Articles | Volume 65
https://doi.org/10.5194/adgeo-65-171-2025
https://doi.org/10.5194/adgeo-65-171-2025
05 Feb 2025
 | 05 Feb 2025

The Horizon Europe AGEMERA Project: Innovative Non-Invasive Geophysical Methodologies for Mineral Exploration

Jari Joutsenvaara, Marko Holma, Pasi Kuusiniemi, Jarmo Korteniemi, Helena Seivane, David Marti-Linares, Martin Schimmel, Giulio Casini, Grant George Buffett, Markku Pirttijärvi, Ari Saartenoja, Barbara Štimac Tumara, and Ivan Kapustin

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Cited articles

Barnoud, A., Cayol, V., Niess, V., Cârloganu, C., Lelièvre, P., Labazuy, P., and Le Ménédeu, E.: Bayesian joint muographic and gravimetric inversion applied to volcanoes, Geophys. J. Int., 218, 2179–2194, https://doi.org/10.1093/GJI/GGZ300, 2019. 
Beni, T., Borselli, D., Bonechi, L., Bongi, M., Brocchini, D., Ciaranfi, R., Cimmino, L., Ciulli, V., D'Alessandro, R., Dini, A., Frosin, C., Gigli, G., Gonzi, S., Guideri, S., Lombardi, L., Nocentini, M., Saracino, G., and Casagli, N.: Transmission-Based Muography for Ore Bodies Prospecting: A Case Study from a Skarn Complex in Italy, Nat. Resour. Res., 32, 1529–1547, https://doi.org/10.1007/s11053-023-10201-8, 2023. 
Berbellini, A., Schimmel, M., Ferreira, A. M. G., and Morelli, A.: Constraining S-wave velocity using Rayleigh wave ellipticity from polarization analysis of seismic noise, Geophys. J. Int., 216, 1817–1830, 2019. 
Chamarczuk, M., Malinowski, M., Draganov, D., Koivisto, E., Heinonen, S., and Rötsä, S.: Reflection imaging of complex geology in a crystalline environment using virtual-source seismology: case study from the Kylylahti polymetallic mine, Finland, Solid Earth, 13, 705–723, https://doi.org/10.5194/se-13-705-2022, 2022. 
Cheraghi, S., Craven, J. A., and Bellefleur, G.: Feasibility of virtual source reflection seismology using interferometry for mineral exploration: A test study in the Lalor Lake volcanogenic massive sulphide mining area, Manitoba, Canada, Geophys. Prospect., 63, 833–848, 2015. 
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Short summary
The AGEMERA project (Agile Exploration and Geo-Modelling for European Critical Raw Materials) enhances EU critical raw materials exploration by integrating non-invasive methods such as ambient noise passive seismic, drone-based surveys, and muography. These technologies map bedrock properties and resource distribution effectively, feeding data into a comprehensive web-based repository for strategic analysis.
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