青藏高原山地冰川流速数据集（2019-2020）

冰川表面运动提取在冰川动力学与物质平衡变化研究中具有重要意义，针对当前我国自主遥感卫星数据在冰川运动监测应用中存在的不足，选用GF-3卫星FSI模式下获取的2019—2020年间覆盖青藏高原高山区典型冰川的SAR数据，借助并行化偏移量跟踪算法获取了研究区冰川表面流速分布。GF-3影像凭借其良好的空间分辨率，在规模较小、运动缓慢的冰川运动提取方面具有显著的优势，能够更好地体现冰川运动细节信息及其差异性。该研究有助于分析气候变化背景下青藏高原地区冰川的运动规律及其时空演变特征。

Extracting glacier surface motion is of great significance in research on glacier dynamics and mass balance changes. To address the limitations of China's indigenously developed remote sensing satellite data in their application for glacier motion monitoring, we selected SAR data covering typical glaciers in the high mountainous regions of the Qinghai-Tibet Plateau, which were acquired by the Gaofen-3 (GF-3) satellite in FSI mode during 2019–2020. We utilized a parallelized offset tracking algorithm to derive the glacier surface velocity distribution across the study area. GF-3 imagery, boasting excellent spatial resolution, exhibits notable advantages in extracting motion information for small-scale and slowly moving glaciers, enabling better representation of the detailed motion characteristics and differences of glaciers. This study facilitates the analysis of glacier motion patterns and spatiotemporal evolution characteristics in the Qinghai-Tibet Plateau under the context of climate change.

搜集汇总

背景与挑战

背景概述

该数据集基于GF-3卫星SAR数据，采用并行化偏移量跟踪算法生成2019-2020年青藏高原山地冰川表面流速分布，空间分辨率≤1米，数据大小218.68 MB，以开放获取方式共享。数据集主要用于冰川动力学和物质平衡变化研究，特别适用于分析小规模、慢速冰川的运动细节，有助于理解气候变化背景下冰川的时空演变特征。