Forecasting next day wildfires through image segmentation using convolutional neural networks

In this study, we trained a convolutional neural network based on the UNET architecture to predict the locations of wildfires on the next day through image segmentation. The Residual UNET does this by generating wildfire predictors from the inputs using feature extraction. The open-source dataset we used was curated for predicting next day wildfires and contains remotely sensed images of 12 input features relevant to the task.