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Adaptive Terrain Gradient-Aspect-Constrained 3-D Displacement Retrieval of Mountain Slopes Using Ascending and Descending Time-Series InSAR
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DOI：10.1109/lgrs.2026.3712529.png)
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Abstract
En 中文
Interferometric synthetic aperture radar (InSAR)-based 3-D displacement retrieval of gravity-driven slope motions in mountainous regions is commonly constrained by surface-parallel flow (SPF) or aspect-parallel flow (APF) assumptions. However, the empirical use of a single constraint may introduce biases into the reconstructed displacement field. To address this limitation, this study proposes an adaptive terrain gradient-aspect-constrained 3-D displacement inversion method that integrates ascending and descending time-series InSAR measurements with both SPF and APF constraints. Variance component estimation (VCE) is introduced to adaptively determine the relative weights of the observation and constraint equations, which are then solved using weighted least-squares. The proposed method is applied to a landslide and a rock glacier in the Swiss Alps and validated against three GNSS time series. The reconstructed displacements agree well with the GNSS observations, with mean root-mean-square errors (RMSEs) of 4.63, 5.43, 6.10, and 5.60 mm for the East–West, North–South, vertical, and downslope components, respectively. This study provides a robust methodological framework for characterizing the 3-D evolution of complex surface processes in mountainous environments.
Keywords:
3-D displacement inversion
aspect-parallel flow (APF)
gravity-driven slope movement
surface-parallel flow (SPF)
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4.4
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486
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0
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