The impact of AI-driven Advance Data Processing using GOLDENAI platform in the Golden Eye project

Availability of large-scale geospatial datasets, developments of effective algorithms, and access to powerful computing resources have resulted in the unprecedented quantities of data generated in recent years. This vast volume of available Earth observation data has triggered the need to find new ways to exploit its full potential. The GOLDENAI platform was developed to maximise geospatial data potential specifically for mineral exploration and mining. The platform's innovative component-based architecture consists of a back end for data acquisition, processing, and AI-driven analysis, and a user-friendly front-end for interactive data exploration. Uniquely tailored for the mining sector, the platform integrates automated Artificial Intelligence Knowledge Packs (AIKPs) to streamline processes such as soil moisture time-series analysis, Principal Component Analysis (PCA) for mineral mapping, spectral indices, RGB composites, and unsupervised clustering for geospatial analysis. Throughout the lifecycle of the GoldenEye project and through real-world field trials in the Golden Eye project, we demonstrate how GOLDENAI significantly enhances processing efficiency. This robust and scalable platform, accessible via a web-based interface, simplifies complex data workflows, making it a comprehensive and valuable tool for industry and academic stakeholders in mineral resource management.

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Publication Details

Journal
Geological Society London Special Publications
Published
2026-04-27
DOI
https://doi.org/10.1144/gslspecpub2024-91
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

The impact of AI-driven Advance Data Processing using GOLDENAI platform in the Golden Eye project

Francisco Gutierres, Taras Matselyukh, Barbara Štimac Tumara
Geological Society London Special Publications
Geochemistry and Geologic Mapping
article

The impact of AI-driven Advance Data Processing using GOLDENAI platform in the Golden Eye project

Francisco Gutierres, Taras Matselyukh, Barbara Štimac Tumara
article en

Abstract

Availability of large-scale geospatial datasets, developments of effective algorithms, and access to powerful computing resources have resulted in the unprecedented quantities of data generated in recent years. This vast volume of available Earth observation data has triggered the need to find new ways to exploit its full potential. The GOLDENAI platform was developed to maximise geospatial data potential specifically for mineral exploration and mining. The platform's innovative component-based architecture consists of a back end for data acquisition, processing, and AI-driven analysis, and a user-friendly front-end for interactive data exploration. Uniquely tailored for the mining sector, the platform integrates automated Artificial Intelligence Knowledge Packs (AIKPs) to streamline processes such as soil moisture time-series analysis, Principal Component Analysis (PCA) for mineral mapping, spectral indices, RGB composites, and unsupervised clustering for geospatial analysis. Throughout the lifecycle of the GoldenEye project and through real-world field trials in the Golden Eye project, we demonstrate how GOLDENAI significantly enhances processing efficiency. This robust and scalable platform, accessible via a web-based interface, simplifies complex data workflows, making it a comprehensive and valuable tool for industry and academic stakeholders in mineral resource management.

Geological Society London Special PublicationsVol. 559(1)
Environmental Systems Research Institute (United States) (US), GGZ Noord-Holland-Noord (NL)
Horizon 2020 Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Geochemistry and Geologic Mapping
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