Leveraging Diverse Earth Observation Modalities through Self-Supervised Multimodal Learning

OmniSat, a novel self-supervised architecture, learns expressive multimodal representations by exploiting the spatial alignment between diverse Earth observation data sources, leading to improved performance on downstream tasks.