Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/gi-15-53-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-15-53-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
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

Viewed

Total article views: 3,643 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,705 810 128 3,643 134 166
  • HTML: 2,705
  • PDF: 810
  • XML: 128
  • Total: 3,643
  • BibTeX: 134
  • EndNote: 166
Views and downloads (calculated since 01 Apr 2025)
Cumulative views and downloads (calculated since 01 Apr 2025)

Viewed (geographical distribution)

Total article views: 3,643 (including HTML, PDF, and XML) Thereof 3,569 with geography defined and 74 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 24 Aug 2026
Download
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.
Read more
Share