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<p>This study presents a comparative analysis of phase filtering strategies within a Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) workflow, applied to- estimate earthquake-induced ground deformation in Mandalay, Myanmar, following the 7.7–7.9 magnitude earthquake on 28th March 2025. Sentinel-1 SAR data and high-resolution Planet Scope optical imagery were integrated to monitor surface displacement and assess Land Use/Land Cover (LULC) changes. The PSInSAR time-series analysis detected significant cumulative displacement up to 30&#xa0;mm, indicating both uplift and subsidence patterns across the study area. The study critically compares the performance of the Modified Goldstein and Boxcar phase filters for noise suppression and phase preservation in deformation mapping. Results demonstrate that the Modified Goldstein filter outperforms the Boxcar filter by providing sharper phase edges, higher spatial fidelity, and improved coherence in low-coherence zones. This enhanced displacement mapping, enabled by the superior filter, allowed for a more precise correlation with, LULC classification revealed considerable reductions in built-up areas and a corresponding increase in wasteland, aligning spatially with the observed deformation zones. The combined analysis underscores that filter selection is critical for maximizing the effectiveness of multi-sensor fusion for post-seismic deformation mapping and urban damage assessment. This work also emphasizes the importance of filter selection in enhancing PSInSAR displacement accuracy in complex urban environments. The proposed methodology can serve as a valuable framework for rapid disaster assessment and urban resilience planning in earthquake-prone regions.</p>

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Phase filtering strategies in PSInSAR for rapid earthquake impact assessment: Insights from the 2025 Mandalay event

  • 期刊论文

  • 发表日期：

    2025年12月27日

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  • Roshan Mahto,
  • Saloni Bauddh,
  • Akshar Tripathi,
  • Biswajeet Pradhan

摘要

This study presents a comparative analysis of phase filtering strategies within a Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) workflow, applied to- estimate earthquake-induced ground deformation in Mandalay, Myanmar, following the 7.7–7.9 magnitude earthquake on 28th March 2025. Sentinel-1 SAR data and high-resolution Planet Scope optical imagery were integrated to monitor surface displacement and assess Land Use/Land Cover (LULC) changes. The PSInSAR time-series analysis detected significant cumulative displacement up to 30 mm, indicating both uplift and subsidence patterns across the study area. The study critically compares the performance of the Modified Goldstein and Boxcar phase filters for noise suppression and phase preservation in deformation mapping. Results demonstrate that the Modified Goldstein filter outperforms the Boxcar filter by providing sharper phase edges, higher spatial fidelity, and improved coherence in low-coherence zones. This enhanced displacement mapping, enabled by the superior filter, allowed for a more precise correlation with, LULC classification revealed considerable reductions in built-up areas and a corresponding increase in wasteland, aligning spatially with the observed deformation zones. The combined analysis underscores that filter selection is critical for maximizing the effectiveness of multi-sensor fusion for post-seismic deformation mapping and urban damage assessment. This work also emphasizes the importance of filter selection in enhancing PSInSAR displacement accuracy in complex urban environments. The proposed methodology can serve as a valuable framework for rapid disaster assessment and urban resilience planning in earthquake-prone regions.