The impact of AI-driven advance data processing using GOLDENAI platform in the Goldeneye project

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Authors: Barbara Štimac Tumara, Taras Matselyukh, Francisco Reis Sacramento Gutierres
Cited by: 1
References: 29

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 being 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 maximize 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, artificial intelligence (AI)-driven analysis, and a user-friendly front-end for interactive data exploration. Uniquely tailored for the mining sector, the platform integrates automated AI knowledge packs to streamline processes such as soil moisture time-series analysis, principal component analysis 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.

Fields of Study & Subjects

Geochemistry and Geologic Mapping Soil Geostatistics and Mapping Mineral Processing and Grinding

Publication details

Journal / source
Geological Society London Special Publications
Publisher
Geological Society of London
Volume
559
Issue
1
Publication date
27 April 2026
Language
EN