Comparative Analysis of Tropospheric Correction Methods for Ground Deformation Monitoring over Mining Area with DS-InSAR

作者：Yajie Meng, Feng Zhao, Yunjia Wang, Liyong Li, B. S. Hu, Xin Xu, Rui Wang, Yifei Wei, Kesheng Huang, Ning Chen, Shengfang Bu, Lin Zhu · 发表于：Remote Sensing · 年份：2025 · DOI：10.3390/rs17233811 · 被引用次数：3 · 研究领域：Synthetic Aperture Radar (SAR) Applications and Techniques、Soil Moisture and Remote Sensing、Cryospheric studies and observations

In recent years, differential synthetic aperture radar interferometry (DInSAR) has been widely used to monitor ground deformation induced by mineral resource exploitation. Compared with conventional DInSAR, InSAR time series (TS-InSAR) techniques offer significantly improved monitoring accuracy. However, their results still remain strongly influenced by atmospheric delays. To address this and discuss the applicability of tropospheric delay correction methods over mining areas, this study applied multiple correction strategies to distributed scatterer InSAR (DS-InSAR), including the Linear, ERA5, GACOS, spatio-temporal filtering method, and their adaptive weighted fusion approach. Meanwhile, an improved Common Scene Stacking (CSS) InSAR tropospheric delay correction method has been proposed. These methods’ performance have been evaluated by the quantitative comparisons of the corrected interferometric phases and by in situ measurements. The results indicated that the adaptive fusion method outperformed any individual model included, where spatio-temporal filtering should be applied with caution, as it may undermine part of the deformation signal. The effectiveness of ERA5 and GACOS is limited due to their resolution mismatch with that of the SAR images. On the other hand, the improved CSS method achieved the best results over the study area, with an average reduction of 32.22% in the RMSE of the interferometric phase, resulting in an RMSE below 8 mm on average and as low as 5 ...