Skip to main navigation Skip to search Skip to main content

Global Geo-hazard Risk Assessment of Long-Span Bridges Enhanced with InSAR Availability

  • NASA Jet Propulsion Laboratory
  • University of Houston
  • Cullen College of Engineering
  • Delft University of Technology (TU Delft)

Research output: Contribution to journalArticlepeer-review

12   Link opens in a new tab Citations (SciVal)

Abstract

While a geo-hazard risk assessment of bridges is crucial for achieving the United Nations’ Sustainable Development Goals, state-of-the-art methods for evaluation of risk neglect the temporal dimension of structural vulnerability, overlooking how monitoring systems like Structural Health Monitoring sensors and Multi-Temporal Interferometric Synthetic Aperture Radar can continuously track bridge conditions. Moreover, despite Structural Health Monitoring systems being sparsely installed, no research has quantified the global potential of this spaceborne radar-based technique as a complementary monitoring solution for bridges. This study introduces a method that integrates monitoring availability into structural vulnerability assessments and evaluates the global risk of long-span bridges affected by subsidence and landslides. Findings revealed that while fewer than 20% of bridges have Structural Health Monitoring systems, spaceborne monitoring could provide monitoring for over 60% of structures, leveraging Sentinel-1’s global coverage. Incorporating this satellite remote sensing approach into routine assessments could decrease the number of bridges classified as high-risk by one-third. Moreover, half of the remaining high-risk structures could benefit from spaceborne monitoring, highlighting the technique’s potential to enhance structural safety and resilience, especially in economically disadvantaged regions.

Original languageEnglish
Article number9048
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 13 Oct 2025

Data Availability Statement

The datasets used in this study are publicly available from the following sources: long-term coherence data were obtained from the Sentinel-1 Global Coherence and Backscatter dataset available at https://registry.opendata.aws/ebd-sentinel-1-global-coherence-backscatter/; Sentinel-1 data availability was derived from acquisition plans available at https://sentinels.copernicus.eu/web/sentinel/copernicus/sentinel-1/acquisition-plans; Global Landslide Hazard Map is available at https://datacatalog.worldbank.org/dataset/global-landslide-hazard-map; and Potential Global Subsidence data for 2040 are available at https://figshare.com/articles/dataset/Global_Subsidence_Maps/13312070/1. The long-span bridges database is available upon request from the authors of ref. 30 (https://doi.org/10.1080/15732479.2019.1639773). Map data are copyrighted by OpenStreetMap contributors and available from https://www.openstreetmap.org. Pre-processed and normalised versions of the landslide and subsidence datasets, processed Sentinel-1 availability shapefiles, regional Persistent Scatterer predictions, risk assessment results, and source data for all figures are archived in the Zenodo repository associated with this paper (https://doi.org/10.5281/zenodo.15797029). Source data are provided with this paper.

Acknowledgements

We thank Colin Caprani for providing the long-span bridge database used in this study.

Funding

We thank Colin Caprani for providing the long-span bridge database used in this study. This publication is part of the Vidi project InStruct, project number 18912, financed by the Dutch Research Council (NWO) (GG). Part of this work was performed at the University of Houston under a contract with the Commercial Smallsat Data Scientific Analysis Program of NASA (NNH22ZDA001N-CSDSA) and the NASA Decadal Survey Incubation Program: Science and Technology (NNH21ZDA001N-DSI) (PM).

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
University of Houston
National Aeronautics and Space AdministrationNNH22ZDA001N-CSDSA
Science and TechnologyNNH21ZDA001N-DSI

    Fingerprint

    Dive into the research topics of 'Global Geo-hazard Risk Assessment of Long-Span Bridges Enhanced with InSAR Availability'. Together they form a unique fingerprint.

    Cite this