Forest Fire

Forest fires are a significant global threat, causing ecological damage and posing risks to human lives and property, exacerbated by climate change. Current research focuses on improving early detection and risk assessment using advanced technologies like AI, machine learning, and UAVs, employing models such as convolutional neural networks, random forests, and graph convolutional recurrent networks to analyze satellite imagery, social media data, and other sources. These efforts aim to enhance wildfire prediction, optimize resource allocation for prevention and suppression, and improve emergency response strategies, ultimately contributing to more effective wildfire management and mitigation.