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Applied Sciences
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GIS Applications for Mining Systems and Mineral Resources: Planning and...
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GIS Applications for Mining Systems and Mineral Resources: Planning and Modeling

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 5186

Special Issue Editor

Dr. Jangwon Suh

E-Mail Website
Guest Editor
Department of Energy Resources and Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
Interests: GIS for energy resources; mine hazards; mine reclamation; geospatial predictive mapping; geostatistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Various research and industrial applications using geospatial data have recently been developed, such as digital twins, unmanned aerial vehicles, augmented reality, and virtual reality in 4th industrial revolution era. State-of-the-art geographic information system (GIS) technologies enable supporting decision-making and better managing the mining industry during the entire mining project life cycle. From mine exploration to mine reclamation, GIS can help to increase ore production efficiency, optimize workflows and mine operations, and mitigate potential risk.

This Special Issue (SI) aims to encourage researchers to address GIS application research to mining systems and mineral resources in a broader sense. This SI will cover a broad spectrum of original research contributions and reviews on all fields of mining and mineral resources.

Dr. Jangwon Suh
Guest Editor

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. Applied Sciences 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 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

  • GIS in mineral exploration
  • GIS in mining
  • GIS in mine reclamation
  • digital twin in mining
  • unmanned aerial vehicles in smart mining
  • mineral potential mapping
  • geospatial predictive mapping

Published Papers (2 papers)

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Research

17 pages, 10737 KiB  
Article
Geophysical Research of Secondary Deformations in the Post Mining Area of the Glaciotectonic Muskau Arch Geopark—Preliminary Results
by Jan Blachowski, Ewa Warchala, Jacek Koźma, Anna Buczyńska, Natalia Bugajska, Miłosz Becker, Dominik Janicki, Paulina Kujawa, Leszek Kwaśny, Jaroslaw Wajs, Paweł Targosz and Marek Wojdyła
Appl. Sci. 2022, 12(3), 1194; https://0-doi-org.brum.beds.ac.uk/10.3390/app12031194 - 24 Jan 2022
Cited by 2 | Viewed by 2193
Abstract
Underground and opencast mining adversely affects the surrounding environment. This process may continue even decades after the end of actual mineral extraction. One of the most significant effects of ceased mining are secondary deformations. Safe, new development of post-mining areas requires reliable information [...] Read more.
Underground and opencast mining adversely affects the surrounding environment. This process may continue even decades after the end of actual mineral extraction. One of the most significant effects of ceased mining are secondary deformations. Safe, new development of post-mining areas requires reliable information on potential deformation risk zones, which may be difficult to obtain due to a lack of necessary data. This study aimed to investigate and understand the secondary deformation processes in the underground mining area of the former “Babina” lignite mine, located in the unique glaciotectonic environment of the Muskau Arch, in western Poland. A combination of GIS-based historical mapping, geophysical 2D/3D microgravimetry, and Electrical Resistivity Tomography (ERT) measurements allowed the identification of subsidence-prone areas and the determination of potential factors of sinkhole development. The latter are associated with anthropogenic transformation of rock mass and hydrogeological conditions, by shallow underground mining. The results confirmed that multi-level mining of coal deposits in complex and complicated glaciotectonic conditions cause discontinuous deformations, and may be hazardous as long as 50 years after the end of mining operations. Full article
(This article belongs to the Special Issue GIS Applications for Mining Systems and Mineral Resources: Planning and Modeling)
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13 pages, 4202 KiB  
Article
Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
by Heonmoo Kim and Yosoon Choi
Appl. Sci. 2021, 11(21), 10235; https://0-doi-org.brum.beds.ac.uk/10.3390/app112110235 - 01 Nov 2021
Cited by 10 | Viewed by 2157
Abstract
In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm. The robot was designed to recognize road signs at the intersection of a tunnel [...] Read more.
In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm. The robot was designed to recognize road signs at the intersection of a tunnel using a geometric matching algorithm of machine vision, and the autonomous driving mode was switched according to the shape of the road sign to drive the robot according to the planned route. The autonomous driving mode recognized the shape of the tunnel using the distance data from the LiDAR sensor; it was designed to drive while maintaining a fixed distance from the centerline or one wall of the tunnel. A machine-vision-based road sign recognition system and an autonomous driving robot for underground mines were used in a field experiment. The results reveal that all road signs were accurately recognized, and the average matching score was 979.14 out of 1000, confirming stable driving along the planned route. Full article
(This article belongs to the Special Issue GIS Applications for Mining Systems and Mineral Resources: Planning and Modeling)
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