古拉坝滑坡场地InSAR位移监测与分析

A. Virk, Amanpreet Singh, S. Mittal
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引用次数: 4

摘要

干涉合成孔径雷达(InSAR)是一种强大的遥感技术,可为滑坡位移的长期监测提供高空间分辨率的连续覆盖地表数据。在目前对Manalito Marhi(喜马偕尔邦,印度)地区Gulaba营地的研究中,正在实施一种利用上升和下降InSAR数据集监测滑坡的新方法。采集了26个月的30幅上升和23幅下降的Sentinel-1干涉宽幅图像,并对其进行了处理,以确定与地面观测相吻合的活动滑坡点。上升路径和下降路径相结合的结果使研究期间的累积位移为60-100 mm/年,速度为20-45 mm/年。本研究证明了多时相InSAR在滑坡评估和监测中是一种有用的技术,并得出了将上升路径和下降路径数据相结合可以大大改善结果的结论。Amardeep Singh Virk, Amanpreet Singh, Mittal SK.基于InSAR技术的古拉坝滑坡位移监测与分析遥感与地理信息系统学报。2018;9 (2): 37-46p。
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Monitoring and Analysis of Displacement Using InSAR Techniques for Gulaba Landslide Site
Interferometric Synthetic Aperture Radar (InSAR) is a powerful remote sensing technique which provides high spatial resolution images with continuous temporal coverage of the earth surface data for monitoring of long-term landslide displacement. In the current study over Gulaba Camp in Manalito Marhi (Himachal Pradesh, India) region, a novel approach to monitor the landslide using the ascending and descending InSAR data sets is being implemented. 30 ascending and 23 descending Sentinel-1 Interferometric Wide Swath images spanning the period of 26 months are acquired and processed to identify active landslide sites which have been verified with the ground observations. The combination of the results of ascending and descending path enabled to provide cumulative displacement of 60–100 mm/year over the study period with a velocity of 20–45 mm/year. This study demonstrated multi-temporal InSAR is a useful technique in assessment and monitoring of the landslide and concluded that combining ascending and descending path data has greatly improved the result. Keywords: Landslide, multi-temporal InSAR, baseline, natural hazard Cite this Article Amardeep Singh Virk, Amanpreet Singh, Mittal SK. Monitoring and Analysis of Displacement Using InSAR Techniques for Gulaba Landslide Site. Journal of Remote Sensing & GIS. 2018; 9(2): 37–46p.
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