Special Issue "Digital Exploration and Assessment of Mineral Resources: Theories, Methods and Achievements"

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

Deadline for manuscript submissions: 28 February 2023 | Viewed by 39

Special Issue Editors

Prof. Dr. Yongqing Chen
E-Mail Website
Guest Editor
School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
Interests: quantitative exploration and assessment of mineral resources; ore information extraction and integration
Prof. Dr. Xianchuan Yu
E-Mail Website
Guest Editor
School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
Interests: machine learning and geoscience; 3D stochastic modeling; earth artificial intelligence; knowledge graph construction; spatio-temporal data mining; visualization in mineral Systems
Dr. Jiangnan Zhao
E-Mail Website
Guest Editor
School of Earth Resources, China University of Geosciences, Wuhan 430074, China
Interests: mineral potential mapping; geochemical exploration; geochemical anomaly identification; comprehensive mineral exploration; fractals; machine learning

Special Issue Information

Dear Colleagues,

"Digital geology" can be called a combination of "mathematical geology" and "information technology", which is the data analysis component of geological science. Geological data science is a science that uses the general methodology of data to study geology based on the characteristics of geological data and the needs of geological works. Digital exploration and assessments of mineral resources manifest in the application of digital geology in mineral exploration to reduce ore-prospecting uncertainty and to improve ore-prospecting efficiency. The key digital geoscience knowledge lies in highly condensed information derived from raw geological, geochemistry, geophysics, and remote sensing survey data, which can be used to derive quantitatively exact expressions of the underlying ore-forming processes, phenomena, and regularities. These scientific expressions can be used to predict the occurrence, development, and results of ore-forming events in geological time. Digital mineral exploration is a successful application of data geosciences combined with information technology in geosciences. This Special Issue will showcase the theories, methods, and achievements in digital mineral exploration and assessments in recent years.

Prof. Dr. Yongqing Chen
Prof. Dr. Xianchuan Yu
Dr. Jiangnan 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. 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 2000 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

  • ore-prospecting information from geology, geochemistry, geophysics and remote sensing survey
  • ore-forming geo-anomaly
  • ore-forming system
  • nonlinear geosciences
  • mineral potential mapping
  • machine learning and geoscience

Published Papers

This special issue is now open for submission.
Back to TopTop