The LiCSBAS method considering atmospheric errors and phase unwrapping errors in the detection of geological disasters in alpine valley region

doi:10.13474/j.cnki.11-2246.2022.0182.

Abstract

Abstract: Aiming at the current time-consuming data preprocessing of time series analysis and the disadvantages of single-track detection of geological disasters in mountain and valley areas,this paper takes the mountain and valley areas along the Xiaojiang river in Dongchuan as the research object,using the time series LiCSBAS method and joint 2D deformation decomposition detect geological disasters in high mountains and valleys,explore the practical application of using LiCSAR products and GACOS products to solve the effects of excessive processing time,atmospheric delay control,and phase unwrapping error.The experimental results show that:①Using LiCSAR and GACOS products can greatly speed up the data processing efficiency and reduce the atmospheric delay on the image of the deformation results.②The loop closed phase can effectively identify the problematic loop with the root mean square value greater than the defined threshold.③The 1D line-of-sight deformation obtained by the joint lifting rail is divided into two dimensions to obtain the vertical and east-west deformations. The information of various deformations is integrated,and high-resolution optical images are introduced to detect a total of 6 geological disaster areas. The accuracy and advantages of this method in the detection of geological disasters in mountain and valley areas are verified,and which provides an effective and rapid detection method for government departments to monitor and detect the occurrence of geological disasters in mountain and valley areas.

Key words: alpine valley, geological disasters, LiCSBAS, 2D deformation, atmospheric correction, unwrapping error

CLC Number:

P237

ZHOU Dingyi, ZUO Xiaoqing, XI Wenfei, XIAO Bo, LIU Xinyu. The LiCSBAS method considering atmospheric errors and phase unwrapping errors in the detection of geological disasters in alpine valley region[J]. Bulletin of Surveying and Mapping, 2022, 0(6): 114-120147.

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