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One of the new study's key advancements, then, is implementing software that automatically identifies features in one image and attempts to match them to identical features in another image. The researchers tested their software to create maps from data — height measurements and visual-light photographs — collected with NASA's Lunar Reconnaissance Orbiter. "These new map products are significantly better than what we had in exploration planning during the Apollo missions, and they will very much improve the mission planning and scientific return for Artemis and robotic missions," geologist James Head of Brown University said in a statement.