The Fire Risk Monitor

This solution aims to increase the wildfire forecasting capability of a particular region. Outputs can be incorporated in apps or platforms for decision support in forest planning, forest management and wildfire management.
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.
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.

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