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InSAR-Based Sensitivity Evaluation and Early-Stage Deformation Detection along the China-Laos Railway
Mengshi Yang1, Ramon F. Hanssen2, Yangwei Yu1, Yiming Huang1, Kang Yin1
1Yunnan University, China, China, People's Republic of; 2Delft University of Technology, The Netherlands
The China-Laos Railway, a critical Belt and Road Initiative infrastructure project traversing geologically complex mountainous terrains (including fault zones, karst systems, and monsoon-affected regions), faces persistent geological risks threatening its long-term stability. Systematic deformation monitoring emerges as an indispensable safeguard to mitigate cascading risks – from landslides and subsidence to slope instability – while enhancing cross-border risk governance. As a strategic transnational corridor, the deformation monitoring approach not only ensures operational resilience but also fosters international cooperation in ecological security, underpinning the sustainable development of Asia's economic connectivity framework.
This study employs advanced Interferometric Synthetic Aperture Radar (InSAR) technology to evaluate the sensitivity of deformation detection and identify early-stage ground subsidence along the railway corridor. By integrating multi-temporal Sentinel-1 datasets with InSAR techniques, the research quantifies millimeter-scale surface displacements and maps deformation hotspots. Results reveal spatially heterogeneous subsidence patterns influenced by geological conditions, anthropogenic activities, and hydrological factors. The findings demonstrate InSAR’s capability to detect potential deformation signal, offering a proactive approach to infrastructure monitoring.
