Identifying the Potential Landslides Along Duba Highway (Guangxi, China) in Dense Vegetation Environment by Time Series InSAR

The geological disasters damage along the highway caused by landslides have led to huge losses to public property and formed a serious threat to people's life and safety. Therefore, early identifying the potential landslides and further efficiently monitoring the deformation for the targeted landslides has become a crucial task and meaningful job. Nowadays, there are few research cases focusing on the potential landslides along the highway especially in the mountainous areas with the high density of vegetation coverage. This paper takes the Duan-Bama (Duba) highway in Guangxi Province as an example, and utilizes Sentinel-1 data for identifying the potential landslides through the Small Baseline Subset Interferometry Synthetic Aperture Radar (SBAS-InSAR) technology. The identified results show that 7 obvious deformation areas within 500 m range on both sides of the Duba highway were successfully detected, the maximum annual average deformation rate reached −126.36 mm/year, and the maximum cumulative displacement reached up to −61.52 mm, which may cause serious damage to the operation of the highway. This study provides a reference case for identifying the potential landslides along the highway in mountainous areas with the high density of vegetation coverage.