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February 12, 2026Remote SensingOpen Access

Ultra-Long-Term Time-Series Subsidence Estimation for Urban Area Based on Combined Interferometric Subset Stacking and Data Fusion Algorithm (ISSDF)

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Authors

XXXuemin XingHLHui LiGZGuanfeng Zheng

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Overview

Demonstrates a new method for estimating ultra-long-term urban subsidence, indicating enhanced accuracy through data fusion.

Key Points

  • The aim is to develop a method for accurately estimating urban subsidence over ultra-long periods using InSAR technology.
  • Combining Interferometric Subset Stacking (ISS) with data fusion techniques.
  • Processing TerraSAR-X and Sentinel-1A datasets through differential interferometry.
  • Utilizing bilinear interpolation for spatial resolution unification.
  • Applying joint modeling for subsidence velocity estimation.
  • Performing temporal integration for a unified spatiotemporal deformation sequence.
  • Generated a 12-year subsidence time series (2012-2024) for the Beijing region.
  • Observed maximum cumulative subsidence of 1100 mm associated with groundwater extraction.
  • Achieved 67.7% atmospheric reduction for Sentinel-1A and 24.1% for TerraSAR-X.
  • Validated by GNSS data with strong correlation (0.94) and low RMSE (6.3 mm).
  • Improved accuracy by 15-20% over conventional atmospheric correction methods.

Cite This Study

Xing et al. (2026) studied this question.

synapsesocial.com/papers/698d6edc5be6419ac0d54b19https://doi.org/10.3390/rs18040565
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