Smart Wildfire Prediction and Risk Mapping System Using AI and Remote Sensing Data

Wildfires are increasing in frequency and intensity due to climate change and environmental factors. This paper presents a Smart Wildfire Prediction and Risk Mapping System that integrates real-time wildfire detection with batch-based historical risk prediction using artificial intelligence and remote sensing data. The proposed system combines machine learning models with satellite imagery to analyze environmental conditions and predict wildfire risk zones. Experimental results demonstrate the effectiveness of the approach in improving wildfire detection accuracy and supporting early warning systems for disaster management.