Landslide Hazard Identification and Monitoring by Combined Lift Rail InSAR and GNSS
Landslide disaster is one of the most common geological disasters in China,which poses a serious threat to people's life and property.Scientific monitoring is of great significance to realize landslide prediction and forecasting.Therefore,this paper takes Zhangjiawan landslide in Chengxi District,Xining City as an example,takes Sentinle-1A data and surface GNSS observation point data in this area from January 2019 to April 2023 as data sources,and comprehensively utilizes the SBAS-InSAR and GNSS technologies to conduct continuous surface deformation monitoring,and processes and analyzes the results of its monitoring to form the time-series surface deformation rate map and the cumulative deformation.The experimental results show that the comparative analysis of the subsidence data and the screening of deformation anomalies through the joint lift-track InSAR and GNSS technologies can provide basic support for the prevention and control of ground subsidence and the occurrence and development of its disaster chain.