Study on Landslide Disaster Extraction Method Based on Spaceborne SAR Remote Sensing Images-Take ALOS PALSAR for an Example
In this paper,sequence ALOS PALSAR data and airborne SAR data of L-band from June 5,2008 to September 8,2015 are used.Based on the research of SAR data preprocessing and core algorithms,such as geocode,registration,filtering,unwrapping and baseline estimation,the improved Goldstein filtering algorithm and the branch-cut path tracking algorithm are used to unwrap the phase.The DEM and surface deformation information of the experimental area were extracted.Combining SAR-specific geometry and differential interferometry,on the basis of composite analysis of multi-source images,a method of detecting landslide disaster combining coherence of SAR image is developed,which makes up for the deficiency of single SAR and optical remote sensing acquisition ability.Especially in bad weather and abnormal climate areas,the speed of disaster emergency and the accuracy of extraction are improved.It is found that the deformation in this area is greatly affected by faults,and there is a tendency of uplift in the southeast plain and western mountainous area,while in the southwest part of the mountain area there is a tendency to sink.This research result provides a basis for decision-making for local disaster prevention and control.
SAR Landslide Phase unwrapping InSAR Coherence
Dongjian Xue Xiangwei Yu Shichao Jia Fengjiao Chen Xuecong Li
College of Earth Sciences of Chengdu University of Technology,Chengdu Sichuan,China;Research Institu College of Earth Sciences of Chengdu University of Technology,Chengdu Sichuan,China;Key Laboratory o College of Earth Sciences of Chengdu University of Technology,Chengdu Sichuan,China
国际会议
北京
英文
2023-2027
2018-05-07（万方平台首次上网日期，不代表论文的发表时间）