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

One of the primary variables affecting ignition and spread of wildfire is fuel moisture content
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …

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 …

This paper presents a new global burned area (BA) product, generated from the Moderate
Resolution Imaging Spectroradiometer (MODIS) red (R) and near-infrared (NIR) reflectances …

Wildfires have been systematically studied from the early 1950s, with significant progress in
the applied computational methodologies during the 21st century. However, modern …

Frequent forest fires are causing severe harm to the natural environment, such as
decreasing air quality and threatening different species; therefore, develo** accurate …

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 …

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 …

Extreme wildfires are a major environmental and socioeconomic threat across many regions
worldwide. The limits of fire suppression-centred strategies have become evident even in …

Forest fires threaten a large part of the world's forests, communities, and industrial plants,
triggering technological accidents (Natechs). Forest fire modelling with respect to …