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Special Issue "High-Resolution Observations of Planetary Geological and Geomorphic Investigation"

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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: 31 March 2024 | Viewed by 2255

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Special Issue Editors

Dr. Ákos Kereszturi

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Guest Editor

Research Centre for Astronomy and Earth Sciences, Konkoly Observatory, Budapest, Hungary
Interests: planetary surface geology; fluvial, impact, ice and sedimentary features; comparative geomorphological aspects

Dr. Jiannan Zhao

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Guest Editor

Key Laboratory of Geological Survey and Evaluation of Ministry of Education, Planetary Science Institute, China University of Geosciences, Wuhan, China
Interests: planetary geology; planetary geomorphology; landing site selection; comparative planetology

Special Issue Information

Dear Colleagues,

As one of the frontier topics of current scientific research, planetary geology and geomorphology exploration have reshaped our understanding of the space world. The continuous improvement of planetary remote sensing technology has greatly supported planetary geology and geomorphology investigation, as well as numerous scientific studies on the Moon, Mars and other planetary bodies in the solar system. It is regarded as one of the indispensable technologies for planetary exploration. Remote sensing data can be used to study planetary surface processes, identify sediments in planetary craters, detect liquid water on Mars, measure space weathering rates, reconstruct geological history, etc.

This Special Issue aims to document expertise in the exploration of all aspects of planetary geology, geomorphology, and landscape evolution through high-resolution observation, as well as contributions to the study of terrestrial planets. Topics include, but are not limited to, planetary geomorphology, planetary surface processes, shallow subsurface tectonics and weathering studies.

Dr. Ákos Kereszturi
Dr. Jiannan Zhao
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

planetary geology
planetary geomorphology
planetary landforms
planetary surface processes
planetary composition
planetary geological mapping
high-resolution planetary imaging
shallow subsurface detection
space weathering

Published Papers (3 papers)

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Research

Open AccessArticle

Geometric Accuracy Analysis of Regional Block Adjustment Using GF-7 Stereo Images without GCPs

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Remote Sens. 2023, 15(10), 2552; https://doi.org/10.3390/rs15102552 - 12 May 2023

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Abstract

As an important means of improving positioning accuracy, block adjustment has been used in the improvement and assessment of accuracy for the Chinese Gaofen-7 (GF-7) satellite. However, there is little research on what factors affect accuracy without ground control points (GCPs). The correlation between accuracy and the images participating in the adjustment is not clear. This paper proposes the correlation coefficients and canonical correlation analysis between five accuracy indicators and three sets of ten adjustment factors, including topographic factors, participating image factors, and tie points (TPs) factors, to quantify the influence of adjustment factors on accuracy. Block adjustment without GCPs for GF-7 stereo imagery is verified in three study areas to evaluate the relationship between accuracy and adjustment factors. The results show that block adjustment without GCPs can improve direct positioning accuracy with an average improvement of 1.27 m in the planar direction and 0.13 m in the elevation direction. Moreover, plane accuracy is more easily affected by three sets of factors, while the influence on elevation accuracy is more balanced. The set of TP factors has the greatest influence on accuracy, and the image overlap is more critical than the image coverage area, number, and time periods. Topographic factors also play an important role, and the influence of the elevation factor with the highest canonical correlation coefficient (−0.71) is more significant than the other two factors, roughness, and slope. The results provide a reference for the improvement of adjustment accuracy without GCPs, the reasonable selection of adjustment images, the optimization of TPs, and the strategy of the partition processing of large-area block adjustment for GF-7 stereo imagery. Full article

(This article belongs to the Special Issue High-Resolution Observations of Planetary Geological and Geomorphic Investigation)

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Open AccessArticle

Comparison of Topographic Roughness of Layered Deposits on Mars

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Remote Sens. 2023, 15(9), 2272; https://doi.org/10.3390/rs15092272 - 25 Apr 2023

Cited by 1 | Viewed by 735

Abstract

Impact craters with layered ejecta deposits are widespread on Mars. Prevailing views suggest that such ejecta were formed due to the involvement of target water and/or water ice in the impact excavation and/or the post-deposition movement of the impact ejecta. The long-runout landslides and lobate debris aprons that are likely formed due to the involvement of water ice are used as analogs to compare roughness at multiple scales, considering that these three landforms share some similarities in their geomorphology. Analog studies of the morphological similarities and differences of layered ejecta deposits with different emplacement mechanisms are an important approach to untangling how layered ejecta deposits might form on Mars and beyond. Earlier morphological comparisons were usually based on qualitative descriptions or one-dimensional topographic roughness characteristics at given azimuths; however, the emplacement processes of layered deposits are recorded in two-dimensional topography and at multiple scales. In this study, we designed a multiwavelet algorithm to characterize the multi-scale topographic roughness of different forms of Martian layered deposits. Our comparisons show that the inner facies of the layered ejecta deposits and long-runout landslides exhibited similar roughness characteristics, and the outer facies of the layered ejecta deposits were more similar in roughness to lobate debris aprons. This study highlights the importance of the spatial resolution of digital terrain models in characterizing fine topographic fluctuations on layered ejecta deposits, providing additional insights into the possible emplacement mechanisms of different parts of layered ejecta deposits. Full article

(This article belongs to the Special Issue High-Resolution Observations of Planetary Geological and Geomorphic Investigation)

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Open AccessArticle

Major Elements Concentrations in Chang’E-3 Landing Site from Active Particle-Induced X-ray Spectrometer

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Remote Sens. 2023, 15(6), 1643; https://doi.org/10.3390/rs15061643 - 18 Mar 2023

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Abstract

On 14 December 2013 (UTC), China’s Chang’E-3 (CE-3) succeeded in landing on the Moon’s surface. The CE-3 landing site is in northern Mare Imbrium and several tens of meters away from the rim of a young crater with a few hundred meters in diameter. In-situ measurements of lunar soil around the roving area were conducted from Active Particle-induced X-ray Spectrometer (APXS) onboard Yutu rover. Three relatively young lunar soil samples in the CE-3 landing site were investigated. Previous studies suggested that these samples are a new type of basalt, not discovered yet in previous missions before the CE-3 in-situ measurements. It plays an essential role in promoting the understanding of lunar volcanic history. However, their results are deviated, and thus scrutinizing the data as per our optimized model to derive a more precise result is of necessity. In this paper, we present an optimized model for data analysis based on APXS measurements to derive the major elements concentrations. The optimized model has the advantages of reliability and being independent of calibration by ground standards. The particle size effect is applied in lunar X-ray fluorescence modeling for correction, improving the accuracy in determining the elemental concentrations for the actual measurement. Our results are distinct in the correlation plots by carrying out a comparison with previous lunar regolith samples from Apollo, Luna, and Chang’E-5 missions, indicating that the CE-3 landing site is a new region apart from previous in-situ or laboratory detection prior to the CE-3 measurements. It suggests a kind of young mare basalt with unusual petrological characteristics compared with previous samples and similar geochemical properties of CE-3 landing site and western Procellarum and Imbrium (WPI), with a signature of western Procellarum. Full article

(This article belongs to the Special Issue High-Resolution Observations of Planetary Geological and Geomorphic Investigation)

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