Hyperspectral and Thermal Infrared Remote Sensing for Mineral Exploration
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 99
Special Issue Editors
Interests: hyperspectral remote sensing; machine learning; mineral prospecting
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; hyperspectral; mineral indicator
Special Issue Information
Dear Colleagues,
In recent years, hyperspectral satellites covering the visible–shortwave infrared range have been launched globally, including PRISMA, EnMAP, GF-5, ZY1-02D, ZY1-02E, and GF-5B. These advancements have enhanced the role of remote sensing in geological applications, particularly in mineral exploration. Both traditional spectral analysis and machine learning techniques have been developed to improve the performance of hyperspectral remote sensing in lithologic classification and mineral mapping. Meanwhile, some thermal infrared sensors, such as Sustainable Development Scientific Satellite-1 (SDGSAT-1), exhibit great potential for the classification and extraction of specific rocks and alterations due to their high spatial resolution, making remote sensing data applicable to a wider variety of mineral types.
This Special Issue invites submissions of original scientific research related to hyperspectral and thermal infrared remote sensing applications in mineral exploration worldwide. The Special Issue focuses on the following topics: 1) the spectroscopic mechanism of rocks and minerals; 2) advanced methods and typical applications of visible–shortwave infrared and thermal infrared data for mineral exploration; and 3) the application of multi-platform hyperspectral data (including spaceborne, airborne, ground, and drill core) in mineral exploration.
Prof. Dr. Lei Liu
Dr. Jingjing Dai
Dr. Yaqian Long
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. Minerals is an international peer-reviewed open access monthly 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 2400 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
- visible–shortwave infrared
- thermal infrared
- machine learning
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