| Summary: | The Sentinel-1 SAR based sea ice cover data in the Arctic. Based on the U-Net, one kind of architecture of deep learning, we developed a novel method of deriving sea ice cover information from spaceborne SAR data in high spatial resolution. Then we produced the relevant data product based on the ESA Sentinel-1 SAR data acquired in the Arctic using the proposed method. The Sentinel-1A and 1B SAR satellites have been extensively acquired the so-called extra-wide (EW) swath mode data in the polar regions since their launch in 2014 and 2016. The EW data have a wide coverage of approximately 400 by 400 km and a pixel size of 40 by 40 m. The twins can acquired SAR data by approximately 2500 scenes each month in the Arctic. Based on the above-mentioned method, we processed each S1 SAR image acquired in the Arctic and generated the sea ice cover data, which are in the standard CF 1.7 convention of NetCDF. Each S1 image corresponds to a NC file. The spatial resolution of the SAR-derived sea ice cover is 400 m. We have finished processing the S1 data acquired through the year 2019 to 2021 in the Arctic and upload the corresponding sea ice cover data. We are continuing to process the historical data and ongoing acquired data. Therefore, the published data will be updated often.
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