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May 22, 2024SustainabilityOpen Access

An Evaluation of Tropospheric Correction Models for InSAR in Ground Deformation Monitoring: A Case Study in Zhejiang Province, China

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Authors

YYYang YuQLQingfang LiZXZihan Xu

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Overview

Comparative analysis reveals phase-based linear models best reduce tropospheric delay in radar interferometry, highlighting consistent performance across all seasonal conditions.

Key Points

  • The phase-based linear model outperforms other tropospheric correction models by at least 6.6%, maintaining robust accuracy across changing seasonal atmospheric conditions.
  • Assessment using persistent scatterer insar processes twenty-six Sentinel-1A images across Shaoxing to calculate the detrending standard deviation of all scatterer points.
  • Highlights that optimal atmospheric mitigation varies by season, supporting improved ground deformation monitoring where numerical weather models like GACOS show variability.

Cite This Study

Yu et al. (2024) studied this question.

synapsesocial.com/papers/68e68fb4b6db643587616c12https://doi.org/10.3390/su16114349
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