EGU23-17075
https://doi.org/10.5194/egusphere-egu23-17075
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Goldeneye –a multisource AI-enabled earth observation platform for mining applications

Marko Paavola
Marko Paavola

The Goldeneye project has implemented 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 allows satellites, drones and in-situ sensors to collect high-resolution data, 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 have been demonstrated in 5 field trials in Germany, Bulgaria, Romania, Kosovo and Finland, and the initial results show significant time and cost savings, even up to 80%, for example, in exploration and mine safety, environmental and operations reporting. The project has a duration of 3,5 years and an EC funding of €8.36M. The multidisciplinary consortium includes industrial partners, SMEs, academic/research centres and end-users.

The project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No [869398].

How to cite: Paavola, M.: Goldeneye –a multisource AI-enabled earth observation platform for mining applications, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17075, https://doi.org/10.5194/egusphere-egu23-17075, 2023.