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The study describes a generic workflow for developing, deploying and orchestrating AI on Earth-observation satellites. Onboard processing can turn large image collections into smaller outputs such as masks or detections before data are downlinked.

The authors emphasize that deployment involves a full processing chain, not just a neural network. The preprint outlines an engineering framework and should not be read as evidence that a particular satellite mission has adopted it.