Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar
The Chinese Chang’E-4 mission for moon exploration has been successfully completed. The Chang’E-4 probe achieved the first-ever soft landing on the floor of Von Kármán crater (177.59°E, 45.46°S) of the South Pole-Aitken (SPA) basin on January 3, 2019. Yutu-2 rover is mounted with several scientific...
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ftmdpi:oai:mdpi.com:/2072-4292/12/4/629/ 2023-08-20T04:09:52+02:00 Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar Zejun Dong Xuan Feng Haoqiu Zhou Cai Liu Zhaofa Zeng Jing Li Wenjing Liang agris 2020-02-13 application/pdf https://doi.org/10.3390/rs12040629 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12040629 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 4; Pages: 629 Chang’E-4 lunar penetrating radar (LPR) 3D velocity spectrum properties analysis Text 2020 ftmdpi https://doi.org/10.3390/rs12040629 2023-07-31T23:06:49Z The Chinese Chang’E-4 mission for moon exploration has been successfully completed. The Chang’E-4 probe achieved the first-ever soft landing on the floor of Von Kármán crater (177.59°E, 45.46°S) of the South Pole-Aitken (SPA) basin on January 3, 2019. Yutu-2 rover is mounted with several scientific instruments including a lunar penetrating radar (LPR), which is an effective instrument to detect the lunar subsurface structure. During the interpretation of LPR data, subsurface velocity of electromagnetic waves is a vital parameter necessary for stratigraphic division and computing other properties. However, the methods in previous research on Chang’E-3 cannot perform velocity analysis automatically and objectively. In this paper, the 3D velocity spectrum is applied to property analysis of LPR data from Chang’E-4. The result shows that 3D velocity spectrum can automatically search for hyperbolas; the maximum value at velocity axis with a soft threshold function can provide the horizontal position, two-way reflected time and velocity of each hyperbola; the average maximum relative error of velocity is estimated to be 7.99%. Based on the estimated velocities of 30 hyperbolas, the structures of subsurface properties are obtained, including velocity, relative permittivity, density, and content of FeO and TiO2. Text South pole MDPI Open Access Publishing South Pole Aitken ENVELOPE(-44.516,-44.516,-60.733,-60.733) Remote Sensing 12 4 629 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
Chang’E-4 lunar penetrating radar (LPR) 3D velocity spectrum properties analysis |
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Chang’E-4 lunar penetrating radar (LPR) 3D velocity spectrum properties analysis Zejun Dong Xuan Feng Haoqiu Zhou Cai Liu Zhaofa Zeng Jing Li Wenjing Liang Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
topic_facet |
Chang’E-4 lunar penetrating radar (LPR) 3D velocity spectrum properties analysis |
description |
The Chinese Chang’E-4 mission for moon exploration has been successfully completed. The Chang’E-4 probe achieved the first-ever soft landing on the floor of Von Kármán crater (177.59°E, 45.46°S) of the South Pole-Aitken (SPA) basin on January 3, 2019. Yutu-2 rover is mounted with several scientific instruments including a lunar penetrating radar (LPR), which is an effective instrument to detect the lunar subsurface structure. During the interpretation of LPR data, subsurface velocity of electromagnetic waves is a vital parameter necessary for stratigraphic division and computing other properties. However, the methods in previous research on Chang’E-3 cannot perform velocity analysis automatically and objectively. In this paper, the 3D velocity spectrum is applied to property analysis of LPR data from Chang’E-4. The result shows that 3D velocity spectrum can automatically search for hyperbolas; the maximum value at velocity axis with a soft threshold function can provide the horizontal position, two-way reflected time and velocity of each hyperbola; the average maximum relative error of velocity is estimated to be 7.99%. Based on the estimated velocities of 30 hyperbolas, the structures of subsurface properties are obtained, including velocity, relative permittivity, density, and content of FeO and TiO2. |
format |
Text |
author |
Zejun Dong Xuan Feng Haoqiu Zhou Cai Liu Zhaofa Zeng Jing Li Wenjing Liang |
author_facet |
Zejun Dong Xuan Feng Haoqiu Zhou Cai Liu Zhaofa Zeng Jing Li Wenjing Liang |
author_sort |
Zejun Dong |
title |
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
title_short |
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
title_full |
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
title_fullStr |
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
title_full_unstemmed |
Properties Analysis of Lunar Regolith at Chang’E-4 Landing Site Based on 3D Velocity Spectrum of Lunar Penetrating Radar |
title_sort |
properties analysis of lunar regolith at chang’e-4 landing site based on 3d velocity spectrum of lunar penetrating radar |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12040629 |
op_coverage |
agris |
long_lat |
ENVELOPE(-44.516,-44.516,-60.733,-60.733) |
geographic |
South Pole Aitken |
geographic_facet |
South Pole Aitken |
genre |
South pole |
genre_facet |
South pole |
op_source |
Remote Sensing; Volume 12; Issue 4; Pages: 629 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12040629 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12040629 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
4 |
container_start_page |
629 |
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1774723601121935360 |