Lunar South Pole Terrain in Coded Color

  • Released Saturday, July 22nd, 2023
  • Updated Thursday, February 22nd, 2024 at 12:16AM
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Three months after the launch of Lunar Reconnaissance Orbiter (LRO) on June 18, 2009, the mission released its first batch of elevation measurements of the area around the lunar south pole. Fourteen years, 60,000 orbits, and over 10 billion laser shots later, LRO's picture of the south pole landscape has filled in nicely. LRO's detailed terrain maps will be vital for both human and robotic explorers scheduled to arrive at south pole locations in the coming years.

An image of the Moon's South Pole colored by elevation, with labels for 29 craters and the recently named Mons Mouton.

An image of the Moon's South Pole colored by elevation, with labels for 29 craters and the recently named Mons Mouton.

The colors used to show elevation at the South Pole of the Moon.

The colors used to show elevation at the South Pole of the Moon.



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio


Missions

This visualization is related to the following missions:

Series

This visualization can be found in the following series:

Datasets used in this visualization

  • LRO DEM (Digital Elevation Map)

    ID: 653
    Collected with LOLA
  • LRO/SELENE SLDEM2015 (DIgital Elevation Model)

    ID: 948
    Model Collected with LOLA/TC

    A digital elevation model of the Moon derived from the Lunar Orbiter Laser Altimeter and the SELENE Terrain Camera. See the description in Icarus. The data is here.

    See all pages that use this dataset
  • Lunar Reconnaissance Orbiter LROC WAC Color Mosaic (Natural Color Hapke Normalized WAC Mosaic)

    ID: 1015
    Mosaic Collected with LRO Camera Arizona State University

    This natural-color global mosaic is based on the 'Hapke normalized' mosaic from LRO's wide-angle camera. The data has been gamma corrected, white balanced, and range adjusted to more closely match human vision.

    See all pages that use this dataset

Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.