InSAR deformation monitoring and early identification of landslide disasters in Lanping county

doi:10.13474/j.cnki.11-2246.2025.0707

Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (7): 40-45.doi: 10.13474/j.cnki.11-2246.2025.0707

InSAR deformation monitoring and early identification of landslide disasters in Lanping county

LI Ruofan¹, LI Yongfa^1,2, ZUO Xiaoqing^1,2, HUANG Cheng³, XING Mingze¹, LI Yongning¹, ZHANG Jianming¹, SHI Chao¹, GU Xiaona¹

1. College of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China;
2. Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources Monitoring, Kunming 650218, China;
3. Yunnan Geological Environment Monitoring Institute, Kunming 650216, China

Received:2024-12-30 Published:2025-08-02

Abstract

Abstract: In response to the frequent occurrence of geological disasters in Lanping county,traditional methods are difficult to achieve early identification of landslides in a wide area.This article uses SBAS InSAR technology to conduct early identification and analysis research on landslides in Lanping county.Firstly,in response to the serious problem of geometric distortion in SAR images in the high mountain canyon area of Lanping county,the R index method is used to extract the geometric distortion area in the area to ensure the accuracy and reliability of InSAR deformation results.Secondly,SBAS InSAR technology is used to obtain surface deformation information of Lanping county from January 2021 to December 2023,and optical images are combined to identify landslide disasters in Lanping county.Finally,select typical landslide disaster points for spatiotemporal evolution feature analysis.The research results show that the method proposed in this article can effectively improve the accuracy of landslide hazard identification in high mountain and canyon areas.A total of 42 deformation areas have been detected in Lanping county,mainly distributed on both sides of the Lancang River basin.The research results can provide scientific basis for geological hazard prevention and control work in Lanping county.

Key words: SBAS InSAR technology, Lanping county, high mountain canyon areas, geometric distortions, landslide disaster

CLC Number:

P237

LI Ruofan, LI Yongfa, ZUO Xiaoqing, HUANG Cheng, XING Mingze, LI Yongning, ZHANG Jianming, SHI Chao, GU Xiaona. InSAR deformation monitoring and early identification of landslide disasters in Lanping county[J]. Bulletin of Surveying and Mapping, 2025, 0(7): 40-45.

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InSAR deformation monitoring and early identification of landslide disasters in Lanping county

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