| Citation: | ZHANG Wei，CHEN Hong，JI Chengliang，et al. Landslide susceptibility assessment in the alpine and canyon areas on the basis of ascending and descending InSAR data[J]. Bulletin of Geological Science and Technology，2025，44（2）：1-10 doi: 10.19509/j.cnki.dzkq.tb20230560
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In recent years, Interferometric Synthetic Aperture Radar (InSAR) data, which reflect surface deformation, have increasingly been integrated into landslide susceptibility assessments. However, previous studies have not adequately addressed the variability in SAR images, particularly in alpine and canyon regions where the imaging characteristics of InSAR ascending and descending passes differ significantly, leading to substantial errors in surface deformation measurements.
This study selected the reservoir area of Xiangbiling Hydropower Station as the research site. After conducting a correlation analysis of influencing factors, 11 influencing factors and InSAR deformation data pertinent to landslides in alpine and canyon areas were chosen for landslide susceptibility evaluation.
Comparisons between using different deformation datasets revealed that incorporating sparse ascending-pass data from sampling points decreases the accuracy of landslide susceptibility assessment. Conversely, utilizing descending-pass SAR data, which includes a higher density of sampling points, improved the accuracy by 2.7% (
The inclusion of InSAR deformation data as a influencing factor in landslide susceptibility assessment significantly influences the evaluation outcomes. Therefore, it is crucial to select appropriate InSAR deformation data to enhance the accuracy of susceptibility assessments.
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