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用Sentinel-2和Landsat-8数据对J&K喜马拉雅地区的Siachen冰川的基于反复通过成像的速度估计:与SAR观测结果的比较

Abhilash Yellala¹, Vijay Kumar¹

¹School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.

|July 29, 2024

概括

这项研究估计了Siachen冰川.

科学领域:

冰川学的冰川学
遥感遥感遥感遥感
地质物理学地质物理学

背景情况:

冰川表面速度是理解冰川动态和气候变化影响的关键参数.
精确的速度测量对于高山地区的水文和地质危险评估至关重要.

研究的目的:

用卫星数据估计西雅琴冰川的表面速度.
为了比较光学 (Sentinel-2,Landsat-8) 和合成光圈雷达 (Sentinel-1) 数据对冰川速度研究的有效性.
为了评估传感器对特征提取的影响,用于冰川运动分析.

主要方法:

在重复通道光学和SAR卫星数据上使用子像素偏移跟踪 (SOT).
处理了来自Sentinel-2,Landsat-8和Sentinel-1卫星的数据,涵盖了2013-2018年期间的数据.
来自不同传感器数据对的相关二维表面速度测量.

主要成果:

在Sentinel-2和Landsat-8衍生速度之间观察到高相关性 (>70%),验证了传感器的一致性.
西雅琴冰川的表面速度在2013-2018年间大约在每年120到151米之间.
所有测试的传感器 (Sentinel-1,Sentinel-2,Landsat-8) 由于几乎同时采集数据,产生了类似的冰川运动结果.

结论:

光学和SAR卫星数据可用于监测喜马拉雅冰川表面速度.
副像素偏移跟踪方法是有效的冰川速度估计使用多传感器卫星数据.
传感器之间一致的结果表明,用于冰川监测的遥感技术的稳定性.

关键词:

冰川冰川是一个冰川.在喜马拉雅山脉,运动运动运动抵消跟踪追踪抵消跟踪这就是为什么SAR SAR SAR.这里是Siachen的Siachen.

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