Chengdai Zi's scientific contributions

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Publications (1)


Figure 1. (a) Simulated LOS velocity for the ascending InSAR track along a bounding fault with a locking depth of 10.5 km and a slip rate of 9.5 mm/yr. Cold colors mean the increased slant distances from the satellite, and warm ones represent the range decreases. (b) Calculated LOS velocity map using the corrected interferograms. (c) Differences between the estimated velocities and true values. (d) Histogram of the differences in (c).
Figure 3. 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.
Figure 4. Performance of the proposed orbital correction method in real ascending/descending SAR data analysis. The first column displays the differential interferograms before the orbital correction, second column shows the estimated orbital surfaces, and third column presents the corrected interferograms after reducing the orbital ramps.
Figure 7. Comparison between InSAR-derived LOS and LOS projection of GPS-derived horizontal velocities along ascending (a) and descending (b) tracks. The green and red dots are respectively related with the GPS observations from the studies by Wang and Shen (2020) and Diao et al. (2019).
An Improved Method of Mitigating Orbital Errors in Multiple SAR Interferometric Pairs Analysis for Interseismic Deformation Measurement: Application to the Tuosuo Lake Segment of the Kunlun Fault
  • Preprint
  • File available

May 2024

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21 Reads

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Yinghui Yang

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Qiang Chen

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Chengdai Zi

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 deformation. In this study, we propose a novel temporal network orbital correction method that is able to isolate the far-fault tectonic deformation from the mixed long-wavelength signals based on its spatio-temporal characteristic. The proposed approach is straightforward in methodology but could effectively separate the subtle tectonic deformation from glaring orbital errors without ancillary data. Both synthetic data and real Sentinel-1 SAR images are used to validate the reliability and effectiveness of this method. The derived InSAR velocity fields clearly present the predominant left-lateral strike-slip motions of the Tuosuo Lake segment of the Kunlun fault in western China. The fault-parallel velocity differences of 5-6 mm/yr across the fault between areas ~50 km away from the fault trace are addressed. The proposed method presents significantly different performance from traditional quadratic approximate method in the far-field. Through the implementation of the proposed method, the RMSE between the LOSGPS and our derived descending InSAR LOS is reduced to less than one-third of the previous study, suggesting its potential to enhance the availability of InSAR technology for interseismic crustal deformation measurement.

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