Our paper “Spatio-Temporal Diffusion Model for Satellite Imagery” received the Best Paper Award at the Eleventh International Conference on Remote Sensing and Geoinformation of Environment (RSCy 2025).

Starting from sparse satellite observations, our method predicts how landscapes might evolve in the future with changes such as urban expansions or deforested regions, by leveraging a Diffusion Transformer with temporal layers. By training on open-source Landsat and Sentinel-2 data, the model generates future scenarios from a single reference image and a specified target year. This approach provides powerful insights into environmental changes, supporting both climate impact assessments and resource management.

Spatio-Temporal Diffusion Model for Satellite Imagery
Prathap Nagaraj Kashyap, Alireza Javanmardi, Pragati Jaiswal, Alain Pagani, Gerd Reis
RSCy 2025

Congratulations to the authors for this great achievement!

Contact: Alireza Javanmardi, Alain Pagani, Gerd Reis