2nd Workshop on Advances in Representation Learning for Earth Observation (REO-2)

The second edition of the Representation Learning for Earth Observation (REO) workshop will bring together researchers and practitioners from machine learning, computer vision, and Earth sciences to advance the development of robust, interpretable, and scalable models for monitoring and predicting Earth. With the growing availability of large-scale, multimodal Earth Observation data and the rise of powerful foundation models, new opportunities emerge for integrating data-driven and physics-informed approaches across sensing modalities and application domains. REO will provide a forum for presenting novel technical methods, scientific applications, and system-level innovations, fostering cross-disciplinary exchange and collaborations between academia, industry, and policy stakeholders.