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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ftdoajarticles:oai:doaj.org/article:98c022a2255e4d7ab4bbf33df2e4bd78 2023-05-15T18:22:50+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 2020-02-01T00:00:00Z https://doi.org/10.3390/rs12040629 https://doaj.org/article/98c022a2255e4d7ab4bbf33df2e4bd78 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/4/629 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040629 https://doaj.org/article/98c022a2255e4d7ab4bbf33df2e4bd78 Remote Sensing, Vol 12, Iss 4, p 629 (2020) chang’e-4 lunar penetrating radar (lpr) 3d velocity spectrum properties analysis Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12040629 2022-12-31T10:14:04Z 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 TiO 2 . Article in Journal/Newspaper South pole Directory of Open Access Journals: DOAJ Articles Aitken ENVELOPE(-44.516,-44.516,-60.733,-60.733) South Pole Remote Sensing 12 4 629 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
chang’e-4 lunar penetrating radar (lpr) 3d velocity spectrum properties analysis Science Q |
spellingShingle |
chang’e-4 lunar penetrating radar (lpr) 3d velocity spectrum properties analysis Science Q 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 Science Q |
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 TiO 2 . |
format |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12040629 https://doaj.org/article/98c022a2255e4d7ab4bbf33df2e4bd78 |
long_lat |
ENVELOPE(-44.516,-44.516,-60.733,-60.733) |
geographic |
Aitken South Pole |
geographic_facet |
Aitken South Pole |
genre |
South pole |
genre_facet |
South pole |
op_source |
Remote Sensing, Vol 12, Iss 4, p 629 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/4/629 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040629 https://doaj.org/article/98c022a2255e4d7ab4bbf33df2e4bd78 |
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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1766202246007095296 |