Abstract
Many potential landslides occured in the Baihetan reservoir area before impoundment. After impoundment, these landslides may still slide, affecting the safe operation of the reservoir area (e.g., causing barrier lakes and floods). Identifying the locations of landslides and their distribution pattern has attracted attention in China and globally. In addition, due to the rolling terrain of the reservoir area, synthetic aperture radar (SAR) imaging will affect the interactive synthetic aperture radar (InSAR) deformation results. Only by obtaining effective deformation information can active landslides be accurately identified. Therefore, the banks of the Hulukou Xiangbiling section of the Baihetan reservoir area before impoundment in the Jinsha River Basin were studied in this paper. Using terrain data and the satellite parameters from Sentinel-1A ascending and descending orbits and ALOS PALSAR ascending orbit, the line-of-sight visibility was quantitatively analyzed, and an analysis method was proposed. Based on the SAR data visibility analysis, the small baseline subset (SBAS) technique was used to process the SAR data to acquire effective deformation. InSAR deformation data was combined with Google Earth imagery to identify 25 active landslides. After field verification, 21 active landslides (14 new) were determined. Most of the active landslides are controlled by faults, and the strata of the other landslides are relatively weak. This InSAR analysis method based on SAR data visibility can provide a reference for identifying and analyzing active landslides in other complicated terrain.
Highlights
IntroductionDuring development of the reservoir area, due to the long-term submersion, water level rise and fall, channel erosion, and wetting and drying cycles, the bank slopes slid and deformed to some degree [1,2,3,4,5]
synthetic aperture radar (SAR) satellites satellites in in the the study study area area was was obtained obtained based based on the slope gradient, aspect, and incidence angle of the satellite along the direction on the slope gradient, aspect, and incidence angle of the satellite along the direction of of the the LOS (Figures 12–14)
When the area of geometric distortion generated by different SAR data in the study area was masked, ineffective points of deformation did not appear in the final processing results
Summary
During development of the reservoir area, due to the long-term submersion, water level rise and fall, channel erosion, and wetting and drying cycles, the bank slopes slid and deformed to some degree [1,2,3,4,5]. The banks of the Baihetan reservoir area from Hulukou to Xiangbiling generate a strong tectonic force, which will result in high landslide risks after impoundment. This is a key reservoir segment of the Baihetan reservoir area where there are many residential areas, and investigating the hidden dangers of landslides in this segment is very important. There is an urgent need for an efficient and feasible method to determine the locations of landslides and analyze their distribution pattern
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
