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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Published in:Remote Sensing
Main Authors: Zejun Dong, Xuan Feng, Haoqiu Zhou, Cai Liu, Zhaofa Zeng, Jing Li, Wenjing Liang
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12040629
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spelling 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
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Chang’E-4
lunar penetrating radar (LPR)
3D velocity spectrum
properties analysis
spellingShingle 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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