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 …

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 …

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 …

Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …

Forests are a vital natural resource that directly influences the ecosystem. Recently, forest
fire has been a serious issue due to natural and man-made climate effects. For early forest …

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 pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

To prevent economic, social, and ecological damage, fire detection and management at an
early stage are significant yet challenging. Although computationally complex networks have …

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

Deep learning-based forest fire vision monitoring methods have developed rapidly and are
becoming mainstream. The existing methods, however, are based on enormous amounts of …