The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5337-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-5337-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
04 Nov 2025
Research article |  | 04 Nov 2025

IceAnatomy: a benchmark dataset and methodology for automatic ice boundary extraction from radio-echo sounding data

Marcel Dreier, Moritz Koch, Nora Gourmelon, Norbert Blindow, Daniel Steinhage, Fei Wu, Thorsten Seehaus, Matthias Braun, Andreas Maier, and Vincent Christlein

Viewed

Total article views: 5,675 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,240 1,239 196 5,675 174 213
  • HTML: 4,240
  • PDF: 1,239
  • XML: 196
  • Total: 5,675
  • BibTeX: 174
  • EndNote: 213
Views and downloads (calculated since 20 Jan 2025)
Cumulative views and downloads (calculated since 20 Jan 2025)

Viewed (geographical distribution)

Total article views: 5,675 (including HTML, PDF, and XML) Thereof 5,485 with geography defined and 190 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 14 Aug 2026
Download
Short summary
In this paper, we present a ready-to-use benchmark dataset to train machine learning approaches for detecting ice thickness from radar data. It includes radargrams of glaciers and ice sheets alongside annotations for their air–ice and ice–bedrock boundary. Furthermore, we introduce a baseline model and evaluate the influence of several geographical and glaciological factors on the performance of our model.
Read more
Share