Enhancing Wildfire Prediction Through Siamese Network-Aided Deep Convolutional Neural Networks (DCNN) and GIS Integration

This research project focuses on advancing the accuracy and timeliness of wildfire prediction by harnessing the capabilities of Siamese networks and Deep Convolutional Neural Networks (DCNN), while integrating Geographic Information Systems (GIS) data. The study will leverage historical fire data, weather conditions, vegetation types, and GIS spatial information to create a comprehensive predictive model.