Machine learning

Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content

Wildfire occurrence is a non-linear process resulting from interactions between weather, topography, fuel, and anthropogenic factors amongst others. Modelling the probability of wildfire occurrence has commonly focused on the features of the dynamic …

Modelling the daily probability of lightning-caused ignition in the Iberian Peninsula

Background: Lightning is the most common origin of natural fires, being strongly linked to specific synoptic conditions associated with atmospheric instability, such as dry thunderstorms; dry fuels are required for ignition to take place and for …