Mapping of Rocks and Minerals Using Hyperspectral Remote Sensing, 2nd Edition

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".

Deadline for manuscript submissions: 18 October 2024 | Viewed by 280

Special Issue Editors


E-Mail Website
Guest Editor
College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
Interests: remote sensing rock mechanics; disaster remote sensing; hyperspectral remote sensing and mining applications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Geomatics Engineering, Northeastern University, Shenyang 110167, China
Interests: mined land reclamation; LUCC; hyperspectral imaging; field spectroradiometer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
Interests: radar interferometry; InSAR technology and application; microwave remote sensing and applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the spectral identification of rocks and minerals together with remote sensing technology have been widely used in mineral resource exploration, geological mapping, mine geology, etc. However, due to the wide variety, complex structural composition, and diverse surface morphology of rocks and minerals, as well as the complicated influence of many factors on spectral measurements, there are still many challenges in hyperspectral remote sensing of rocks and minerals. This Special Issue provides a platform for researchers to discuss and exchange their ideas and results related to the above topics. Our Special Issue will cover a broad range of relevant topics of interest, such as:

  1. Spectral measurement of rock and mineral and data processing;
  2. Influencing factors and mechanism of rock and mineral spectrum;
  3. Construction of rock and mineral spectrum library;
  4. Hyperspectral image processing method of rock and ore;
  5. Rock spectral unmixing algorithm;
  6. Hyperspectral satellite data application in rock and mineral mapping;
  7. Ground-based hyperspectral imaging for mining applications;
  8. Airborne hyperspectral survey system and geological application;
  9. Spectral processing methods for geological remote sensing.

Prof. Dr. Shanjun Liu
Prof. Dr. Nisha Bao
Dr. Lianhuan Wei
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

  • rock and mineral
  • spectral analysis
  • hyperspectral remote sensing
  • hyperspectral image processing
  • geological and mining application

Published Papers

This special issue is now open for submission.
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