Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations
The Goldeneye project will implement 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 platform will allow satellites, drones and in-situ sensors to collect high-resolution data of the entire mine, which can be processed and converted into actionable intelligence for safety, environmental monitoring and overall productivity, allowing more efficient exploration, extraction and closure. These tools will be demonstrated in 5 field trials in Germany, Bulgaria, Romania, Kosovo and Finland, creating a compelling value proposition for implementation across the mining industry value chain. The project has a duration of 3 years and an EC funding of €8.36M. The consortium includes a large industrial partner, 7 SMEs, 4 academic/research centres and 4 end-users, supported by a strong advisory board of experts in geosciences.
The Goldeneye project will implement 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 platform will allow satellites, drones and in-situ sensors to collect high-resolution data of the entire mine, which can be processed and converted into actionable intelligence for safety, environmental monitoring and overall productivity, allowing more efficient exploration, extraction and closure. These tools will be demonstrated in 5 field trials in Germany, Bulgaria, Romania, Kosovo and Finland, creating a compelling value proposition for implementation across the mining industry value chain. The project has a duration of 3 years and an EC funding of €8.36M. The consortium includes a large industrial partner, 7 SMEs, 4 academic/research centres and 4 end-users, supported by a strong advisory board of experts in geosciences.

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| Description | Stores the user session ID for Academic Bibliometrics & Assessment Computational Utility Service. |
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