Vegetation Change Detection And Recovery Assessment Based On Post-fire Satellite Imagery Using Deep Learning

This article discusses the use of A.I. in analyzing vegetation recovery after wildfires. It presents a dataset collected from three regions and outlines the methodology used for processing the data. The proposed integrated framework aims to improve understanding of the effects of fire on vegetation and aid in recovery efforts.