Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5337-2025
https://doi.org/10.5194/tc-19-5337-2025
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

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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.
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