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New technique offers more precise maps of the moon's surface

New technique from Brown University researchers offers more precise maps of the Moon's surface
Cropped LOLA LDEM (a), (c) and SfS solution (b), (d) for the Malapert Massif candidate landing region, centered at 85.964°S, 357.681°E on a ridge near the summit of Mons Malapert. Both products show a central east–west ridgeline with primarily north- and south-facing slopes. Two hillshade images match illumination conditions of the low-Sun controlled NAC mosaic with subsolar longitude 315° [(a)–(b), Sun from top left] and 235° [(c)–(d), Sun from bottom left], elevation 5° above the horizon. Credit: The Planetary Science Journal (2024). DOI: 10.3847/PSJ/ad41b4

A new study by Brown University researchers may help redefine how scientists map the surface of the moon, making the process more streamlined and precise than ever before.

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For the study, the researchers primarily used data from Lunar Orbiter Laser Altimeter and Lunar Reconnaissance Orbiter Camera, instruments onboard NASA's Lunar Reconnaissance Orbiter, which has been orbiting the moon since 2009.

The scientists plan to use their refined shape-from-shading software to produce lunar maps, and they hope others will use it in their modeling efforts, as well. It's why they used open-source algorithms to produce the tool.

"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," said Head, a professor of geological sciences at Brown who worked in the Apollo program.

The researchers hope the new tool will add to the current interest in the science and exploration of the moon happening at NASA and in space agencies around the world.

"There's a wealth of information to be gained from making these types of tools accessible to all," Boatwright said. "It's an egalitarian way of doing science."

More information: Benjamin D. Boatwright et al, Shape-from-shading Refinement of LOLA and LROC NAC Digital Elevation Models: Applications to Upcoming Human and Robotic Exploration of the Moon, The Planetary Science Journal (2024).

Journal information: The Planetary Science Journal

Provided by Brown University

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