Background Forests cover nearly one-third of the Earth's land and are some of our most
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …

A wildfire is an uncontrollable fire that arises outside of a specific focus, damages property,
and poses a threat to human life and health. Thousands of fires are started every year for a …

Forest fires have emerged as a significant threat to the environment, wildlife, and human
lives, necessitating the development of effective early detection systems for firefighting and …

Forests play a critical role in our everyday lives, they provide us with fresh air and clean
water and are home to a variety of plants and animals. Forests are also an important source …

Forests are vital ecosystems composed of various plant and animal species that have
evolved over years to coexist. Such ecosystems are often threatened by wildfires that can …

Wildfires are a worldwide natural disaster causing important economic damages and loss of
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …

This study explores the potential of RGB image data for forest fire detection using deep
learning models, evaluating their advantages and limitations, and discussing potential …

With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …

The timely and effective detection of forest fires is crucial for environmental and socio-
economic protection. Existing deep learning models struggle to balance accuracy and a …

Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …