Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

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 …

The river basins of the Indus-Ganges-Brahmaputra (IGB) are characterized by rapid
population growth, increased water demand, and rapid snow/ice melting, all of which …

Forest fires have significant impacts on economies, cultures, and ecologies worldwide.
Develo** predictive models for forest fire probability is crucial for preventing and …

Forests are essential natural resources that serve to facilitate economic activity while also
providing an essential impact on climate regulation and the carbon cycle. In the Chittagong …

Iranian semi-arid oak (Quercus brantii) forests are characterized by their sparse canopy
cover and an increasing risk of wildfire. In Lorestan Province, west of Iran (28,300 km²) …

Vegetation is a major natural resource that plays an important role in maintaining ecological
balance. Vegetation in the eastern Himalaya has experienced severe consequences owing …

The Brazilian Legal Amazon is an extensive territory in which different factors influence the
dynamics of forest fires. Currently, the Brazilian government has two tools in the public …

The characteristics of the vegetation fire (VF) regime are strongly influenced by geographical
variables such as regional physiographic settings, location, and climate. Understanding the …

Forest fire risk prediction is a crucial link in maintaining forest ecological security. Machine
learning, due to its powerful non-linear modeling capabilities, has been widely applied in …