Abstract
In this work, we are developing a lunar terrain database to enable fast rendering of sun illumination and earth visibility for a proposed coverage analysis tool. This development will advance lunar mission design and formulation for current and future communications architectures, and will aid in lunar surface mission planning and communications/navigation operations. Our effort can be described in three steps: (1) we parallelize a brute force algorithm, which computes elevation masks from laser altimetry data acquired by the Lunar Reconnaissance Orbiter’s (LRO) Lunar Orbiter Laser Altimeter (LOLA); (2) we investigate parallel I/O methods to store terrain mask information from step (1) into a parallel file system; and (3) we finally deliver data to the terrain coverage analysis tool.
| Original language | English (US) |
|---|---|
| Title of host publication | ASCEND 2021 |
| Publisher | American Institute of Aeronautics and Astronautics |
| ISBN (Print) | 9781624106125 |
| DOIs | |
| State | Published - Nov 3 2021 |
Bibliographical note
KAUST Repository Item: Exported on 2022-12-12Acknowledgements: The research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA), together with the Computational Sciences Group (KAUST Visual Computing Center) and the Supercomputing Laboratory (KAUST Core Labs).