DynIceData: A gridded ice-water classification dataset at short-time intervals based on observations from multiple satellites over the marginal ice zone ... : DynIceData: A gridded ice-water classification dataset at short-time intervals based on observations from multiple satellites over the marginal ice zone ...

• Main Authors: Huang, Lin, Yubao Qiu, Li, Yang, Shuwen Yu, Wanyang Zhong
• Format: Dataset
• Language: English
• Published: Science Data Bank 2023
• Subjects: Earth science; Sea ice dynamics; ice-water classification; Sentinel-1; GF-3; SDGSAT-1; marginal ice zone; Arctic; Greenland; Kara Sea; Beaufort Sea; Greenland Sea; Sea ice
• Online Access: https://dx.doi.org/10.57760/sciencedb.j00001.00784; https://www.scidb.cn/en/detail?dataSetId=7ad5407c4fd54c81b8676393eb0a4a2b

The high-resolution observations to the short-term changes of sea ice are critical for scientific understanding to the ice dynamic pattern, especially in the Arctic, which is also important to the Arctic shipping advisory. Though, single orbit spaceborne sensor provides periodically sea ice observations at tens of meters resolution, the knowledge of short-time interval dynamic changes, e.g., within minutes or hours, are limited. A gridded ice-water classification dataset at short-time intervals by multi spaceborne observations in the Marginal Ice Zone (MIZ), the DynIceData, has been developed with multi spaceborne observations. The DynIceData combines Sentinel-1 Synthetic Aperture Radar (SAR) data with the Gaofen-3 (GF-3) satellite SAR and SDGSAT-1 thermal infrared image to obtain multi-time interval observations in the ice margin regions, with the time scale from minutes to tens of hours interval, covering key areas of the Arctic of the Kara Sea, Beaufort Sea, and Greenland Sea during August 2021-August ... : The high-resolution observations to the short-term changes of sea ice are critical for scientific understanding to the ice dynamic pattern, especially in the Arctic, which is also important to the Arctic shipping advisory. Though, single orbit spaceborne sensor provides periodically sea ice observations at tens of meters resolution, the knowledge of short-time interval dynamic changes, e.g., within minutes or hours, are limited. A gridded ice-water classification dataset at short-time intervals by multi spaceborne observations in the Marginal Ice Zone (MIZ), the DynIceData, has been developed with multi spaceborne observations. The DynIceData combines Sentinel-1 Synthetic Aperture Radar (SAR) data with the Gaofen-3 (GF-3) satellite SAR and SDGSAT-1 thermal infrared image to obtain multi-time interval observations in the ice margin regions, with the time scale from minutes to tens of hours interval, covering key areas of the Arctic of the Kara Sea, Beaufort Sea, and Greenland Sea during August 2021-August ...