Hyperspectral Remote Sensing for Planetary and Surface Composition Mapping
A Special Issue of Remote Sensing (ISSN 2072-4292) belonging to the section "Satellite Missions for Earth and Planetary Exploration".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 27
Editors
Interests: lunar; planetary geology; spectroscopy; remote sensing
Interests: recent Mars surface processes; laser-induced breakdown spectroscopy (LIBS) data; the data interpretation with computer vision and machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: Mars; mineralogy; spectroscopy; hyperspectral target detection; planetary remote sensing
Special Issue Information
Dear Colleagues,
Hyperspectral remote sensing has long been a powerful approach for investigating the composition, alteration and geological evolution of lunar and planetary surfaces. By providing continuous spectral information across visible, near-infrared, shortwave-infrared and thermal wavelengths, hyperspectral observations enable the identification and mapping of minerals, rocks, volatiles and other surface materials at regional to global scales. With the continued development of lunar and planetary exploration missions and the increasing availability of new hyperspectral datasets, opportunities are emerging to investigate lunar and planetary surface compositions at improved spatial, spectral and contextual scales. Recent and upcoming missions, including Tianwen-2, Chang’E-7, BepiColombo and JUICE, will further expand the range of spectroscopic observations across the Moon, small bodies, Mercury and the icy moons of Jupiter, providing new opportunities for comparative studies of lunar and planetary surface composition and evolution.
This Special Issue aims to bring together recent developments and applications of hyperspectral remote sensing for lunar and planetary surface composition mapping. It welcomes studies focusing on the Moon, Mars, Mercury, asteroids, icy bodies and other planetary bodies, with particular attention to spectral analysis, mineralogical and chemical mapping, surface material characterization, geological interpretation and mission-related applications. Contributions that combine hyperspectral observations with laboratory spectral simulation and analysis, in situ measurements, geomorphology, geochemical constraints, numerical modeling or returned-sample studies are also encouraged.
Potential topics include hyperspectral data calibration and correction, spectral parameterization, mineral and volatile detection, lithological and compositional mapping, spectral unmixing, machine learning and artificial intelligence, multi-source data integration, laboratory spectral characterization, surface alteration and space weathering, landing site assessment and applications to current and future lunar and planetary exploration missions. Original research articles, reviews, technical notes and data/methodology papers are welcome.
Dr. Xing Wang
Dr. Zhaopeng Chen
Dr. Xing Wu
Dr. Qing 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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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
- hyperspectral remote sensing
- lunar and planetary surfaces
- compositional and mineralogical mapping
- spectral unmixing
- machine learning
- space weathering
- laboratory spectral analysis
- lunar and planetary exploration missions
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