Solid Earth
Solid Earth
SE
Articles | Volume 16, issue 11
Articles | Volume 16, issue 11
https://doi.org/10.5194/se-16-1401-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-16-1401-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 11
Research article
 | 
13 Nov 2025
Research article |  | 13 Nov 2025

Application of Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data – an example for the Wilkes and Aurora Subglacial Basin region, East Antarctica

Jonas Liebsch, Jörg Ebbing, and Kenichi Matsuoka

Viewed

Total article views: 861 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
670 162 29 861 28 34
  • HTML: 670
  • PDF: 162
  • XML: 29
  • Total: 861
  • BibTeX: 28
  • EndNote: 34
Views and downloads (calculated since 12 May 2025)
Cumulative views and downloads (calculated since 12 May 2025)

Viewed (geographical distribution)

Total article views: 861 (including HTML, PDF, and XML) Thereof 861 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Nov 2025
Download
Short summary
The evolution of the Antarctic ice sheets depends, in addition to factors representing the warming climate, on the earth structure beneath the ice. What’s beneath the ice is largely inaccessible for direct sampling, but can be interpreted with the use of airborne measurements. We apply an unsupervised machine learning method to such data in East Antarctica to test whether this can ease interpretation and hence our understanding of what rocks types are beneath the ice.
Read more
Share