Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook

Yousefi, Mahyar; Carranza, Emmanuel John M.; Kreuzer, Oliver P.; Nykänen, Vesa; Hronsky, Jon; Mihalasky, Mark J.

doi:10.1016/j.gexplo.2021.106839

Cited by 62 publications

(17 citation statements)

References 123 publications

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“…The current literature may represent a bias toward topics which are the most obvious applications for spatial methods such as PGIS, LULC analysis and georeferencing non-spatial social survey data. Future research should focus on integrating spatial-integrated social analysis across the entire mining lifecycle, particularly in stages that have received less attention in the existing literature, notably Exploration Information System (EIS) (Kreuzer et al, 2020; Yousefi et al, 2019; 2021) and mine closure (McKenna et al, 2020; Rich et al, 2015). Other understudied areas include a broader spectrum of resources beyond coal, mapping intangible dimensions of mining such as ‘Culture’, ‘Community’ and ‘People’ indicators, and incorporating different scales of analysis, ranging from specific mining sites to broader contexts such as country-level and global assessments.…”

Section: Discussionmentioning

confidence: 99%

“…Geospatial analysis through sophisticated artificial intelligence (AI) algorithms, particularly those utilizing deep learning and machine learning, have the potential to advance and make substantial contributions to mapping mining landscapes (Camalan et al, 2022; Q. Li et al, 2020; Nava et al, 2022) and for mineral exploration (Kreuzer et al, 2020; Yousefi et al, 2019; 2021). This technological development could potentially result in breakthroughs in our understanding of the magnitude and nature of mining impacts globally.…”

Section: Discussionmentioning

confidence: 99%

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Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

Ang

Owen

Gibbins

et al. 2023

The Journal of Environment & Development

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As the mining industry expands, a comprehensive understanding of its socioeconomic risks and benefits is urgently needed. This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number of studies that utilize geographic information systems and remote sensing to study mining impacts increased from 2014 onwards. A framework was used to classify the mining impacts studied in the literature and all eight framework categories – Environment, Land, People, Community, Culture, Livelihoods, Infrastructure and Housing – were captured by the literature though Culture was least studied. Coal mining, active mining phase, Landsat data and classic remote sensing algorithms were most highlighted. Future research should focus on advancing geospatial technology like artificial intelligence (AI) to better capture intangible socioeconomic impacts, under-researched minerals and long-term mine lifecycle components. Spatially referenced social data can improve stakeholder involvement and support spatially explicit planning to ensure sustainability.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

Ang

Owen

Gibbins

et al. 2023

The Journal of Environment & Development

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“…Yousefi et al (2019) and ( 2021) outline a pyramid model concept of an Exploration Information System procedure to overcome some of these challenges by reevaluating the approach to the data-knowledge-information-insight progression. The model consists of defining knowledge relationships for particular mineral deposit types in a mineral systems model, leveraging the relationships to extract key data features representing proxies of the targeted mineral system and integrating these spatial data proxies in a prospectivity analysis for exploration target modeling (Yousefi et al, 2019(Yousefi et al, , 2021.…”

Section: Geologic Resource Assessment Methodologiesmentioning

confidence: 99%

A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems

et al. 2023

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Rare-earth elements (REEs) supply raw materials that constitute many of our modern critical infrastructure, defense, technology, and electrification needs. Despite REE accumulations occurring in conventional bedrock and ion-adsorption deposits sourced from weathering of igneous rocks, unconventional host materials such as coal and related sedimentary strata have been identified as promising sources of REEs to meet growing demand. To maximize the potential of unconventional resources such as REE-coal systems, new approaches are needed overcome challenges from mineral systems with no known deposits and areas with sparse geochemical data. This article presents a systematic knowledge-data resource assessment method for predicting and identifying REE resource potential and occurrence in these unconventional systems. The method utilizes a geologic and geospatial knowledge-data approach informed and guided by REE accumulation mechanisms to systematically assess and identify areas of higher enrichment. An assessment of the Powder River Basin is presented as a test case to demonstrate the method workflow and results. The key output is a potential enrichment score map reported with varying confidence levels based on the amount of supporting evidence. Results from the test case indicate several locations with promising potential for different types of coal-REE deposits, demonstrating the viability of the method for exploration and assessment of unconventional REE resources. The method is flexible by design and, with sufficient applicable knowledge and data, can be adapted for assessing critical mineral systems in other sedimentary systems as well.

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“…The industry can benefit from access to previously unavailable information through the B2B data trade. This would allow partners to exploit the collective data volume though machine learning (ML), artificial intelligence (AI), ,, and digital laboratories with augmented and virtual reality (AR/VR), , and can inform mineral systems analysis and exploration, , process innovation, and supply chain management . Similarly, transdisciplinary stakeholder collaborations can contribute to joint problem solving. Policy Trends and Best Practice Examples .…”

Section: Framework For Systems Integrationmentioning

confidence: 99%

Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources

Simoni,

Drielsma,

Ericsson

et al. 2024

Environ. Sci. Technol.

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Global resource extraction raises concerns about environmental pressures and the security of mineral supply. Strategies to address these concerns depend on robust information on natural resource endowments, and on suitable methods to monitor and model their changes over time. However, current mineral resources and reserves reporting and accounting workflows are poorly suited for addressing mineral depletion or answering questions about the longterm sustainable supply. Our integrative review finds that the lack of a robust theoretical concept and framework for mass-balance (MB)consistent geological stock accounting hinders systematic industrygovernment data integration, resource governance, and strategy development. We evaluate the existing literature on geological stock accounting, identify shortcomings of current monitoring of mine production, and outline a conceptual framework for MB-consistent system integration based on material flow analysis (MFA). Our synthesis shows that recent developments in Earth observation, geoinformation management, and sustainability reporting act as catalysts that make MB-consistent geological stock accounting increasingly feasible. We propose first steps for its implementation and anticipate that our perspective as "resource realists" will facilitate the integration of geological and anthropogenic material systems, help secure future mineral supply, and support the global sustainability transition.

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Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook

Cited by 62 publications

References 123 publications

Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

A Geo-Data Science Method for Assessing Unconventional Rare-Earth Element Resources in Sedimentary Systems

Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources

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