北极海冰边缘区短时间间隔的网格化冰水分类数据集（2021-2022年）

数据集将Sentinel-1合成孔径雷达（SAR）数据与Gaofen-3（GF-3）SAR和SDGSAT-1热红外图像结合在一起，以获得海冰边缘区（MIZ）的观测结果，包括系列时间分辨率几分钟到数十个小时。时间范围从2021年8月至2022年8月，覆盖北极的区域包括卡拉海，波弗特海和格陵兰海和格陵兰海。使用面向对象的分段和阈值来获取Sentinel-1和GF-的冰-水分类地图3个SAR图像对，Sentinel-1 SAR和SDGSAT-1热图像对。每对图像之间的时间间隔在1分钟到68小时之间。使用了GF-3 SAR数据的空间分辨率为25 m，用于SDGSAT-1热数据的十公里网格样品颗粒为25 m。

This dataset integrates Sentinel-1 Synthetic Aperture Radar (SAR) data, Gaofen-3 (GF-3) SAR data, and SDGSAT-1 thermal infrared imagery to obtain observations of the Marginal Ice Zone (MIZ), with temporal resolutions ranging from several minutes to tens of hours. The temporal coverage spans from August 2021 to August 2022, covering Arctic regions including the Kara Sea, Beaufort Sea, and Greenland Sea. Object-oriented segmentation and thresholding methods were used to generate ice-water classification maps for two image pairs: Sentinel-1 and GF-3 SAR image pairs, as well as Sentinel-1 SAR and SDGSAT-1 thermal image pairs. The time interval between each pair of images ranges from 1 minute to 68 hours. The employed GF-3 SAR data has a spatial resolution of 25 m, and the SDGSAT-1 thermal data was resampled to a 25 m grid from its original 10 km grid resolution.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于多源卫星观测的北极海冰边缘区冰水分类数据集，时间范围为2021年8月至2022年8月。它融合了Sentinel-1合成孔径雷达、Gaofen-3合成孔径雷达和SDGSAT-1热红外图像，提供了从几分钟到数十小时的高时间分辨率观测数据，覆盖了卡拉海、波弗特海和格陵兰海等北极区域，主要用于支持海冰动态变化研究。