| Citation: | MIAO Haibo，MA Chuang，YANG Bingying，et al. Dynamic assessment of landslide susceptibility considering the InSAR deformation influenced by Typhoon Megi: A case study of Songyang Country in Zhejiang Province[J]. Bulletin of Geological Science and Technology，2025，44（3）：228-241 doi: 10.19509/j.cnki.dzkq.tb20240500
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Landslide susceptibility assessment (LSA) plays a vital role in predicting landslide occurrence and potential risks. However, static susceptibility maps are limited in reliability their failure to account for dynamic evolution of landslides. This study aims to enhance landslide susceptibility assessment by incorporating dynamic factors through Sentinel-1A SAR data, which is derived from Songyang County, Zhejiang Province: A resion impacted by Typhoon Megi in 2016.
The methodology involved three key steps. First, D-InSAR technology was used to measure ground deformation before and after Typhoon Megi. A deformation rate of −20 mm/a was set as the threshold to augment the landslide inventory. Second, SBAS-InSAR technology was applied to obtain ground deformation data from November 22, 2015, to March 4, 2017. Third, nine static factors, including terrain, geology, hydrology, and human activities, were combined with vertical and line-of-sight (LOS) of InSAR ground deformation to produce a dynamic landslide susceptibility map using the MIV-BP neural network framework.
The inclusion of dynamic factors, particularly InSAR ground deformation, significantly improved the accuracy of LSA. When these factors were excluded, prediction accuracy decreased from 0.901 to 0.857. Areas with extremely low and low susceptibility were largely unaffected by Typhoon Megi, while regions with steep or elevated terrain experienced an increase in susceptibility, shifting from medium-high to extremely high susceptibility after the typhoon. The changes in the extremely high susceptibility areas closely aligned with the observed ground deformation from InSAR data.
The findings offer valuable insights for geological disaster prevention and mitigation in Songyang County and other regions facing similar extreme weather events in the future.
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