Articles | Volume 17, issue 4
https://doi.org/10.5194/tc-17-1457-2023
https://doi.org/10.5194/tc-17-1457-2023
Research article
 | 
05 Apr 2023
Research article |  | 05 Apr 2023

Snowmelt characterization from optical and synthetic-aperture radar observations in the La Joie Basin, British Columbia

Sara E. Darychuk, Joseph M. Shea, Brian Menounos, Anna Chesnokova, Georg Jost, and Frank Weber

Viewed

Total article views: 2,893 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,023 782 88 2,893 262 109 191
  • HTML: 2,023
  • PDF: 782
  • XML: 88
  • Total: 2,893
  • Supplement: 262
  • BibTeX: 109
  • EndNote: 191
Views and downloads (calculated since 23 May 2022)
Cumulative views and downloads (calculated since 23 May 2022)

Viewed (geographical distribution)

Total article views: 2,893 (including HTML, PDF, and XML) Thereof 2,820 with geography defined and 73 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Feb 2026
Download
Short summary
We use synthetic-aperture radar (SAR) and optical observations to map snowmelt timing and duration on the watershed scale. We found that Sentinel-1 SAR time series can be used to approximate snowmelt onset over diverse terrain and land cover types, and we present a low-cost workflow for SAR processing over large, mountainous regions. Our approach provides spatially distributed observations of the snowpack necessary for model calibration and can be used to monitor snowmelt in ungauged basins.
Share