SBAS-InSAR技术在昆明高铁南站山体形变监测中的应用

Application of SBAS-InSAR technology in deformation monitoring of mountain in Kunming South Railway Station

山体滑坡对人类安全造成严重影响,传统的滑坡形变监测成本高、耗时长、效率低,采用合成孔径雷达干涉测量(InSAR)技术对滑坡进行形变监测,既能提升效率又可以节约成本。本文基于SBAS-InSAR技术,对昆明高铁南站2019年1月1日-2019年12月31日的24景Sentinel-1降轨数据进行处理,获取研究区的形变速率为-11.56~13.08 mm/a,利用像元二分模型对Sentinel-2光学数据进行处理,获取该区域2019年的植被覆盖度,结合6个典型形变点对研究区的形变进行了探究。研究结果表明,高铁南站山体西侧为主要形变区,植被覆盖度高的区域形变量较小,植被覆盖度低的区域形变量较大,该研究对昆明高铁南站的安全监测具有重要的意义。

Landslide has a serious impact on human safety.The traditional landslide deformation monitoring has high cost,time consuming and low efficiency.The synthetic aperture radar interferometry(InSAR)landslide deformation monitoring technology can improve efficiency and save cost.Based on SBAS-InSAR technology,we process 24 sentinel-1 rail drop data from January 1,2019 to December 31,2019,obtained the deformation rate of the study area as-11.56~13.08 mm/a,processing of the sentinel 2 optical data using the pixel dichotomous model,obtained the vegetation coverage of the region in 2019.The deformation of the study area was combined with six typical deformation points.The results of the study show that,the west side of the mountain is the main deformation area,small area variable with high vegetation cover,large area shape variable with low vegetation cover.This study is of great significance for the safety monitoring of Kunming South Railway Station.