基于SBAS-InSAR的山体滑坡形变监测分析

Monitoring and analysis of landslide deformation based on SBAS-InSAR

本文以2019年3月15日发生于山西省临汾市乡宁县枣岭乡的山体滑坡为研究对象,采用滑坡前后2018年7月5日至2019年6月30日(共30景)Sentinel-1A的SAR影像数据,利用SBAS-InSAR技术对滑坡形变进行监测,发现研究区形变速率为-52.03~33.77 mm/a,整体环境较为稳定;研究了长时序黄土塬的形变速率和累积形变量,并结合相关地质资料分析滑坡成因;采用标准差椭圆算法分析了滑坡所在的黄土塬地区地表形变的时空演变特征,结果表明标准差椭圆的重心向西北偏移,椭圆面积小幅减小,西北-东南方向形变加剧,东北-西南方向变形发展则相对缓和,方位角逆时针旋转,偏移约17.03°。

Taking the mountain landslide occurred in Zaoling township in Shanxi province on March 15,2019 as the research object,using Sentinel-1A SAR image data from July 5,2018 to June 30,2019(a total of 30 scenes)before and after the landslide,this papere monitors the deformation data of landslides with the support of SBAS-InSAR technology.The results show that the deformation range of the study area is-52.03 to 33.77 mm/a,and the overall environment is relatively stable.The deformation rate and cumulative deformation variables of the long-term loess plateau are analyzed.The causes of landslides are analyzed based on relevant geological data from the research area.Using the standard deviation ellipse algorithm,it analyzes the spatio-temporal evolution characteristics of surface deformation in the loess plateau area where the landslide is located.The results show that the center of gravity of the standard deviation ellipse shifts to the northwest,the elliptical area decreases slightly,the deformation intensifies in the northwest southeast direction,and the deformation development in the northeast southwest direction is relatively gentle.The azimuth angle rotates counterclockwise,and the displacement is about 17.03°.