New developments for the digital platform integrating AI, weather data and historical wildfire records to support wildfire risk monitoring and analysis.
Important progress has been made in the development of the digital platform dedicated to wildfire risk monitoring and prediction, with new functionalities developed by Infordata Sistemi, project partner.
The solution integrates AI-based predictive models with the Fire Weather Index (FWI), combining weather data, historical wildfire records, and additional territorial elements to provide more accurate support in assessing wildfire risk conditions.
At a time when the effects of climate change are becoming increasingly visible, tools of this kind are becoming ever more strategic. Analyses carried out within the solution highlight an average temperature increase of around 1.4 °C in the transboundary Karst area between 1993 and 2023, confirming the importance of having advanced digital tools to observe, interpret and help prevent risk situations.
One of the most innovative aspects of the system is its ability to take into account, within risk analysis, also infrastructure-related and territorial factors that may contribute to increasing the vulnerability of surrounding areas. This approach expands risk interpretation beyond weather data alone, offering a broader and more contextualised understanding.
The platform, developed by Infordata Sistemi, has been designed to collect, process and visualise data from multiple sources in an integrated way, providing a digital environment for monitoring, environmental parameter consultation, and analytical support.
Through dashboards, historical datasets and visualisation tools, the platform makes it possible to observe the evolution of conditions relevant to wildfire risk and represents an important step towards increasingly effective digital tools for prevention and territorial management.
These developments confirm the value of integrating AI, environmental data and digital tools, opening new opportunities for a more informed, timely and data-driven approach to wildfire risk management.