A new framework called Conservati learns Earth Observation satellite scheduling constraints interactively from a binary oracle. It solves the gap where thermal limits and power budgets remain hidden in simulators rather than explicit models. This active acquisition method reduces the need for pre-specified mathematical constraints. Practitioners can now optimize imaging tasks without full operational transparency.