Articles | Volume 15, issue 1
https://doi.org/10.5194/gi-15-53-2026
https://doi.org/10.5194/gi-15-53-2026
Research article
 | 
09 Feb 2026
Research article |  | 09 Feb 2026

Classification of sea-ice concentration from ship-board S-band radar images using open-source machine learning tools

Elizabeth Westbrook, Peter Gaube, Emmett Culhane, Frederick Bingham, Astrid Pacini, Carlyn Schmidgall, Julian Schanze, and Kyla Drushka

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Short summary
We develop a machine learning methods to detect and classify how much sea ice was present around our research vessel. We used a navigation radar common on many merchant vessels attached to a screen capture device. The captured images were classified using a convolutional neural network and the resulting classification were found to be in good agreement with direct observations and satellite-based products.
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