This research aims at designing and implementing an innovative system for the monitoring of hydrogeological and anthropogenic hazards, identification and, therefore, prevention of these, with the aim of ensuring efficiency and safety for traffic on the railway network. The designed system uses SAR and optical images in order to achieve these goals. With the same input data, this system is able to monitor and detect also other possible hazards like vegetation encroachment and the edification of new buildings as well as the structural extension of old ones along the lines and the infrastructure. The system will allow to plan different types of analysis not only to obtain periodic results but also to carry out �on-demand� analyses. This on-demand feature allows the operator is able to provide higher resolution data and set specific parameters for artificial vision algorithms, in order to obtain more precise and accurate results. In addition, the system is designed to be integrated with other applications that use different data sources, in order to create future real monitoring and early warning system. The results obtained from the first experiments [1] with the techniques and the satellites constellations data mentioned above are promising and motivated us to continue towards the implementation of a final system. Given the strong scalability of the implemented platform, it can be shared with other European infrastructure managers to try to reach a common standard.
