SOURCE-LINKED INTELLIGENCE

MINEYE - EARTH OBSERVATION TECHNIQUES FOR MINE LIFE CYCLE MONITORING USING ML-BASED DATA FUSION APPROACH

CORDIS · observation · Publication date unknown

INEYE unlocks the potential of EO data, including Copernicus, commercial satellites, upcoming hyperspectral missions, airborne as well as in situ data. This is achieved by creating generic innovative machine learning algorithms tailored to solve specific needs within the mining value chain. MINEYE’s overall objective and ambition is to increase the access to critical and strategic minerals and metals in Europe with full consideration of environmental and social aspects, by providing the mining industry with proven and validated solutions for uptake of EO data and technology. MINEYE's final product is a web-interface, IPOP (Interfacing, Programming and Optimisation Platform) for providing data and result. IPOP has three outputs each covering a specific part of the mining value chain: (1) methods for Mineral Prospectivity Mapping (2) EO plugin for LiquidEarth software for 3D modelling, (3) evaluation and maps of re-mining potential and tailings characterization. In addition, ground stability assessment and environmental monitoring are included to support the development of a sociall

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recordType

award

status

SIGNED

region

EU

value

5777167.78

unit

EUR