Application Of DInSAR Technology In Surface Subsidence Monitoring In Lvliang Mountain Area

There are a large number of geological disasters in many mountain areas of China.Lvliang Mountain is located in the western part of Shanxi Province,and is also the main part of the mining area in the Fenxi.The geological disasters caused serious ecological damage and affected people's production and life.Therefore,the detection and monitoring of surface deformation in Lvliang Mountain area can provide effective data for geological disaster investigation and disaster prevention and mitigation.Compared with traditional monitoring methods,this paper based on differential interferometry remote sensing technology for deformation monitoring,with all-day,all-weather,large-scale,low-cost,high-precision monitoring capabilities,can quickly obtain deformation information in the study area.In this paper,based on InSAR technology to obtain deformation information in Lvliang Mountain,the main research contents and results are two aspects,as follows:(1)Using ALOS1/PALSAR radar data to analyze the large-scale surface deformation information in Lvliang Mountain area,the data,processing process based on SBAS technology was described in detail,and it was confirmed that SBAS technology can well improve the impact of time and space baseline,and can perform noise Simulation;thus extracting deformation information.Based on the above analysis,we obtained the results of large-scale surface deformation detection and monitoring in Lvliang Mountain area,selected thepoints near the subsidence center in the study area for time series deformation analysis,and provided the ALOS1/PALSAR data to monitor the spatial-temporal evolution of surface deformation in Lvliang Mountain area.(2)Analyze and monitor a certain mining area in Lingshi County of Lvliang Mountainous Area,obtaining high-resolution time-series deformation maps and annual average deformation maps of the mining area,and giving the process of the spatial-temporal evolution of the surface deformation of the mining area;The profiles were quantitatively analyzed and studied for the shape variables.