Self-supervised learning has great potential for the remote sensing domain. where unlabelled observations are abundant. but labels are hard to obtain. This work leverages unlabelled multi-modal remote sensing data for augmentation-free contrastive self-supervised learning. https://jalyttlers.shop/product-category/bowl/