Every year approximately half a million hectares of land are burned by wildfires in southern
Europe, causing large ecological and socio-economic impacts. Climate and land use …

The increasing global concern about wildfires, mostly caused by people, has triggered the
development of human-caused fire occurrence models in many countries. The premise is …

Fire occurrence, which results from the presence of an ignition source and the conditions for
a fire to spread, is an essential component of fire risk assessment. In this paper, we present …

Wildfire susceptibility maps display the spatial probability of an area to burn in the future,
based solely on the intrinsic local proprieties of a site. Current studies in this field often rely …

This paper provides insight into the use of Machine Learning (ML) models for the
assessment of human-caused wildfire occurrence. It proposes the use of ML within the …

Forest fires are one of the main factors transforming landscapes and natural environments in
a wide variety of ecosystems. The impacts of fire occur both on a global scale, with …

As most of the forest fires in South Korea are related to human activity, socio-economic
factors are critical in estimating their probability. To estimate and analyze how human activity …

We applied logistic regression and Random Forest to evaluate drivers of fire occurrence on
a provincial scale. Potential driving factors were divided into two groups according to scale …

The spatial patterns of fire occurrence were analyzed in two regions of Southern Europe,
focusing on the long-term factors that influence fire distribution. The relationship between fire …

Humans are responsible for most forest fires in Europe, but anthropogenic factors behind
these events are still poorly understood. We tried to identify the driving factors of human …