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Planetary Remote Sensing and Applications to Mars and Chang’E-6/7

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: 28 April 2024 | Viewed by 1647

Special Issue Editors


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School of Space Science and Physics, Shandong University, Weihai, China
Interests: planetary remote sensing; planetary spectroscopy; planetary materials and geology

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Guest Editor
Key Lab of Lunar Science and Deep-Exploration, Chinese Academy of Sciences, Beijing 100101, China
Interests: remote sensing; lunar and planetary science; Mars and Venus geology; environmental remote sensing; image processing
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Special Issue Information

Dear Colleagues,

Orbital and in situ remote sensing measurements have been commonly used in exploring the Moon and Mars and studying the geology of the two planetary bodies. The most recent missions to Mars include the United Arab Emirates’s Space Agency’s Hope orbiter, China’s Tianwen-1 mission and NASA’s Mars 2020 mission, while China Chang’E- 5/6 are the most recent missions for returning samples from the Moon. Considering that the spacecrafts for these missions carry orbital imaging spectrometers, high-resolution orbital cameras, drones and optical instruments for in situ measurements, a wealth of data and information on these bodies will be collected and, after being processes and analyzed, new observations and understanding of the surface composition, substrate rock properties, internal structure and geological history of the two bodies are expected. This is critical for understanding.

This Special Issue invites manuscripts resulting from processing and analyzing remote sensing datasets acquired via the latest missions to the Moon and Mars as well as those from in situ spectral and compositional measurements. The manuscripts are expected to highlight the importance of and new discoveries in high-resolution camera-, imaging spectrometer- and in situ optical measurement-based remote sensing for the investigation of the Moon and Mars. This Special Issue also welcomes manuscripts reporting new research results combining optical observations with other or previous measurements from photographic, X-ray, gamma-ray, gravitational, magnetic and topographic data.

This Special Issue will focus on planetary remote sensing and its applications on Mars and the Moon via the latest Tianwen-1 and other missions. Studies of other planetary bodies or objects are also welcome.

  • Planetary mineral and geologic mappings.
  • Mars climate changes.
  • Mars aqueous history.
  • Chang’E-6/7 mission.
  • Orbital and in situ mission observations.
  • Laboratory simulation.

Prof. Dr. Shengbo Chen
Prof. Dr. Lin Li
Prof. Dr. Zongcheng Ling
Prof. Dr. Yuanzhi Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Mars
  • the Moon
  • regolith and other surface materials
  • in situ and orbital imaging spectroscopy
  • secondary alteration
  • endogenic and exogenic processes
  • geologic mapping

Published Papers (2 papers)

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Research

20 pages, 9457 KiB  
Article
Automatic Extraction of Martian Subsurface Layer from Radargrams Based on PDE Denoising and KL Filter
by Xin Shu and Hongxia Ye
Remote Sens. 2024, 16(7), 1123; https://doi.org/10.3390/rs16071123 - 22 Mar 2024
Viewed by 426
Abstract
The polar regions of Mars, including the South and North Poles, are crucial for studying Martian climate and geological history, as they contain the largest reservoir of subsurface water ice. This study introduces a new approach for reflector detection, which includes radargram denoising [...] Read more.
The polar regions of Mars, including the South and North Poles, are crucial for studying Martian climate and geological history, as they contain the largest reservoir of subsurface water ice. This study introduces a new approach for reflector detection, which includes radargram denoising to effectively enhance the signal of underground reflectors, peak detection to extract the positions of subsurface stratification from the radar echoes, and peak points connection to form continuous layers. The mapped enhancement denoising process involves a linear brightness adjustment and a fourth-order diffusion equation to enhance the signal of the subsurface layers for effective detection. The subsurface detection extracts the surface and subsurface peak points based on a peak detection algorithm, while using locally window-enhanced peak filtering and Kullback–Leibler (KL) divergence mapping to filter out non-stratified peak points. Finally, the layered connection process uses the proximity parameter to connect peak points in the same layer. Applied to multiple SHARAD (Shallow Radar) images at the Martian poles, this algorithm demonstrated a false detection rate below 5%. Compared to other methods, this method has a missed detection rate of less than 5% and, additionally, exhibits fewer discontinuities in layer connectivity. Therefore, this algorithm shows exceptional proficiency and applicability in analyzing the complex subsurface structures of the Martian polar regions. Full article
(This article belongs to the Special Issue Planetary Remote Sensing and Applications to Mars and Chang’E-6/7)
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25 pages, 25438 KiB  
Article
Geomorphology, Mineralogy, and Chronology of Mare Basalts in the Oceanus Procellarum Region
by Cheng Zhang, Jianping Chen, Yiwen Pan, Shuangshuang Wu, Jian Chen, Xiaoxia Hu, Yue Pang, Xueting Liu and Ke Wang
Remote Sens. 2024, 16(4), 634; https://doi.org/10.3390/rs16040634 - 08 Feb 2024
Viewed by 941
Abstract
Mare basalts on the lunar surface are tangible expressions of the complex thermal evolution and geological processes that have occurred within the lunar interior. These basaltic manifestations are highly important because they provide invaluable insights into lunar geological evolution. Notably, the Oceanus Procellarum [...] Read more.
Mare basalts on the lunar surface are tangible expressions of the complex thermal evolution and geological processes that have occurred within the lunar interior. These basaltic manifestations are highly important because they provide invaluable insights into lunar geological evolution. Notably, the Oceanus Procellarum region, which is renowned for its extensive and long-lasting basaltic volcanism, is a premier location to investigate late-stage lunar thermal evolution. The primary aim of this research is to elucidate the geomorphological, compositional, and temporal attributes that define the mare basalts within the Oceanus Procellarum region. To achieve this aim, we comprehensively analyzed the geomorphological features present within the region, leveraging Kaguya/SELENE TC images and digital elevation models. Specifically, these geomorphological features encompass impact craters, wrinkle ridges, sinuous rilles, and volcanic domes. Subsequently, we thoroughly examined the mineralogical attributes of basalts in the Oceanus Procellarum region, leveraging Kaguya/SELENE MI data and compositional map products. To more accurately reflect the actual ages of the mare basalts in the Oceanus Procellarum region, we carefully delineated the geological units within the area and employed the latest crater size-frequency distribution (CSFD) technique to precisely determine their ages. This refined approach allowed for a more comprehensive and accurate understanding of the basaltic rocks in the study area. Overall, our comprehensive study included an in-depth analysis of the volcanic activity and evolution of the Oceanus Procellarum region, along with an examination of the correlation between the mineralogical composition and ages of mare basalts. The findings from this exhaustive investigation reveal a definitive age range for basalt units within the Oceanus Procellarum region from approximately 3.69 Ga to 1.17 Ga. Moreover, the latest mare basalts that formed were pinpointed north of the Aristarchus crater. Significantly, the region has experienced at least five distinct volcanic events, occurring approximately 3.40 Ga, 2.92 Ga, 2.39 Ga, 2.07 Ga, and 1.43 Ga, leading to the formation of multiple basalt units characterized by their unique mineral compositions and elemental abundances. Through the application of remote sensing mineralogical analysis, three primary basalt types were identified: low-titanium, very-low-titanium, and intermediate-titanium basalt. Notably, the younger basalt units exhibit an elevated titanium proportion, indicative of progressive olivine enrichment. Consequently, these younger basalt units exhibit more intricate and complex mineral compositions, offering valuable insights into the dynamic geological processes shaping the lunar surface. Full article
(This article belongs to the Special Issue Planetary Remote Sensing and Applications to Mars and Chang’E-6/7)
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