Articles | Volume 13, issue 6
Earth Syst. Sci. Data, 13, 2723–2742, 2021
https://doi.org/10.5194/essd-13-2723-2021
Earth Syst. Sci. Data, 13, 2723–2742, 2021
https://doi.org/10.5194/essd-13-2723-2021
Data description paper
15 Jun 2021
Data description paper | 15 Jun 2021

Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning

Yi-Ran Wang and Xiao-Ming Li

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Latest update: 27 Jun 2022
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Short summary
Sea ice cover is the most fundamental factor that indicates the underlying great changes in the Arctic. We propose novel sea ice cover data in high resolution of a few hundred meters by spaceborne synthetic aperture radar, which is more than 10 times that of the operational sea ice cover and concentration data. The method is based on a deep learning architecture of U-Net. We have been processing data acquired by Sentinel-1 since 2014 to obtain high-quality sea ice cover data in the Arctic.