  The advancements in the state of the art of generative Artificial
Intelligence (AI) brought by diffusion models can be highly beneficial in novel
contexts involving Earth observation data. After introducing this new family of
generative models, this work proposes and analyses three use cases which
demonstrate the potential of diffusion-based approaches for satellite image
data. Namely, we tackle cloud removal and inpainting, dataset generation for
change-detection tasks, and urban replanning.
