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Improved LOLA Elevation Maps for South Pole Landing Sites: Error Estimates and Their Impact on Illumination ConditionsWe present new high-resolution topographic models of 4 high-priority lunar south pole landing sites based exclusively on the laser altimetry data acquired by the Lunar Orbiter Laser Altimeter (LOLA) onboard the Lunar Reconnaissance Orbiter. By iteratively adjusting the LOLA tracks to the LOLA-based digital elevation model (LDEM) in a self-consistent fashion, we reduce the orbital geolocation errors by over a factor of 10 such that the new ground track geolocation uncertainty is ~10–20 ​cm horizontally and ~2–4 ​cm vertically over each 16 ​× ​16 km region. These new and improved 5 ​m/pix LDEMs will be useful to constrain higher-resolution topographic models derived from imagery, which are not as well controlled geodetically and which can be hindered by shadows. We developed a method to estimate surface height uncertainty in the new LDEMs, which accounts for the reduced orbital errors and interpolation errors by assuming a fractal behavior for the short-scale topography. The LDEM surface height and slope uncertainties have typical RMS values of ~0.30–0.50 ​m and ~1.5–2.5°, respectively. Finally, we examine how height uncertainties propagate to variations in horizon elevation and thus the predicted illumination conditions at these polar latitudes, and we show how this error characterization can inform landing site studies.
Document ID
20205009660
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Michael K Barker
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Erwan Mazarico
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Gregory A Neumann
(Goddard Space Flight Center Greenbelt, Maryland, United States)
David E Smith
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Maria T Zuber
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
James W. Head
(Brown University Providence, Rhode Island, United States)
Date Acquired
November 4, 2020
Publication Date
October 17, 2020
Publication Information
Publication: Planetary and Space Science
Publisher: Elsevier
Volume: 203
Issue Publication Date: September 1, 2021
ISSN: 0032-0633
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 970019.05.06.04
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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