The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/tc-19-37-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-37-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Research article
 | 
08 Jan 2025
Research article |  | 08 Jan 2025

Machine learning of Antarctic firn density by combining radiometer and scatterometer remote-sensing data

Weiran Li, Sanne B. M. Veldhuijsen, and Stef Lhermitte

Viewed

Total article views: 2,098 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,744 302 52 2,098 67 109
  • HTML: 1,744
  • PDF: 302
  • XML: 52
  • Total: 2,098
  • BibTeX: 67
  • EndNote: 109
Views and downloads (calculated since 24 Jul 2023)
Cumulative views and downloads (calculated since 24 Jul 2023)

Viewed (geographical distribution)

Total article views: 2,098 (including HTML, PDF, and XML) Thereof 2,023 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Nov 2025
Download
Short summary
This study used a machine learning approach to estimate the densities over the Antarctic Ice Sheet, particularly in the areas where the snow is usually dry. The motivation is to establish a link between satellite parameters to snow densities, as measurements are difficult for people to take on site. It provides valuable insights into the complexities of the relationship between satellite parameters and firn density and provides potential for further studies.
Read more
Share