%0 Dataset
%T Grid based high-resolution ice water classification dataset for Arctic sea ice edge zone (2021)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/03da632f-ab16-4093-b529-db259fb5af2a
%W NCDC
%R 10.12072/ncdc.nieer.db6496.2024
%A Huang lin
%A Qiu Yubao
%A Li yang
%A Yu shuwen
%A Zhong wanyang
%K Sea ice dynamics;ice water classification
%X By combining Sentinel-1 data, GF-3 satellite SAR, and SDGSAT-1 thermal infrared data, multiple time interval observations of the sea ice edge zone were obtained. The time intervals ranged from a few minutes to several tens of hours, covering key areas of the Arctic Kara Sea, Beaufort Sea, and Greenland Sea from August 2021 to August 2022 and from October to December 2023. The grid size was 10km * 10km. Using object-oriented segmentation and thresholding methods to obtain ice water classification maps for Sentinel-1 and Sentinel-1 image pairs, Sentinel-1 and GF-3 image pairs, and Sentinel-1 and SDGSAT-1 TIR image pairs, with time intervals ranging from 1 minute to 72 hours. The spatial resolution of GF-3 SAR data is 25m, SDGSAT-1 data is 30m, and Sentinel-1 data is 40m on a 10km grid sample.  Data naming convention: region_time interval time_time grid numbering satellite resolution. tif  Attribute information:  0: Water  1: Ice