Spatio-Temporal Diffusion Model for Satellite Imagery
Date Issued
2025
Abstract
Generative AI models have proven exceptionally useful for learning representations of the real world and creating novel data. The aim of this work is therefore the use of open-source data from satellites such as the Landsat and Sentinel series to learn the progression of landscapes over time under various influences and predict their potential future appearances using a diffusion model.