Lunar Terrain Coverage Analysis Data Delivery Workflow

Carlyn-Ann Lee; Charles Lee; Mohsin Ahmed Shaikh; Dominik L. Michels

doi:10.2514/6.2021-4039

Lunar Terrain Coverage Analysis Data Delivery Workflow

Carlyn-Ann Lee, Charles Lee, Mohsin Ahmed Shaikh, Dominik L. Michels

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.2514/6.2021-4039
State	Published - Nov 3 2021

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@inproceedings{42b433d2ab4a40bab11e09f7fc1ad021,

title = "Lunar Terrain Coverage Analysis Data Delivery Workflow",

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{\textquoteright}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.",

author = "Carlyn-Ann Lee and Charles Lee and Shaikh, {Mohsin Ahmed} and Michels, {Dominik L.}",

note = "KAUST Repository Item: Exported on 2022-12-12 Acknowledgements: 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).",

year = "2021",

month = nov,

day = "3",

doi = "10.2514/6.2021-4039",

language = "English (US)",

isbn = "9781624106125",

booktitle = "ASCEND 2021",

publisher = "American Institute of Aeronautics and Astronautics",

}

TY - GEN

T1 - Lunar Terrain Coverage Analysis Data Delivery Workflow

AU - Lee, Carlyn-Ann

AU - Lee, Charles

AU - Shaikh, Mohsin Ahmed

AU - Michels, Dominik L.

N1 - KAUST Repository Item: Exported on 2022-12-12 Acknowledgements: 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).

PY - 2021/11/3

Y1 - 2021/11/3

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/676607

UR - https://arc.aiaa.org/doi/10.2514/6.2021-4039

UR - http://www.scopus.com/inward/record.url?scp=85121256159&partnerID=8YFLogxK

U2 - 10.2514/6.2021-4039

DO - 10.2514/6.2021-4039

M3 - Conference contribution

SN - 9781624106125

BT - ASCEND 2021

PB - American Institute of Aeronautics and Astronautics

ER -

Lunar Terrain Coverage Analysis Data Delivery Workflow

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