R. Dwivedi, P. Varshney, A. Tiwari, Avadh Bihari Narayan, Ashutosh Kumar Singh, O. Dikshit, K. Pallav
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引用次数: 2
摘要
本文研究了斯坦福持续散射体方法(StaMPS)在印度北阿坎德邦Nainital镇及邻近地区监测临界滑坡的有效性,该地区存在排水管理系统不健全、地震活跃的主边界逆冲(MBT)从该地区通过、在高度不稳定的斜坡上不必要的施工以及岩石原位强度低的问题。本研究利用2008年10月至2010年8月期间获得的13幅奈尼塔尔的ENVISAT ASAR c波段下降图像进行PS-InSAR时间序列分析,用于地表位移测量。实例研究表明,StaMPS有效地提取了足够数量的PS像素,并检测到某些区域发生的缓慢运动。在研究区,还确定了几个关键区域,其中时间序列1D-Line of Sight (LOS)位移图显示的最大变形(远离卫星)约为17 mm/年。
Monitoring of landslides in Nainital, Uttarakhand, India: Validation of PS-InSAR results
This paper investigates the efficacy of Stanford Method for Persistent Scatterers (StaMPS) to monitor the critical landslides in Nainital township and adjoining areas of state of Uttarakhand, India which has problems due to inadequate drainage management system, seismically active Main Boundary Thrust (MBT) passing from the area, unwanted construction on highly unstable slopes and low insitu strength of rocks. In this research work, 13 descending ENVISAT ASAR C-Band images of Nainital acquired between October 2008 to August 2010 are processed to study the PS-InSAR time series analysis for measuring surface displacement. The case study indicates that StaMPS efficiently extracted sufficient number of PS pixels and detected the slow movement occurring in some regions. In the study area, few critical zones are also identified where time series 1D-Line of Sight (LOS) displacement map shows the maximum deformation (away from the satellite) of about 17 mm/year.