Monitoring large-scale surface deformation using satellite radar data is crucial for advancing regional and continental-scale geodynamic observations. However, challenges arise when unifying deformation data from different tracks of the same satellite, primarily due to inconsistencies in reference baselines and variations in radar viewing angles. This study proposes an interferometric synthetic aperture radar (InSAR) deformation datum connection method with a fixed line-of-sight (LOS) direction. The method combines Bayesian inference with a Markov random field model and integrates InSAR and global navigation satellite system deformation measurements to unify deformation datums across multi-track SAR interferometric results using only a single orbit direction (ascending-only or descending-only), without requiring both ascending and descending data sets. In the simulation experiments, the root mean square error (RMSE) of the LOS displacement rate difference in the overlapping regions of adjacent-track SAR images decreased by 99%. Applying the developed methodology for InSAR observations of the 2023 Mw 7.8 Kahramanmaraş earthquake in Türkiye, the RMSE of displacement differences in the overlapping regions of adjacent tracks was reduced from 98 to 34 mm, demonstrating the effectiveness of the proposed unified datum approach.
Bian et al. (Thu,) studied this question.