As Europe accelerates its transition towards renewable energy, electric mobility and digital infrastructure, one question is becoming increasingly urgent: where will the critical raw materials needed to power these technologies come from?
Lithium for batteries, rare earth elements for wind turbines, and copper for electrical networks are essential components of the technologies driving the green and digital transitions. Yet global supply chains for many of these materials remain highly concentrated outside Europe.
Reducing this dependency and strengthening the resilience of European supply chains has therefore become a strategic priority under the European Critical Raw Materials Act, which aims to scale up domestic production, diversify sourcing and increase recycling of critical raw materials across the EU.
At the same time, achieving these objectives will depend not only on policy measures and investment, but also on new technologies capable of transforming how mineral resources are explored, monitored and managed.
A Collaborative European Research Effort
Across Europe, several research initiatives funded under Horizon Europe are developing innovative solutions to support a more sustainable and resilient raw materials sector.
Six of these projects collaborate within the European Sustainable Mining and Innovation Network (ESMIN):
- MultiMiner
- GoldenRAM
- MOSMIN
- AGEMERA
- M4Mining
- MINEYE
While each project focuses on different aspects of the mining lifecycle, they share a common objective: leveraging digital technologies such as Earth Observation and artificial intelligence to support innovation across the raw materials value chain.
Together, the projects are exploring how satellite data, drones, geophysical measurements and advanced analytics can improve mineral exploration, strengthen environmental monitoring and support safer and more efficient mining operations.
Mining Meets the Digital Age
Advances in Earth Observation (EO) and machine learning (ML) are beginning to reshape the way geological information is collected and analysed.
High-resolution satellite imagery can reveal subtle geological patterns across vast areas, helping identify regions that may host mineral deposits. Drone-based hyperspectral sensors can detect mineral signatures from the air, providing detailed information about surface composition. Meanwhile, artificial intelligence can analyse complex geospatial datasets to identify patterns that may otherwise remain hidden.
These digital capabilities allow researchers and industry stakeholders to better understand geological environments and mining activities, while also providing new tools to monitor environmental impacts and operational risks.
Across the ESMIN projects, such technologies are being applied at different stages of the mining lifecycle—from early exploration and prospectivity analysis to mine-site monitoring and post-closure environmental assessment.
The Role of GoldenRAM
Within this collaborative effort, GoldenRAM is developing a cloud-based platform designed to integrate Earth Observation data, geospatial datasets and artificial intelligence tools into a single environment for raw materials intelligence.
By combining multiple data sources with advanced analytics, the platform aims to support stakeholders across the sector—including mining companies, regulators, researchers and investors—by providing tools that facilitate data-driven decision-making.
Applications under development include AI-driven mineral prospectivity analysis, environmental monitoring tools and analytics supporting circular approaches to resource management.
From Innovation to Implementation
Despite rapid technological progress, the integration of digital tools into the mining sector remains uneven.
Barriers such as limited awareness of EO capabilities, fragmented regulatory frameworks and uneven access to high-resolution data continue to slow adoption in some parts of the industry. Building expertise in geospatial analytics and artificial intelligence will also be essential for translating research innovation into operational practice.
Collaborative initiatives such as the ESMIN network aim to address these challenges by sharing knowledge across projects and contributing evidence-based insights to policy discussions on the future of the raw materials sector.
Explore the Policy Brief
To capture early insights from this collaboration, the six projects have jointly produced a policy brief examining how Earth Observation and machine learning can support Europe’s critical raw materials strategy and the objectives of the Critical Raw Materials Act.
The full publication is available on Zenodo: https://zenodo.org/records/18610989