Aligning Analytical Capabilities with Mining Industry Needs: Impact Analysis of Emerging Technologies from the Goldeneye Project at Five Mine Sites

The Goldeneye i.e. ‘Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations’ project implements a unique combination of remote sensing and positioning technologies, exploiting Earth observation and Earth GNSS data, together with data fusion and processing powered by data analytics and machine-learning algorithms. The aim of this paper is to evaluate the impact provided seven techniques and methods for the five mine sites in the project Goldeneye. The emphasis is to analyze and reflect, how and with what focus areas developed analytical capabilities meet the needs of different mine sites that were collaborated in the project in piloting and testing. The results show that the outcomes of this R&D project hold immense significance for the mining industry, as they contribute to its transformation, digitalization, and twin transition. This contribution is realized through the broad adoption of sensing and AI-based applications, solutions, and services within the mining industry. This benefits not only the companies directly involved but also the entire value chain, related industries, and contributes to the EU-level and national goals in the mining sector.

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Publication Details

Journal
Geological Society London Special Publications
Published
2026-04-07
DOI
https://doi.org/10.1144/gslspecpub2024-126
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

Aligning Analytical Capabilities with Mining Industry Needs: Impact Analysis of Emerging Technologies from the Goldeneye Project at Five Mine Sites

Kamen Bogdanov, Ismo Ruohomäki, Marko Paavola, Andreas Knobloch et al.
Geological Society London Special Publications
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article

Aligning Analytical Capabilities with Mining Industry Needs: Impact Analysis of Emerging Technologies from the Goldeneye Project at Five Mine Sites

Kamen Bogdanov, Ismo Ruohomäki, Marko Paavola, Andreas Knobloch, Taras Matselyukh, Barbara Štimac Tumara
article en

Abstract

The Goldeneye i.e. ‘Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations’ project implements a unique combination of remote sensing and positioning technologies, exploiting Earth observation and Earth GNSS data, together with data fusion and processing powered by data analytics and machine-learning algorithms. The aim of this paper is to evaluate the impact provided seven techniques and methods for the five mine sites in the project Goldeneye. The emphasis is to analyze and reflect, how and with what focus areas developed analytical capabilities meet the needs of different mine sites that were collaborated in the project in piloting and testing. The results show that the outcomes of this R&D project hold immense significance for the mining industry, as they contribute to its transformation, digitalization, and twin transition. This contribution is realized through the broad adoption of sensing and AI-based applications, solutions, and services within the mining industry. This benefits not only the companies directly involved but also the entire value chain, related industries, and contributes to the EU-level and national goals in the mining sector.

Geological Society London Special PublicationsVol. 559(1)
Community Options (United States) (US), Sofia University "St. Kliment Ohridski" (BG), VTT Technical Research Centre of Finland (FI)
Horizon 2020 Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Geochemistry and Geologic Mapping
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