Wildfires have significant impacts on global vegetation, wildlife, and humans. They destroy
plant communities and wildlife habitats and contribute to increased emissions of carbon …

Earth Observation (EO) data analysis has been significantly revolutionized by deep learning
(DL), with applications typically limited to grid-like data structures. Graph Neural Networks …

Forest fire is a serious global natural disaster that occurs frequently and is characterized by
its suddenness, destructiveness, and difficulty in emergency response. Therefore, it's of …

Accurate fire risk prediction is crucial to mitigate the significant threats of wildfires to
ecosystems, human life, and property. This article reviews various computational algorithms …

Recent research has demonstrated the potential of deep neural networks (DNNs) to
accurately predict next-day wildfire spread, based upon the current extent of a fire and …

Traditional fire warning methods typically activate alarms only after a fire has occurred.
However, in substation fire early warning systems, timely identification of the fire source …