Geology Based On Time Series InSAR Technology Disaster Monitoring And Analysis

With the continuous development of human science and technology and the continuous improvement of production and living standards,human research on various geological disasters has become more and more in-depth.Various geological disasters such as surface subsidence,mining subsidence,debris,and flow landslides have all posed a huge threat to the safety of people’s lives and properties.Therefore,the monitoring of geological disasters is of great significance,and surface deformation is one of the most direct and effective monitoring indicators in the process of gestation and development of geological disasters.Interferometric Synthetic Aperture Radar(In SAR)technology can obtain millimeter-level surface deformation in the direction of radar line of sight through multiple SAR images covering the same area.Different from traditional monitoring technology,In SAR technology has the advantages of all-weather and large-scale,and is widely used in mountain landslide disaster prediction,mining subsidence monitoring and urban subsidence monitoring.Based on the time-series In SAR technology,this paper studies the mining subsidence and landslide monitoring respectively.The experimental locations are Dongsheng District,Ordos City,Inner Mongolia,and parts of Aba Mao County and Li County,Sichuan Province.In this paper,characteristic points are selected for the landslide area to analyze the settlement,and a mathematical model is established to obtain the cause of settlement and the trend of the later settlement.The main research contents are as follows:(1)The technology and principle of In SAR are introduced in detail,and the SAR satellite data of different countries are compared.In this paper,taking the Ordos mining area as an example,based on Sentinel-1A data and using time series In SAR technology to process image data from October 2019 to April 2020.For areas that are decoherent due to large deformation,this paper uses partial interference pairs to calculate the deformation rate,and estimates the accumulated settlement during the cumulative period of observation time.(2)As an important monitoring method,In SAR technology can obtain large-scale surface deformation and monitor changes in geological disasters.In view of the frequent occurrence of landslides in Northwest China,this paper selects parts of Maoxian and Lixian in Aba Prefecture,and uses time series In SAR technology to monitor the area from October 6,2020 to April 4,2021.The monitoring results found that there were 4 landslide risk areas.This paper selects the regional characteristic points of Baibu Village,Maoxian County,conducts modeling analysis on settlement,precipitation and soil moisture,and uses arithmetic optimization algorithm and whale optimization algorithm to optimize the support vector machine model.The model fitting effect is good,which can be used for the later rainy season.Subsidence and early warning provide reference.(3)For the prediction of the later movement trend of the landslide area,the grey prediction model and the autoregressive moving average model are introduced in detail in this paper.In this paper,the cumulative deformation variables of the feature points obtained from the In SAR data are used for prediction,and the results show that both prediction models can meet the prediction requirements.