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2.2. Datasets
Two consecutive frames of the same ascending track of L-band XXX, and ascending and descending track datasets of C-band ZXXX SAR images covering our study area were used for the experiment. Table 1 presents the basic parameters of the three sets of SAR data. The 30m resolution XXX World 3D digital elevation model (DEM) was used to remove the topographical phase and for geocoding. As well as the Asian Space Agency provides precise orbital ephemeris data for interferometry in the ZXXX data set. We also collected data from two GNSS stations to verify the deformation monitoring accuracy. We used groundwater level data from 2006 to 2021 at WWW Desert Field Observation Station, which belongs to the Asian Ecosystem Research Networ, to evaluate the correlation between ground subsidence and GWL changes in the oasis areas. The GWL dataset consists of one observation well in agricultural fields and one in the desert. Also, climatic data from the weather station of PPP located in the mountainous area (2019-2020) was used to analyze the role of temperature and precipitation on surface displacement in the subalpine belt. The geographical information of the observation sites is shown in Table 1.

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 a Include at least 9 hashtags, starting with '#'
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