时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新

坡体表面形变是表征坡体稳定性的重要信息，因此，非常有必要对滑坡多发区域进行时序常规变形监测.近年来，星载合成孔径雷达数据由于其覆盖范围大、形变监测精度高的特点，被越来越多的用于山区滑坡识别与探测.首先介绍了联合分布式目标与点目标的时序InSAR方法，并将该方法应用于分析覆盖三峡藕塘滑坡的2007年至2011年的19景ALOS PALSAR数据和2015年至2018年的47景Sentinel-1数据，提取了数据覆盖时间段内的藕塘地区的变形速率.发现相比于2007年至2011年，2015年至2018年新增三处不稳定斜坡.进一步对滑坡的时序变形分析表明，降雨和水位变化是坡体稳定性最大的两个影响因素.实验证明时序InSAR方法可以作为常规形变手段来识别与监测三峡库区等地区潜在的滑坡，为防灾减灾提供支持与依据. 

Slope Stability State Monitoring and Updating of the Outang Landslide,Three Gorges Area with Time Series InSAR Analysis

Slope displacement is the most direct embodiment of slope stability. Thus, it is of great significance to monitor the known landslides and detect the unknown landslides by routine time series displacements of landslide prone areas. Synthetic Aperture Radar (SAR) images with its wide coverage and capability of high presicion displacement monitoring play more and more important roles in landslide identification and detection. In this study, time series InSAR analysis method combining distributed scatterers and point-like targets is introduced. Then, we investigate the stability of the Outang landslide and surrounding slopes with 19 ALOS PALSAR images from 2007 to 2011 and 47 Sentinel-1 images from 2015 to 2018. Three new active slopes were identified with the Sentinel-1 datasets compared with the results from ALOS PALSAR datasets. Time series displacement analysis indicate the rainfall and water level fluctuation seriously affect the stability of slopes in the Three Gorges area. As a result, time series InSAR analysis can be carried out routinely to monitor and detect potential landslides.