Dataset for "Identifying Critical Fire Spread to the Wildland–Urban Interface using Cellular Automata and Reinforcement Learning"

Dataset related to the publication "Enhancing Wildfire Response Strategies: A Multi-Model Framework Integrating Deep Reinforcement Learning and Stochastic Analysis via Cellular Automata" which contains the code for the generation of synthetic wildfire scenarios acting as an environment for the training of reinforcement learning models and the data for the validation of the model referred to a use case of Gran Canaria where the orography of the study terrain, the vegetation in terms of fuel models and the meteorological conditions of the event studied are collected.