m4mining: Multi-scale, Multi-sensor Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments

Digital, Industry & SpaceHORIZON-RIAID: 101091462
EC Contribution
€44,995
Consortium Size
9 orgs
Start Year
2023
Summary

The m4mining project aims to provide an integrated remote sensing approach for mapping and monitoring active and inactive mining sites. Hyper- and multispectral imaging combined with 3D surface measurement will be utilised for material identification from the detailed mine face to the site scale using unmanned aerial vehicles (UAVs) and satellite sensors. Central to the proposed work is a synergistic unification of UAV and satellite-based processing algorithms, workflows and decision-making tools at timescales required to impact active operations and environmental and risk management of tailings and waste sites.A novel UAV system will combine hyperspectral, lidar, navigation, on-board computing systems and telemetry to acquire high-resolution oblique datasets from mine faces and tailings. Key innovations will be dynamic processing of spectral and lidar data, communicating initial results to on-site users, allowing interactive presentation and decision-making while the UAV is in flight. In addition, high quality results be rapidly available for integration with site-scale satellite workflows and enhanced classification algorithms. This combined approach offers a step-change in active mine operations and tailings management, paving the way for novel products and services. New applications include improved sorting of material during extraction, material quality assessment, re-mining of secondary raw materials, as well as monitoring environmental impact. m4mining will contribute to reduced energy consumption through faster response times for mine operators and will impact digitalisation of mining. The main result will be technology validation in operational environments: three sites in EU and key EU raw materials import markets will be used, in Cyprus, Greece and Australia.The project consortium is established from internationally leading commercial hardware and software providers, research groups in technology and applications in mining, and public stakeholders.

Consortium (9)

Project Results (20)

Source: CORDIS, the EU research results database.

Publications (10)
Drone-Based VNIR–SWIR Hyperspectral Imaging for Environmental Monitoring of a Uranium Legacy Mine Site
Drones· 2025DOI
Victor Tolentino, Andres Ortega Lucero, Friederike Koerting, Ekaterina Savinova, Justus Constantin Hildebrand, Steven Micklethwaite
Leveraging EnMAP hyperspectral data for mineral exploration: Examples from different deposit types
Ore Geology Reviews· 2025DOI
Saeid Asadzadeh, Sabine Chabrillat
Mineral mapping using satellite multispectral and hyperspectral data for a pyrite mine in the frame of the m4mining project
Bulletin of the Geological Society of Greece – Special Publication No. 15 (17th International Congress of the Geological Society of Greece)· 2025
Evlampia Kouzeli; Olga Sykioti; Konstantinos Nikolakopoulos; Saeid Asadzadeh; Friederike Koerting; Daniel Schläpfer
Mineral mapping using Spectral Angle Mapper on multisensor remote sensing data
Earth Resources and Environmental Remote Sensing/GIS Applications XVI· 2025DOI
Evlampia Kouzeli, Konstantinos G. Nikolakopoulos, Aggeliki Kyriou, Ioannis Pantelidis, Harilaos Tsikos, Dimitrios Paliatsas, Saeid Asadzadeh, Friederike Koerting, Daniel Schläpfer
Next-gen UAV hyperspectral processing: transforming UAV platforms into real-time end-user solutions with 3D hypermesh creation
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXXI· 2025DOI
Trond Løke, Agnar Sivertsen, Daniel Stødle, Sigurd Løkse, Axel Bohman, Daniel Schläfpher
Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· 2025DOI
Evlampia Kouzeli; Konstantinos Nikolakopoulos; Olga Sykioti; Saeid Asadzadeh; Friederike Koerting; Daniel Schläpfer
3D representation of a bauxite mine in the frame of m4mining project
Earth Resources and Environmental Remote Sensing/GIS Applications XV· 2024DOI
Konstantinos G. Nikolakopoulos, Aggeliki Kyriou, Evlampia Kouzeli, Saeid Asadzadeh, Nicole Köllner, Friederike Körting, Justus Constantin Hildebrand, Steven Micklethwaite, Ekaterina Savinova
A Surface Adaptive First-Look Inspection Planner for Autonomous Remote Sensing of Open-Pit Mines
2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)· 2024DOI
Vignesh Kottayam Viswanathan, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization
2024 32nd Mediterranean Conference on Control and Automation (MED)· 2024DOI
Mario A.V. Saucedo, Nikolaos Stathoulopoulos, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
VNIR-SWIR Imaging Spectroscopy for Mining: Insights for Hyperspectral Drone Applications
Mining· 2024DOI
Friederike Koerting; Saeid Asadzadeh; Justus Constantin Hildebrand; Ekaterina Savinova; Evlampia Kouzeli; Konstantinos Nikolakopoulos; David Lindblom; Nicole Koellner; Simon J. Buckley; Miranda Lehman; Daniel Schläpfer; Steven Micklethwaite
Deliverables (9)
Other Results (1)
Periodic Reporting for period 1 - m4mining (m4mining: Multi-scale, Multi-sensor Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments)