Is there enough detail to repeat the experiments?
Methodology
2.3.1 Time series InSAR 
We selected SAR images of July 15, 2008, June 14, 2020, and June 7, 2020 as reference images for the XXX and ZXXX ascending and descending datasets, respectively. Then, other SAR images were registered and resampled to the reference image's spatial reference system. Thresholds were set for time and spatial baselines, with 1000 days and 2000 meters for the XXX dataset and 48 days and 100 meters for the ZXXX dataset. On this basis, multi-looking interferograms were generated with 2×10 and 8×2 in the range×azimuth directions, respectively (Figure S1). The NAME_1 filter with a 32×32 window was used to enhance the coherence of InSAR time-series analysis. Then, the two-dimensional minimum-cost flow method was used for phase unwrapping, and a coherence threshold of 0.00 was used to mask noise pixels (such as those in water or dense vegetation areas). Finally, a bilinear model was used to estimate the long-wavelength signal caused by inaccurate orbit information through the unwrapped interferograms. 
The time-series displacement in the Line-of-Sight (LOS) direction was extracted from the unwrapped interferograms through the coherence-based SBAS method. This method uses coherence as a weight to invert each pixel, preserving low coherence pixels while reducing noise weight and generating a coherent spatial signal with dense pixels. Additionally, the residual phase of the DEM was retrieved through the least-squares method, utilizing the linear relationship between the terrain residual and the baseline. Furthermore, atmospheric delays were eliminated by linearly fitting the elevation height and the unwrapped phase. Finally, the displacement velocity was obtained from the linear regression of the solved displacement time series after removing various noise sources.
2.3.2 Two-dimensional deformation inversion
The deformation obtained from InSAR is the projection of the three-dimensional surface deformation in the satellite LOS direction, i.e.,
dU, dE, and dN correspond to the vertical, eastward, and north directions displacements. α and θ are the satellite's heading and incidence angles, respectively. dLOS and δLOS represent the observed LOS displacement and error.
In mountainous areas, the terrain is characterized by significant undulations or fluctuations, and the displacements of the same target, monitored by the ascending and descending track datasets, may not be consistent, thereby challenging the understanding of the InSAR measurement