FirEUrisk
Dissecting risk to prevent extreme wildfires
FIREURISK aims to improve wildfire risk management in Europe by developing an integrated science-based strategy that includes new tools for assessing the danger and the vulnerabilities of communities and landscapes. This strategy focuses on reducing wildfire risks, and adapting for a resilient future.
FIREURISK tests its approaches to wildfire risk management in five European pilot sites. Covering a variety of wildfire risk conditions, these testing grounds address all phases of wildfire challenges: prevention, preparedness, response, and restoration. Each pilot site will hold an event to demonstrate the scalability and effectiveness of our strategies, engaging with and receiving feedback from the end-users of the FirEUrisk solutions.
The project strategy is based in a three-steps process:
- Assessment: the project appraises the location, intensity, frequency, and probability of fires to evaluate fire danger, the exposure and vulnerability to fires in different areas, the effects of fires on people, property, ecosystems, and the environment.
- Reduction: the project studies the drivers for human-caused fire ignitions, revises land management strategies to understand how they affect wildfire risk, and develops tools for predicting how extreme fires behave and spread.
- Adaptation: they create scenarios of how changes in climate, population, and land uses affect fire risk conditions. We aim to improve the prevention of and preparedness for fires, especially in areas where fires will become more regular in the future.
GMV coordinates the demonstration of products developed at local and regional scales across Europe and its technical work is focused on: 1/ the development of added value satellite-based products for fire risk reduction concerning forest conditions and ecosystem vulnerabilities, such as biotic damages; and 2/ reporting multi-level integration activities, including the wildfire risk cascading effects and interactions with other risks.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003890. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.