Exploring the spatial distribution of surface deformations along the China-Laos railway based on SBAS-InSAR technology: Taking the Jinghong section as an example
JIN Tingting1(), XI Wenfei1,2(), QIAN Tanghui1, GUO Junqi1, HONG Wenyu1, DING Zitian1, GUI Fuyu1
1. Department of Geography, Yunnan Normal University,Kunming 650500,China 2. The Key Laboratory of Plateau Geographic Process and Environmental Change in Yunnan Province,Kunming 650500,China
Surface deformations pose significant threats to the normal operation of railways. Investigating the spatial distribution of surface deformations along the China-Laos railway holds great significance for disaster prevention and mitigation. Based on 36 scenes of ascending orbit and 50 scenes of descending orbit images from Sentinel-1A satellite from December 2021 to August 2023, this study conducted deformation inversion using the small baseline subset interferometric synthetic aperture Radar (SBAS-InSAR) technique. Besides, this study conducted spatial distribution statistics and analysis of surface deformations along the Jinghong section of the China-Laos railway. The results indicate that the overall deformation along the railway exhibits a heterogeneous distribution, with multiple potential hazards in the northern mountainous area. Among the selected typical deformation zones, the maximum subsidence rate in the northern mountainous area reaches -108.718 mm/a, whereas the southern plain area shows significant uplift with a rate of 227.315 mm/a. Along the railway, the surface deformation rates in the line of sight (LOS) direction ranged from -319.811 mm/a to 321.638 mm/a. Obvious subsidence occurred in Puwen Town and Dadugang Township. Conversely, minor subsidence was observed in urban areas like Mengyang town, Yunjinghong subdistrict, and Gasa town, with pronounced uplifts in the southeastern part of Menghan town. Along the railway, deformations in mountainous areas were primarily concentrated at elevations ranging from 800 m to 1400 m, with soft rocks prevailing in these deformed areas. InSAR-based analysis of the spatial distribution of the surface deformations along the railway is of significant value for the safe operation of the railway.
靳婷婷, 喜文飞, 钱堂慧, 郭峻杞, 洪文玉, 丁子天, 桂富羽. 基于SBAS-InSAR技术的中老铁路沿线地表形变空间分布研究——以景洪段为例[J]. 自然资源遥感, 2025, 37(4): 232-240.
JIN Tingting, XI Wenfei, QIAN Tanghui, GUO Junqi, HONG Wenyu, DING Zitian, GUI Fuyu. Exploring the spatial distribution of surface deformations along the China-Laos railway based on SBAS-InSAR technology: Taking the Jinghong section as an example. Remote Sensing for Natural Resources, 2025, 37(4): 232-240.
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