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

Funded by the European Union

m4mining is funded by the European Union’s Horizon Europe programme under Grant Agreement ID 101091462

User-led research centred on mining interests

m4mining aims to improve material characterization during extraction, re-mining, and environmental impact monitoring. The consortium works together to map and monitor active and inactive mining sites using UAV and satellite sensors. We work to achieve real-time mineral classification via UAV, allowing seamless 3D visualization for decision-makers on the ground. The infrastructure (hardware and software) will be developed through direct conversations with stakeholders on a mineral advisory board.


M4Mining: Developing New, Sustainable, Profitable, and Resilient Workflows for Mining Environments from NORCE on Vimeo.


Develop.

Real-time hardware & software infrastructure for hyperspectral-3D 
UAV platforms.

Monitor.

Hyperspectral UAV and multispectral satellite data for multiscale monitoring workflows.

Demo.

In active and legacy mines in Australia, Greece, Norway, and the Republic of Cyprus.

Trial.

In relevant mining environments, both active and abandoned. Case studies in bauxite, Au- and Cu- and U-REE tailings.

Our aim

multi-scale and multi-temporal remote sensing sensors and methods


Integration of acquisition, processing, and dynamic analysis and visualization of data from active and legacy mining and tailing sites to improve close-to-face sorting, material stream distribution, re-mining of secondary raw materials, and monitoring of the environmental impact of commercial mining activities.

from Matthew de Livera found on Unsplash

Speed

UAV real-time infrastructure


Our solution aims to enable increased productivity, reduced environmental footprint of tailings, early waste rejection, reduced material re-handling and erroneous allocation of material in waste or stockpiles, improved deposit modelling, increased re-mining and predictive tailings management, reduced feed variability, and more.

3

Popular Science Articles

2

Live Demos and Workshops

10

Industry Exhibitions and Conference Presentations

4

Press Releases

17407

Total Linkedin Impressions

0

Scientific publications

Partners and Case Study sites

Multidisciplinary consortium


The consortium covers the complete value chain from hardware suppliers, system integrators, processing and visualization software providers, leading research institutes in relevant methods and applications, and stakeholders in case study technology validation. This ensures access to the infrastructure and expertise necessary to investigate our research questions for the relevant case study sites and mining partners within our mineral advisory board.

map of Eurasia, Africa, Australasia showing the location of the partner organisations and the test sites.

A team of Experts

Our consortium

NORCE logo
Norsk Elektro Optikk Logo
German Research Center for Geosciences Helmholtz Center Potsdam Logo
Lulea university of technology logo
Prediktera Logo
Cyprus Geological Survey MOA Logo
University of Patras Logo
The University of Queensland Australia Logo
ReSe Applications Logo

Reach out!

chat bubble by Theos studio from <a href=

m4mining is funded by the European Union’s Horizon Europe programme under the Grant Agreement ID 101091462

This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI)

Please have a look at our “Easy Read” page in case you find the information on this website hard to understand. Not all scientific terms may be easy to understand, and we want everyone to be able to learn about our project.