Articles | Volume 19, issue 7
https://doi.org/10.5194/tc-19-2431-2025
https://doi.org/10.5194/tc-19-2431-2025
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

Data sets

Deep learning based automatic grounding line delineation in DInSAR interferograms S. Ramanath Tarekere https://doi.org/10.5281/zenodo.15228974

Model code and software

automatic_gll_delineation Sindhu Ramanath Tarekere and Lukas Krieger https://github.com/ sinramtar/automatic-gl-delineation.git

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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.
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