Ground deformation monitoring and influence factors analysis of the Gaizi valley near the Karakoram highway based on SBAS-InSAR technology

doi:10.13474/j.cnki.11-2246.2025.0806

Abstract

Abstract: The Karakoram highway (KKH) in China and Pakistan has complex geological conditions, peculiar and variable climate, and landslide hazards are frequent along the route, so the investigation and monitoring study of landslide hazards in this region is of great importance for disaster prevention and mitigation. In this study, the small baseline subsets InSAR (SBAS-InSAR) technique is used in combination with optical remote sensing images to monitor the surface deformation and analyze the time-series deformation characteristics of the Gaizi valley section of the China-Pakistan highway.Based on 64 scenes of Sentinel-1 image data covering the study area, the SBAS-InSAR technique is used to obtain deformation distribution maps and time-series deformation features of the study area over the time span. The deformation rate values of the radar line of sight (LOS) in the study area from March 2017 to August 2022 ranged from -33.5 to 11.6 mm/a, with a maximum cumulative deformation of 179.4 mm. On this foundation, the accuracy of the deformation detection results is verified by combining the optical remote sensing images of four typical landslide areas in the region and previous research results, demonstrating that SBAS-InSAR technology is an effective tool for deformation monitoring of landslide hazards. The time series deformation curves are analyzed by using monthly average precipitation, monthly average temperature, monthly maximum temperature, monthly minimum temperature, surface soil moisture data, glacier distribution data, earthquake catalogue, IGBP land cover data and so on. Furthermore, the influence of different factors on the surface deformation of landslides in the study area is explored to provide a scientific basis for early identification and prevention of disasters.

Key words: Karakoram highway, SBAS-InSAR, deformation monitoring, landslide

CLC Number:

P237

MO Dandan, HUO Jiuyuan. Ground deformation monitoring and influence factors analysis of the Gaizi valley near the Karakoram highway based on SBAS-InSAR technology[J]. Bulletin of Surveying and Mapping, 2025, 0(8): 32-42.

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