SafeBridge: open-source software to translate InSAR time series into actionable damage indicators for infrastructure monitoring

In the geosciences, the growing availability of multi-temporal satellite products has created new opportunities for monitoring the condition of the built environment. However, transforming large volumes of time series data into actionable information for decision-making remains a major challenge. This difficulty is particularly acute for infrastructure managers who must combine remotely sensed observations with geospatial network inventories to evaluate the performance and deterioration of existing assets. To address this gap, we developed the SafeBridge software package. 
SafeBridge supports the derivation of bridge damage indicators by processing Multi-Temporal Interferometric Synthetic Aperture Radar (InSAR) time series through geospatial operations tailored to individual bridge assets within a network. The package offers a fast and efficient framework for computing structural health indicators, featuring workflows that can run on either high-performance computing (HPC) systems or standard, readily available hardware when HPC resources are unavailable. 
To lower the barriers for new users and facilitate communication of reproducible methods, SafeBridge includes documentation, an example-driven tutorial, synthetic demonstration datasets, and automated report generation. We describe in detail an end-to-end workflow that incorporates infrastructure geometries and MT-InSAR time series, performs topology-aware geospatial processing, and produces comprehensible damage indicators and summary outputs appropriate for screening, prioritisation, and downstream integration on transportation assets and networks. 
SafeBridge package provides a practical route from research code to reusable software, while maintaining scientific transparency and reproducibility. We contribute reusable interoperable software building blocks for infrastructure-focused Earth Observation applications and highlight best practices for user-centric research software dissemination by making this tool available under open licenses with clear APIs and useful examples.