The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 7
Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2431-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-2431-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 7
Research article
 | 
08 Jul 2025
Research article |  | 08 Jul 2025

Automatic grounding line delineation of DInSAR interferograms using deep learning

Sindhu Ramanath, Lukas Krieger, Dana Floricioiu, Codruț-Andrei Diaconu, and Konrad Heidler

Viewed

Total article views: 5,705 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,563 1,961 181 5,705 188 336
  • HTML: 3,563
  • PDF: 1,961
  • XML: 181
  • Total: 5,705
  • BibTeX: 188
  • EndNote: 336
Views and downloads (calculated since 11 Mar 2024)
Cumulative views and downloads (calculated since 11 Mar 2024)

Viewed (geographical distribution)

Total article views: 5,705 (including HTML, PDF, and XML) Thereof 5,650 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 28 May 2026
Download
Short summary
Grounding lines are geophysical features that divide ice masses on the bedrock and floating ice shelves. Their accurate location is required for calculating the mass balance of ice sheets and glaciers in Antarctica and Greenland. Human experts still manually detect them in satellite-based interferometric radar images, which is inefficient given the growing volume of data. We have developed an artificial-intelligence-based automatic detection algorithm to generate Antarctica-wide grounding lines.
Read more
Share