| Landslide disaster is a very important geological disaster,it not only brings a threat to the safety of human life,but also has serious damage to the environment,resources,property and so on.Under the background of frequent hydraulic development in the mountainous area of southwest China,a large number of landslide disasters are developed in the reservoir area under the influence of periodic control of reservoir water level.According to the need of disaster prevention and reduction in reservoir operation,it is of great theoretical and practical significance to carry out effective evaluation of landslide susceptibility in the reservoir area for the early identification and prevention of landslides.In recent years,synthetic aperture radar(In SAR)technology has been widely used in surface deformation monitoring,and has become a reliable new technique in landslide research.However,how to organically combine it with the study of landslide susceptibility,and improve the accuracy and prediction ability of landslide susceptibility evaluation,is still in the exploratory stage.This paper chose Maoergai reservoir area as the research object,on the basis of the geological environment background conditions,combined with the sentinel-1 radar image data of 20 scenes from March 2018 to May 2019,application sequence In SAR technology set of Small Baseline Subset In SAR(SBAS)to extract the surface deformation of the study area,carried out in sequence In SAR deformation factors of landslide prone evaluation.The main contents and research results are as follows:(1)Extract and generate surface deformation factors in the research area by using SBAS technology.According to the background of geological environment,the surface deformation points were screened,and finally 10118 high-precision deformation points were obtained.Using kriging interpolation form continuous data,complete SBAS deformation factors participate in the evaluation research of data preprocessing.(2)According to the geological environment background,in the study area to establish evaluation index system of landslide liability.The slope direction,slope,profile curvature,river distance,highway distance and SBAS deformation factors were selected as the index factors affecting landslide development.The comparison of the actual landslide compilation data with the performance of the surface deformation points in each influence factor interval further verifies the rationality of the participation of the SBAS deformation factor in the evaluation.(3)The evaluation model of the study area was constructed to verify the effectiveness and accuracy of the landslide susceptibility evaluation incorporating SBAS deformation.The method of Analytic Hierarchy Process and the method of information quantity were combined to carry out the regional evaluation of landslide susceptibility.By comparing with the results of the vulnerability assessment of the study area without using the deformation data of SBAS,and the Receiver operating characteristic(ROC)curve,it is verified that the method adopted in this study has higher accuracy and better performance. |
