Integration of satellite monitoring data in a digital twin of transport infrastructure

In recent years, considerable attention has been directed towards the management of transportation infrastructure by private stakeholders and public institutions, aimed at adopting more effective and efficient technologies for monitoring and maintenance purposes. This research explores the integration of information derived from satellite data, proposing a novel methodology for managing multi-sensor survey data by integrating satellite remote sensing into a dynamic Digital Twin of an infrastructure. To achieve this, Synthetic Aperture Radar (SAR) data were processed using Multi-Temporal SAR Interferometry (MT-InSAR) to detect potential damages and changes in transport infrastructure and their surrounding environment.