Spatio-temporal InSAR for bridge monitoring: Integrating physics-based models with persistent scatterer interferometry

This work presents a novel spatio-temporal InSAR (ST-InSAR) framework that integrates physics-based structural models into persistent scatterer interferometry (PSI) for bridge monitoring. The proposed approach mitigates the limitations of conventional PSI in civil infrastructure applications, namely large displacements that exceed the ambiguity limits, and absence of correlation with air temperature. ST-InSAR exploits spatial correlation among PSs to jointly estimate the displacements across the entire structure. The framework is applied to the Colle Isarco Viaduct (Italy), where its performance is compared with conventional multitemporal PSI, using benchmark topographic measurements. Results show that ST-InSAR detects structural displacements with an accuracy on the order of 2 mm, even where PSI fails. Additionally, temporal coherence increases from approximately 0.08 (PSI) to over 0.9. Finally, the framework enables the estimation of the temperature gradient across the bridge deck with an accuracy better than 1°C, providing information about the structural thermal state beyond displacement monitoring.

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Publication Details

Journal
Structural Health Monitoring
Published
2026-05-30
DOI
https://doi.org/10.1177/14759217261453023
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
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article

Spatio-temporal InSAR for bridge monitoring: Integrating physics-based models with persistent scatterer interferometry

Daniele Zonta, Enrico Tubaldi, Daniele Perissin, Alfredo Rocca et al.
Structural Health Monitoring
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Spatio-temporal InSAR for bridge monitoring: Integrating physics-based models with persistent scatterer interferometry

Daniele Zonta, Enrico Tubaldi, Daniele Perissin, Alfredo Rocca, Alessandro Lotti, Stefano Zorzi
article en

Abstract

This work presents a novel spatio-temporal InSAR (ST-InSAR) framework that integrates physics-based structural models into persistent scatterer interferometry (PSI) for bridge monitoring. The proposed approach mitigates the limitations of conventional PSI in civil infrastructure applications, namely large displacements that exceed the ambiguity limits, and absence of correlation with air temperature. ST-InSAR exploits spatial correlation among PSs to jointly estimate the displacements across the entire structure. The framework is applied to the Colle Isarco Viaduct (Italy), where its performance is compared with conventional multitemporal PSI, using benchmark topographic measurements. Results show that ST-InSAR detects structural displacements with an accuracy on the order of 2 mm, even where PSI fails. Additionally, temporal coherence increases from approximately 0.08 (PSI) to over 0.9. Finally, the framework enables the estimation of the temperature gradient across the bridge deck with an accuracy better than 1°C, providing information about the structural thermal state beyond displacement monitoring.

Structural Health Monitoring
University of Strathclyde (GB), University of Trento (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Synthetic Aperture Radar (SAR) Applications and Techniques
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Spatio-temporal InSAR for bridge monitoring: Integrating physics-based models with persistent scatterer interferometry — Daniele Zonta, Enrico Tubaldi, et al. · Structural Health Monitoring (2026) | TGRS Research Map | TGRS