The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5015-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-5015-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
06 Nov 2024
Research article |  | 06 Nov 2024

Improved snow property retrievals by solving for topography in the inversion of at-sensor radiance measurements

Brenton A. Wilder, Joachim Meyer, Josh Enterkine, and Nancy F. Glenn

Viewed

Total article views: 565 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
427 94 44 565 18 18
  • HTML: 427
  • PDF: 94
  • XML: 44
  • Total: 565
  • BibTeX: 18
  • EndNote: 18
Views and downloads (calculated since 19 Jun 2024)
Cumulative views and downloads (calculated since 19 Jun 2024)

Viewed (geographical distribution)

Total article views: 565 (including HTML, PDF, and XML) Thereof 562 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Nov 2024
Download
Short summary
Remotely sensed properties of snow are dependent on accurate terrain information, which for a lot of the cryosphere and seasonal snow zones is often insufficient in accuracy. However, as we show in this paper, we can bypass this issue by optimally solving for the terrain by utilizing the raw radiance data returned to the sensor. This method performed well when compared to validation datasets and has the potential to be used across a variety of different snow climates.
Read more