Methodology and elaboration of model for Map of Wildfire Risk: Application of Deep learning in the Regional Forest Fire Plan for the Region of Sardinia

For civil protection purposes, risk is the probability of a calamitous event occurring that may cause harmful effects on the population, residential and productive settlements and infrastructure, within a particular area, in a given period of time. The work was carried out with the aim of being able to establish the municipal fire danger and risk index (IR), which define, respectively, the degree of danger and fire risk calculated on a regional basis and referred to the individual municipal territory, exploiting the typical functions of GIS tools and the new steps forward made by the application of artificial intelligence; however, the horizon to be reached is to be able to transform the algorithms into automated processes that can be used in platforms capable of returning outputs to end users.