SPATRA Rail Webinar: Presentations and Recording Now Available

SPATRA webinar on Rail Workstream

The SPATRA project recently held a webinar focusing on the Rail workstream, showcasing the potential of satellite-based data and AI methods for rail infrastructure monitoring and safety.

The session featured presentations from:

  • Alina Klapper, OHB Digital Services GmbH, on Using Satellite-Based EO Data and Machine Learning to Predict Rail Track Temperatures

  • Milan Banić, Faculty of Mechanical Engineering, University of Niš, on Machine-Learning-Based Prediction of Rail Track Buckling Using Temperature Data Derived from Satellite Earth Observation

As climate-related temperature extremes become more frequent, rail networks face increased risks of track buckling and related disruptions. The SPATRA rail use case demonstrates how combining Earth Observation data (from Sentinel-3, MODIS, and Copernicus) with advanced machine learning models can improve temperature forecasting and support buckling risk assessment at high spatial resolution.

The approach provides a scalable and predictive tool that supports rail operators in planning maintenance, preventing delays, and enhancing overall safety.

The presentation slides and full recording of the webinar are now available on the links below:

👉 Download the presentation slides (PDF)
🎥 Watch the recording

These materials provide practical insights into integrating space-based data and AI into rail monitoring and safety systems, and are openly available for anyone interested in the topic.