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December 11, 2025Geo-spatial Information ScienceOpen Access

GNSS-constrained InSAR correction for land subsidence mapping in Tianjin, China

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Authors

JCJ.-T. ChangWTWei Tang

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Overview

Study demonstrates improved accuracy of land subsidence mapping in Tianjin using GNSS with 84% of InSAR data, indicating benefits of multisource correction.

Key Points

  • To enhance InSAR deformation accuracy through integration with GNSS data and evaluate correction impacts.
  • Integrated GNSS and InSAR data
  • Corrected long-wavelength errors in Sentinel-1 interferograms
  • Compared corrected interferograms with traditional atmospheric correction methods
  • Evaluated accuracy impacts on phase, velocity, displacement, and seasonal signals.
  • Improved accuracy in 84% of processed interferograms
  • Maintained RMSE within millimeter-level for GNSS validation stations
  • Enhanced displacement accuracy by at least 80% with multiple GNSS stations
  • Notable reduction in land subsidence rates across Tianjin since 2016.

Cite This Study

Chang et al. (2025) studied this question.

synapsesocial.com/papers/69401b0d2d562116f28f7230https://doi.org/10.1080/10095020.2025.2591236
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Also Consider

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  1. 1Examining the effectiveness of tropospheric correction methods on improving InSAR displacement measurements2024
  2. 2An Evaluation of Tropospheric Correction Models for InSAR in Ground Deformation Monitoring: A Case Study in Zhejiang Province, China2024
  3. 3Ultra-Long-Term Time-Series Subsidence Estimation for Urban Area Based on Combined Interferometric Subset Stacking and Data Fusion Algorithm (ISSDF)2026
  4. 4A Method by using predefined windows to improve the InSAR atmospheric correction model based on GNSS ZTD and its horizontal delay gradient2024 · 4 citations
  5. 5Two Decades of Land Subsidence in Tianjin, China, Measured with Multi-Temporal InSAR Observations2026