A new approach called Conservati learns satellite imaging constraints interactively from a binary oracle. Most current models assume constraints are fully specified, but real-world power and thermal limits often hide in simulators. This research enables Earth Observation systems to optimize schedules without explicit mathematical models. It reduces the manual effort required to define operational boundaries.