Figure 3 - available via license: Creative Commons Attribution 4.0 International
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Location map shown on a shaded relief of the SRTM DEM with the coverage of the used SAR images. Red and blue vectors respectively represent the horizontal GPS velocities from Wang and Shen (2020) and Diao et al. (2019), which will be used in subsequent comparison with our InSARderived velocities. Red star represents the GPS station that will be used to integrate different GPS groups into a consistent frame.
Source publication
It is challenging to precisely measure the slow interseismic crustal deformation rate from SAR data. The long-wavelength orbital errors, owing to the uncertainties in satellite orbit vectors, commonly exist in SAR interferograms, which degrade the precision of the InSAR products and become the main barrier of extracting interseismic tectonic deform...
Contexts in source publication
Context 1
... this study, we use SAR images from both Sentinel-1 ascending (T99) and descending (T106) tracks to investigate the surface deformation rates around the Tuosuo Lake segment of the Kunlun fault. The spatial coverage of the utilized radar data is shown in Figure 3. The acquisition times of the used data are from October 2014 to May 2021. ...
Context 2
... the strike-slip Kunlun fault (fault-normal motion can be neglected), the LOS observations from ascending and descending tracks can be decomposed into the faultparallel and vertical components: However, the variation of strikes along the Tuosuo Lake segment is significant. Thus, we divide the LOS velocity field into three patches (marked by dashed rectangles in Figure 5 and Figure S3), and the average strike angle of each patch is 99°, 110° and 120° from west to east. All patches share the width of 170 km, extending for 85 km on either side of the Kunlun fault. ...
Context 3
... detailed description of this process can be found in Text S1. The pixel-by-pixel standard deviation of the velocity maps from the ascending and descending tracks are shown in Figures S3a and S3b, which suggest that the uncertainties of the two tracks are tiny, with a peak value of 0.16 mm/yr and 0.12 mm/yr, respectively. And the derived uncertainties of fault-parallel and vertical velocity fields are mapped in Figures S3c and S3d. ...
Context 4
... pixel-by-pixel standard deviation of the velocity maps from the ascending and descending tracks are shown in Figures S3a and S3b, which suggest that the uncertainties of the two tracks are tiny, with a peak value of 0.16 mm/yr and 0.12 mm/yr, respectively. And the derived uncertainties of fault-parallel and vertical velocity fields are mapped in Figures S3c and S3d. The maximum uncertainty of the fault-parallel and vertical deformation components is less than 0.3 mm/yr, suggesting the high precision of our derived velocity fields. ...
Context 5
... GPS data utilized in this study were obtained from two sources: the first group was collected by Wang and Shen (2020), while the second group was collected by Diao et al. (2019). The red arrow vectors shown in Figure 3 represent the first group of GPS velocities, which are widely dispersed, while the blue arrow vectors represent the second group of GPS velocities, which are mainly concentrated along a single profile. Wang and Shen (2020) generated a comprehensive GPS velocity field for the entire Chinese mainland, incorporating both continuous and campaign stations, resulting in a rich dataset. ...
Context 6
... et al. (2019) mainly utilized campaign stations in their analysis. Hence, a reference point was chosen (marked by a red star in Figure 3) to align the second group of GPS data with the reference frame of the first group. The spatial relationship between the GPS data and the coverage of the ascending and descending InSAR tracks is also illustrated in Figure 3. ...
Context 7
... a reference point was chosen (marked by a red star in Figure 3) to align the second group of GPS data with the reference frame of the first group. The spatial relationship between the GPS data and the coverage of the ascending and descending InSAR tracks is also illustrated in Figure 3. To facilitate comparison, we should convert the GPS horizontal velocity to the LOS direction (LOSGPS) based on the satellite geometry parameters, and the result is shown in Figure7. ...
