The Multi-source and Multi-scale Earth observation and Novel Machine Learning Methods for Mineral Exploration and Mine Site Monitoring (MultiMiner) project develops novel data processing algorithms for cost-effective utilization of Earth Observation (EO) technologies for mineral exploration and mine site monitoring. MultiMiner unlocks the potential of EO data, including Copernicus, commercial satellites, upcoming missions, airborne and low altitude as well as in situ data, to support the entire mining life cycle including mineral exploration, operational, closure and post-closure stages. This is achieved by creating generic but highly innovative machine learning solutions which do not require any or only little ground truth data. The project focuses on new EO based exploration technologies for critical raw materials (CRM) to increase the probability of finding new sources within EU thereby strengthening the EU autonomy in the area of raw materials. MultiMiner EO based exploration solutions have extremely low environmental impact, and are thus socially acceptable, economically efficient and improve safety. The project’s solutions for mine site monitoring increase the transparency of mining operations as environmental impacts can be detected as early as possible and digital information of the currently unexploitable raw materials can be stored for future generations. The applicability of the developed algorithms is demonstrated in 4 European test sites. MultiMiner is a pan-European consortium consisting of 12 partners and 1 associated partner from research institutes, academia, consulting businesses and mining industry with interdisciplinary backgrounds in geology, remote sensing and machine learning. The members come from six EU member states which represent mining regions across Europe with diverse geology with evident potential for various types of CRM resources and thousands of operational and closed mines.

The GoldenRAM (G-RAM) project will provide easy exchange of accurate information on Raw Materials in the European Union and partnering resource-rich countries for organisations engaged in the mining industry and public stakeholders. The project will develop an Earth Observation Platform (G-RAM platform) leveraging novel Artificial Intelligence (AI) Natural Language processing in combination with advanced, proprietary Artificial Intelligence Knowledge Packs (AIKPs) which simplify complex computation workflows and provide seamless access to a unique and validated combination of geological and remote sensing data, domain expertise, and multipurpose mapping technologies for geological and mining industry stakeholders. Especially, the introduction of AIKPs plays an important role in advancing the TRL of state-of-the-art solutions and enabling their wider adoption among the industry and stakeholders. The G-RAM platform will be demonstrated in 6 field trials in Finland (2 sites), Sweden, Romania, Ukraine, and Portugal creating a compelling value proposition for implementation across the mining industry value chains and improving responsible and sustainable supply of CRMs: Co, Li, REE, P; PGMs Pd and Pt; as well as Cu and Ni to Europe. The project will increase the raw material investment potential for Ukraine by promoting exploitation prospects via the G-RAM platform therefore supporting implementation of the Roadmap for EU-Ukraine Strategic Partnership on raw materials. The consortium brings together interdisciplinary expertise fit to solve the challenges related to the building of large-scale ICT platforms, geologic and remote-sensing know-how, benchmarking, market analysis, business modelling and result dissemination, and will include 4 academic/research centres, 5 SMEs, and 4 end-users, supported by a strong External Advisory Board of experts in geosciences and mining.

NEXT proposal has been compiled by a pan-European consortium, which consists of 16 partners from leading research institutes (3), academia (3), service providers (5) and industry (5). The members come from 6 EU member states (Fi, FR, DE, MT, ES and SE) and represent the main metal producing regions of Europe, Fennoscncian Shield, Iberian Pyrite Belt and Central European Belt. These economically most important metallogenic belts of the EU have diverse geology with evident potential for different types of new mineral resource. The mineral deposits in these belts are the most feasible sources of critical, high-tech and other economically important metals in the EU. The project consortium has also a vast international collaboration network, e.g. 50% of the Advisory Board members have been invited from outside EU. In addition to the variable geology, the vulnerability of the environment and the glacial sedimentary cover in the Arctic regions of northern Europe, and the thick weathering crust and more densely populated nature of the target areas in the Iberian and Central European belts influence the mineral exploration in different ways. The social conditions in potential benefits and challenges also vary. Therefore the new environmentally sound exploration concepts and technologies will be optimized and tested on diverse mineral deposit types. NEXT will develop new geomodels, novel sensitive exploration technologies and data analysis methods which together are fast, cost-effective, environmentally safe and socially accepted. Methods developed reduce the current high exploration costs and enhance participation of civil society from the start of exploration, raising awareness and trust. Moreover, the reduced environmental impact of the new technologies and better knowledge about the factors influencing social licensing will help promote social acceptance of both exploration and mining and therefore support the further development of Europe´s extractive industry.