Articles | Volume 14, issue 8
https://doi.org/10.5194/tc-14-2629-2020
https://doi.org/10.5194/tc-14-2629-2020
Research article
 | 
20 Aug 2020
Research article |  | 20 Aug 2020

Classification of sea ice types in Sentinel-1 synthetic aperture radar images

Jeong-Won Park, Anton Andreevich Korosov, Mohamed Babiker, Joong-Sun Won, Morten Wergeland Hansen, and Hyun-Cheol Kim

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Latest update: 27 Mar 2024
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Short summary
A new Sentinel-1 radar-based sea ice classification algorithm is proposed. We show that the readily available ice charts from operational ice services can reduce the amount of manual work in preparation of large amounts of training/testing data and feed highly reliable data to the trainer in an efficient way. Test results showed that the classifier is capable of retrieving three generalized cover types with overall accuracy of 87 % and 67 % in the winter and summer seasons, respectively.