Early Identification and Characteristics of Potential Landslides in Xiaojiang Basin, Yunnan Province, China Using Interferometric Synthetic Aperture Radar Technology

Author:

Zhang Xiaolun12ORCID,Gan Shu1,Yuan Xiping3,Zong Huilin1,Wu Xuequn1,Shao Yanyan4

Affiliation:

1. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

2. Faculty of Surveying and Mapping, Kunming Metallurgy College, Kunming 650033, China

3. Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities in Yunnan Province, West Yunnan University of Applied Sciences, Dali 671000, China

4. The Integrated Institute of Yunnan Bureau of Science, Technology and Industry for National Defense, Kunming 650118, China

Abstract

The Xiaojiang Basin ranks among the global regions with the highest density of geological hazards. Landslides, avalanches, and debris flows represent significant threats to the safety of residents and their properties, impeding sustainable development. This study utilized three InSAR techniques to monitor surface deformations in the basin, using the standard deviation of these measurements as a stability threshold to identify potential landslides. A systematic analysis of landslide development characteristics was then conducted. Key findings include the following: (1) The annual average deformation velocity in the basin from 2018 to 2021 ranged from −25.36 to 24.40 mm/year, identifying 212 potential landslides. (2) Deformation analysis of a typical landslide in Caizishan showed consistent detection of significant surface changes by all three InSAR methods. Seasonal deformation linked to summer rainfall exacerbates the movement in elevated landslides. (3) Landslides predominantly occur in fragile geological formations such as sandstone, mudstone, and kamacite on slopes of 20° to 40°. These landslides, typically covering less than 0.1 km2, are mostly found on barren and grassland terrains adjacent to lower debris gullies, with a relative elevation difference of under 300 m and an aspect range of 90° to 270°. A high kernel density value of 0.3 or higher was noted, with 86.8% influenced by regional tectonic activities, including fault zones. The results demonstrate that natural environmental factors primarily drive landslides in the Xiaojiang Basin, which pose significant threats to the safety of nearby residents. This study’s insights and outcomes provide valuable references for safeguarding local populations, disaster prevention, and promoting regional sustainable development.

Funder

National Natural Science Foundation of China

Scientific Research Foundation of Yunnan Education Department

Publisher

MDPI AG

Reference37 articles.

1. Zhu, Z., Gan, S., Yuan, X., and Zhang, J. (2022). Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China). Sensors, 22.

2. People’s Government of Dongchuan District, Kunming (2020). Dongchuan District 2020 Annual Geological Disaster Prevention and Control Programme [R], Office of the People’s Government of Dongchuan District, Kunming. (In Chinese).

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4. Zhang, K., Guo, H., Jiang, D., and Han, C. (2023). Analysis of Geometric Characteristics and Coverage for Moon-Based/Spaceborne Bistatic SAR Earth Observation. Remote Sens., 15.

5. Application of Satellite Radar Remote Sensing to Landslide Detection and Monitoring: Challenges and Solutions;Li;Geomat. Inf. Sci. Wuhan Univ.,2019

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