基于InSAR技术和光学遥感的贵州省滑坡早期识别与监测

贵州省因其复杂的地形地貌和强降水等气候特征，滑坡灾害频繁发生。亟需一种可靠的滑坡早期识别和监测方法。传统的滑坡识别和监测方法存在局限性，而InSAR技术在大规模地质灾害监测中具有独特的优势。但是，基于单一地表形变值的滑坡识别结果存在一定的不确定性。因此，本文联合InSAR技术和光学遥感，利用Sentinel-1A雷达卫星影像数据对贵州省六盘水市、铜仁市、贵阳市等地区进行大规模地表形变监测和危险形变区识别；并采用基于NDVI时间序列分析和基于滑坡发育要素的滑坡识别方法对研究区潜在滑坡灾害进行调查。利用InSAR技术对研究区域内重点滑坡（鸡场镇）进行监测，及时掌握滑坡的运动状态。本文方法对贵州省的灾害防治和管理具有重要意义。

Early identifying and monitoring landslides in Guizhou province with InSAR and optical remote sensing

The topography and landforms of Guizhou province in China are complicated, and the climatic conditions of heavy precipitation make landslide disasters in Guizhou province occur frequently. To avoid damage bringing to people's lives and economic property caused by disasters, a reliable early landslide identification method and landslide monitoring method are urgently needed. Traditional landslide identification and monitoring methods have limitations. InSAR technology has unique advantages in large-scale landslide identification and monitoring, but landslide identification results based on a single deformation value are one-sided. Therefore, this paper uses Sentinel-1A Radar satellite image data and uses InSAR technology and optical remote sensing technology togather to carry out large-scale surface deformation monitoring and identification of dangerous deformation areas in Liupanshui city, Tongren city, Guiyang city and other regions in Guizhou province. The potential landslide identification methods based on the time series normalized difference vegetation index and landslide development environment elements are combined to investigate hidden landslide hazards in the study area. In this paper, time series InSAR technology is used to monitor key landslides in Yujiaying, to grasp the movement status of the landslide in time. The method of landslide identification and monitoring in this paper is of great significance for disaster prevention and management in Guizhou province.