 
28 Aug 2024
Research article |  | 28 Aug 2024

Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment

Benoit Montpetit, Joshua King, Julien Meloche, Chris Derksen, Paul Siqueira, J. Max Adam, Peter Toose, Mike Brady, Anna Wendleder, Vincent Vionnet, and Nicolas R. Leroux

Viewed

Total article views: 4,581 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,385 1,075 121 4,581 193 215
  • HTML: 3,385
  • PDF: 1,075
  • XML: 121
  • Total: 4,581
  • BibTeX: 193
  • EndNote: 215
Views and downloads (calculated since 12 Mar 2024)
Cumulative views and downloads (calculated since 12 Mar 2024)

Viewed (geographical distribution)

Total article views: 4,581 (including HTML, PDF, and XML) Thereof 4,521 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 May 2026
Download
Short summary
This paper validates the use of free open-source models to link distributed snow measurements to radar measurements in the Canadian Arctic. Using multiple radar sensors, we can decouple the soil from the snow contribution. We then retrieve the "microwave snow grain size" to characterize the interaction between the snow mass and the radar signal. This work supports future satellite mission development to retrieve snow mass information such as the future Canadian Terrestrial Snow Mass Mission.
Read more
Share