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An integrated InSAR and SPF-constrained workflow for 3D landslide displacement reconstruction
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DOI：10.1007/s10064-026-05224-3.png)
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Abstract
En 中文
Timely and effective landslide deformation monitoring is crucial for identifying potential landslide hazards and comprehending deformation mechanisms. However, the interferometric synthetic aperture radar (InSAR) technique typically provides only one-dimensional line-of-sight measurements, which can reveal potential landslide hazards but fail to accurately depict the actual spatial and temporal evolution of landslides. To address the aforementioned challenges, this study incorporates the surface-parallel flow assumption as priori information for high-precision 3D displacement time-series inversion. Initially, landslide hazards in the Laxiwa reservoir area were detected through the analysis of Sentinel-1 A data using the small baseline subset InSAR (SBAS-InSAR) technique, with the Guobu landslide exhibiting the most significant deformation. Subsequently, the inversion method was applied to reconstruct the three-dimensional displacement field of the Guobu landslide, and the relationship between precipitation and landslide deformation was explored through wavelet analysis. The results demonstrate that the east-west and vertical components dominated the displacement of the Guobu landslide, while the north-south component was smaller and primarily concentrated in the southern region characterized by a steep free face. Spatially, the landslide deformation gradually decreased from the crest to the toe, and the deformation rate slowed down in certain areas. These findings contribute to an in-depth insight into the spatiotemporal deformation patterns and evolution process of landslides, providing a scientific foundation for future engineering management and risk mitigation.
Keywords:
SBAS-InSAR
Landslide hazard identification
Three-dimensional displacement inversion
Displacement time series
Wavelet analysis
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