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Sustainability in Mineral Potential Mapping of Key Mineral Resources

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1486

Special Issue Editor


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Guest Editor
MNR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
Interests: geological research; big data mining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mineral resources are a significant material basis for ensuring the sustainable development of the national economy and society. Sustainable management of mineral resources requires consideration of resource quality, location, and utilization. The issue of strategic key mineral resources such as lithium, cobalt, and nickel has risen to a national strategic level and received a lot of attention from relevant departments, with significant practical significance. In the era of big data, establishing a coupled model of sustainable geology environment mineral resources and utilizing machine learning and deep learning methods to tap into their resource potential is of great practical significance for the sustainable development of strategic mineral resources.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Mineral potential mapping of key mineral resource sustainability;
  • Coupling model of geological environment and mineral resources;
  • Sustainable development and utilization of key metal resources;
  • Big data and artificial intelligence for mineral exploration.

I look forward to receiving your contributions.

Dr. Li Sun
Guest Editor

Manuscript Submission Information

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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

  • sustainable geology
  • environment sustainability
  • key metal resources
  • mineral potential mapping
  • artificial intelligence
  • machine learning
  • data mining

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Published Papers (1 paper)

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Research

22 pages, 23123 KiB  
Article
Geological Study Based on Multispectral and Hyperspectral Remote Sensing: A Case Study of the Mahuaping Beryllium–Tungsten Deposit Area in Shangri-La
by Yunfei Hu, Zhifang Zhao, Xinle Zhang, Lunxin Feng, Yang Qin, Liu Ouyang and Ziqi Huang
Sustainability 2024, 16(15), 6387; https://doi.org/10.3390/su16156387 - 25 Jul 2024
Viewed by 1016
Abstract
This study applied Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral data and ZY1-02D hyperspectral data to map the structural distribution and hydrothermal alteration in the polymetallic ore district in southern Shangri-La City, Yunnan Province, China. The study area hosts several polymetallic [...] Read more.
This study applied Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral data and ZY1-02D hyperspectral data to map the structural distribution and hydrothermal alteration in the polymetallic ore district in southern Shangri-La City, Yunnan Province, China. The study area hosts several polymetallic deposits, including the Mahuaping tungsten–beryllium deposit, which has significant mineral exploration potential. The deposit type is mainly magmatic–hydrothermal, with average grades of 0.41% WO3 and 0.22% BeO, and substantial reserves, prominently controlled by faults. Based on this, this study employed ASTER data for the visual interpretation of structures through false-color composites combined with DEM data. Additionally, ASTER and ZY1-02D data were processed using the principal component analysis and spectral angle mapper methods to extract anomalies related to tungsten mineralization such as carbonate alteration, sericitization, chloritization, and hematization of the hydrothermal origin. The results indicated that the structural trends in the study area predominantly align in north–south and northeast directions, with alteration anomalies concentrated in the central and fold areas. Our analysis of typical deposits revealed their close association with north–south faults and east–west joints, as well as the enrichment level of alteration anomalies, identifying five high-potential target areas for mineral exploration. Further evaluation involved field validation through the spectral scanning of samples, field verification, and a comparison with known lithology. These assessments confirmed that the spectral curves matched those in the USGS database, the structural interpretations aligned with the field observations (84% accuracy from 25 sampling points, with 21 matching extracted alteration types), and the alteration results corresponded well with the lithological units, indicating high accuracy in alteration extraction. Finally, a comparative discussion highlighted that the results derived from ZY1-02D data were more applicable to the local area. The outcomes of this study can support subsequent mineral exploration efforts, enhancing the sustainability of important mineral resources. Full article
(This article belongs to the Special Issue Sustainability in Mineral Potential Mapping of Key Mineral Resources)
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