Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …

Wildfire plays an important role in ecosystem dynamics, land management, and global
processes. Understanding the dynamics associated with wildfire, such as risks, spatial …

Forest fires may have devastating consequences for the environment and for human lives.
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …

This paper proposes and validates a novel hybrid artificial intelligent approach, named as
Particle Swarm Optimized Neural Fuzzy (PSO-NF), for spatial modeling of tropical forest fire …

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 …

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 …

Abstract Knowledge of the causes of forest fires, and of the main driving factors of ignition, is
an indispensable step towards effective fire prevention policies. This study analyses the …

Despite the rapid economic and population growth, the risks related to the current dynamics
of land use and land cover (LULC) have attracted a lot of attention in Ethiopia. Therefore, a …

The main objectives of this paper are to demonstrate the results of an ensemble learning
method based on prediction results of support vector machine and random forest methods …

A reliable forest fire susceptibility map is a necessity for disaster management and a primary
reference source in land use planning. We set out to evaluate the use of the LogitBoost …