The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-451-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-451-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Research article
 | 
31 Jan 2024
Research article |  | 31 Jan 2024

Passive microwave remote-sensing-based high-resolution snow depth mapping for Western Himalayan zones using multifactor modeling approach

Dhiraj Kumar Singh, Srinivasarao Tanniru, Kamal Kant Singh, Harendra Singh Negi, and RAAJ Ramsankaran

Viewed

Total article views: 2,664 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,872 713 79 2,664 104 146
  • HTML: 1,872
  • PDF: 713
  • XML: 79
  • Total: 2,664
  • BibTeX: 104
  • EndNote: 146
Views and downloads (calculated since 16 Jun 2023)
Cumulative views and downloads (calculated since 16 Jun 2023)

Viewed (geographical distribution)

Total article views: 2,664 (including HTML, PDF, and XML) Thereof 2,591 with geography defined and 73 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
Short summary
In situ techniques for snow depth (SD) measurement are not adequate to represent the spatiotemporal variability in SD in the Western Himalayan region. Therefore, this study focuses on the high-resolution mapping of daily snow depth in the Indian Western Himalayan region using passive microwave remote-sensing-based algorithms. Overall, the proposed multifactor SD models demonstrated substantial improvement compared to the operational products. However, there is a scope for further improvement.
Read more
Share