FireAd (Fire Risk Monitor Advisor)

The innovation FireAd is an ITC-desk solution able to regularly advice to forest and fire managers on windows of opportunity for forest management practices aiming at reducing the risk of wildfires. The tool generates maps of wildfire (or ignition) risk probability based on the retrieval and analysis of meteorological and drought indices (i.e. SPI), landscape metrics, and vegetation loads. The innovation helps forest and fire managers who want to keep the forest protected to select the best period for forestry practices.
Technology validated in relevant environment.
Fidelity of breadboard technology increases significantly. The basic technological components are integrated with reasonably realistic supporting elements so they can be tested in a simulated environment. Examples include “high-fidelity” laboratory integration of components.
Testing plan completed
The testing plan and the BRIGAID’s Testing Innovation Framework (TIF) has been rightly applied and finished. The TRL of the innovation has been effectively reached.
Business plan completed
The BRIGAID Business Development Programme has been successfully completed. A MAF+ assessment has been conducted and its results have been enriched and incorporated into a business plan document.
The component related with the links between drought intensity and burned area were already tested within the project DROUGHT R&SPI; the links between fire spreading, land-cover and meteorological conditions were also tested and guidelines for prescribed fire are published for Eucalyptus and Pine plantations; only the combination of the various outputs for different time scales needs testing.

How does it work?

Forest management requires planning on a monthly/weekly basis. Wildfire management requires information at daily basis. We develop an approach supported by analysis of links between burned area, drought indices and fuel moisture to optimize the period of forest operations and reduce fire risk when in drought conditions. On regional/local scale, this information will be complemented with data on wind, air moisture and temperature to identify the best conditions for fire management actions, such as prescribed burning or backfire. Modelling will be done with few and publically available information, at different time scales and drought intensities allowing integration in Apps or platforms for drought monitoring or decision support in forest and fire management.

January, 2019
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