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April 10, 2026Geological Society London Special Publications2 citations

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

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IRIsmo RuohomäkiMPMarko PaavolaKBKamen Bogdanov

Key Points

  • The paper aims to evaluate the impact of seven analytical techniques on five mine sites involved in the Goldeneye project.
  • Implemented a combination of remote sensing and GNSS technologies.
  • Employed data fusion techniques and analytics.
  • Utilized machine-learning algorithms for data processing.
  • Conducted pilot tests at five different mine sites to assess analytical capabilities.
  • Findings indicate significant benefits for mining companies through technology adoption.
  • Contributions support broader industry transformation and digitalization efforts.
  • Impacts are relevant to the entire mining value chain, including EU and national goals.

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.

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Cite This Study

Ruohomäki et al. (2026) studied this question.

synapsesocial.com/papers/69d893406c1944d70ce0438dhttps://doi.org/10.1144/gslspecpub2024-126
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The impact of AI-driven Advance Data Processing using GOLDENAI platform in the Golden Eye project2026
  2. 2Introduction to Applications from Earth Observation to Proximity Sensing for Safe, Sustainable and Cost-Efficient Mining Operations2026
  3. 3The Application Status and Development Trend of Data-driven Technology in Mine Engineering2025
  4. 4Potential of remote sensing in mine closure and post-closure monitoring by expert insights2025 · 1 citations
  5. 5Technofixing the Future in Mining Industry: Ethical Side Effects of Using AI and Big Data to Meet the SDGs2025