“…Satellite‐based interferometric synthetic aperture radar (InSAR) techniques are increasingly being used to monitor slow‐moving landslides (e.g., Bekaert et al., 2020; Schlögel et al., 2015; Sun et al., 2015; Y. Xu et al., 2022), over large areas (e.g., ∼250 km) with high spatial resolution (e.g., ∼10 m). However, it is still challenging to use current InSAR techniques to detect earthquake‐triggered slow‐moving landslides because of at least three reasons: (a) the locations of these landslides are often unknown and their distributions can cover large areas (e.g., up to 100 km away from the epicenter); (b) the weak (e.g., several centimeters per year) and local (e.g., ∼1 km) landslide deformations would be largely contaminated by atmospheric delays (e.g., Cao et al., 2021; Z. Li et al., 2019) and post‐seismic deformation; and (c) possible unwrapping errors mainly caused by decorrelation noises particularly over dense vegetation regions (e.g., Yunjun et al., 2019), usually cause large uncertainties or even wrong values in InSAR‐derived time‐series results (e.g., velocity map or time‐series displacements), especially when the pixel of interest is far away from the reference pixel due to the spatially propagated characteristics of the unwrap errors.…”