The AI-RON MAN project aims to bring existing wildfire prediction technologies on an operative level, delivering a digital tool that can be directly used by infrastructure owners/managers to assess wildfire risks of their own strategic assets across territory. In particular, it carries out such predictions by using a built-in AI service forecast engine that leverages satellite EO product and meteorological data and is able to generate predictions one day ahead of the current date by using state of the art deep learning methods.

The current asset provides the application to monitor, trigger and manage a scheduled workflow that allows to check the availability of new input data and to continuously Thermal Anomalies predictions.