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Solar System Remote Sensing: Planetary Science and Exploration

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: 15 September 2025 | Viewed by 450

Special Issue Editors


E-Mail Website
Guest Editor
U.S. Geological Survey, Astrogeology Science Center, 2255 N. Gemini Drive, Flagstaff, AZ 86001, USA
Interests: geospatial data; high-performance computing; stereo-photogrammetry; digital terrain models; lidar

E-Mail Website
Guest Editor
1. SETI Institute, Mountain View, CA 94043, USA
2. NASA Ames Research Center, Moffett Field, CA 94035, USA
Interests: terrestrial planet; pluto; new horizons mission; stellar occultation; mars; mars craters

Special Issue Information

Dear Colleagues,

Planetary science and exploration are crucial fields that seek to expand our understanding of the Solar System and the processes that govern the evolution of celestial bodies. This discipline encompasses the study of planets, moons, asteroids, comets, and other objects, focusing on their composition, geology, atmospheres, and potential for life. As technology advances, planetary exploration has expanded beyond Earth, leading to numerous robotic missions that capture invaluable data about distant worlds.

Solar System remote sensing plays a vital role in this context, enabling scientists to analyze celestial bodies’ composition, structure, and dynamics from afar. By utilizing various remote sensing techniques, researchers can glean insights into planetary formation processes, atmospheric phenomena, surface geology, and the potential for habitability. With ongoing exploration missions and advancements in sensor technologies, remote sensing continues to revolutionize our knowledge of the Solar System.

This Special Issue aims to explore recent advancements in Solar System remote sensing and its applications in planetary science and exploration. We invite submissions that showcase innovative methodologies, techniques, and findings related to the remote sensing of celestial bodies. We welcome research articles, reviews, and case studies that address the following topics:

  1. Remote sensing data acquisition and processing techniques for planetary bodies, including techniques to derive higher-order data products.
  2. Analysis of planetary surface features using remote sensing data.
  3. Retrieval and validation of atmospheric properties from remote sensing observations.
  4. Integrating remote sensing data with in situ measurements to enhance understanding of planetary environments.
  5. Remote sensing applications in future exploration missions, including resource identification and habitability assessments.

Dr. Jason (Jay) Laura
Dr. Ross A. Beyer
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

  • solar system remote sensing
  • planetary science
  • planetary exploration
  • surface analysis
  • planetary atmosphere
  • planetary geology

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Published Papers (1 paper)

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Research

23 pages, 15013 KiB  
Article
Lunar Visual Localization Method Based on Crater Geohash Encoding and Consistency Matching
by Siyuan Li, Yuntao He, Jianbin Huang, Tao Li, Anran Wang, Shuo Zhang, Jiaqiong Ren and Jiaxuan Wu
Remote Sens. 2025, 17(9), 1493; https://doi.org/10.3390/rs17091493 - 23 Apr 2025
Viewed by 215
Abstract
Accurate and robust visual localization is essential for autonomous lunar landing. This study presents a new crater-based method that addresses challenges posed by environmental uncertainties such as camera pose deviations, the number of craters within the scene, and the image brightness. Our method [...] Read more.
Accurate and robust visual localization is essential for autonomous lunar landing. This study presents a new crater-based method that addresses challenges posed by environmental uncertainties such as camera pose deviations, the number of craters within the scene, and the image brightness. Our method combines crater Geohash encoding for efficient database retrieval with an improved principal component analysis (PCA) for crater detection. The detected craters are ranked, retaining those with fewer but more accurate detections to meet localization requirements. Crucially, we introduce a consistency matching technique that exploits the linear relationship between position shifts and pixel offsets, enhancing both localization accuracy and computational efficiency. Experimental results across diverse scenes and simulation conditions demonstrate 100% matching accuracy with an average matching time under 0.8 s. Reprojection errors remain below 3 px, significantly outperforming methods like triangle similarity matching (TSM) and direct matching (DM). This validates the proposed method’s high precision and stability for near real-time lunar localization. Full article
(This article belongs to the Special Issue Solar System Remote Sensing: Planetary Science and Exploration)
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