Fire is a complex process involving interactions and feedbacks between biological,
socioeconomic, and physical drivers across multiple spatial and temporal scales. This …

In recent years, the number of wildfires has increased all over the world. Therefore, map**
wildfire susceptibility is crucial for prevention, early detection, and supporting wildfire …

Turkey has a high forest fire potential along the Aegean and Mediterranean coasts, related
to climate and extremely sensitive forests. In Turkey over 10,000-ha forest area has been …

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 …

Wildfire susceptibility is a measure of land propensity for the occurrence of wildfires based
on terrain's intrinsic characteristics. In the present study, two stochastic approaches (ie …

In ecologically sensitive areas like the Western Ghats, fire is largely considered to be the
most significant management concern. Therefore, identifying and predicting the fire …

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 …

We used three state-of-the-art machine learning techniques (boosted regression tree,
random forest, and support vector machine) to produce a multi-hazard (MHR) map …

Weather conditions play an important role in wildfire activity. In many regions, future climate
could lead to different fire weather, with impacts on the ignition, behaviour, and suppression …

In Portugal, drought characterizes the climatic variability, contributes to the increase of fire
risk and its duration and intensity are expected to increase in future climate. Surprisingly, the …