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In permafrost regions along the Qinghai-Tibet Highway, frost heave and thaw settlement induce roadbed deformation and pavement cracking, posing significant threats to structural integrity and traffic safety. This study leveraged an integrated approach combining remote sensing, GIS technologies, and field monitoring to systematically investigate road corridor deformation and spatiotemporal variations in surface temperature-humidity dynamics. The methodology investigates ground subsidence in the Wudaoliang section of the Qinghai-Tibet Highway using 15 Sentinel-1 SAR scenes acquired between July 2015 and July 2016. Land surface temperature (LST) was retrieved through data from the Landsat ETM+ and Landsat 8 Thermal Infrared Sensor (TIRS), with emissivity estimation enhanced by spectral mixture analysis. Soil moisture dynamics across seasonal cycles in the permafrost-affected corridor were analyzed using Sentinel-1A Interferometric Wide swath (IW) Ground Range Detected (GRD) data. Validation results demonstrated that the integrated methodology achieved millimeter-level accuracy. A significant positive correlation was observed between subsidence rates and soil moisture. These findings highlight the critical role of hydrological variations in permafrost degradation and provide a robust multi-sensor framework for infrastructure stability assessment in cryospheric environments.

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PS-InSAR-Based Monitoring and Analysis of Ground Subsidence in the Wudaoliang Section of the Qinghai-Tibet Highway

  • 章节

  • 发表日期：

    2026年

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  • Shi Xu,
  • Guozhen Dong,
  • Lun Luo,
  • Yulin Luo

摘要

In permafrost regions along the Qinghai-Tibet Highway, frost heave and thaw settlement induce roadbed deformation and pavement cracking, posing significant threats to structural integrity and traffic safety. This study leveraged an integrated approach combining remote sensing, GIS technologies, and field monitoring to systematically investigate road corridor deformation and spatiotemporal variations in surface temperature-humidity dynamics. The methodology investigates ground subsidence in the Wudaoliang section of the Qinghai-Tibet Highway using 15 Sentinel-1 SAR scenes acquired between July 2015 and July 2016. Land surface temperature (LST) was retrieved through data from the Landsat ETM+ and Landsat 8 Thermal Infrared Sensor (TIRS), with emissivity estimation enhanced by spectral mixture analysis. Soil moisture dynamics across seasonal cycles in the permafrost-affected corridor were analyzed using Sentinel-1A Interferometric Wide swath (IW) Ground Range Detected (GRD) data. Validation results demonstrated that the integrated methodology achieved millimeter-level accuracy. A significant positive correlation was observed between subsidence rates and soil moisture. These findings highlight the critical role of hydrological variations in permafrost degradation and provide a robust multi-sensor framework for infrastructure stability assessment in cryospheric environments.