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

Projektinformationen

m4mining

ID Finanzhilfevereinbarung: 101091462

DOI

10.3030/101091462

Projekt abgeschlossen

EK-Unterschriftsdatum 21 November 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2025

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 4 696 629,74

EU-Beitrag

€ 4 499 512,13

Koordiniert durch

NORCE RESEARCH AS
Norway

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Data Management Plan (3)

Data Management Plan Final

Project data management plan, final versionLinked to Task: T 1.1, T 1.3

Data Management Plan V1

Project data management plan, version 1Linked to task: T 1.1, T 1.3

Data Management Plan V2

Project data management plan, version 2Linked to Task: T 1.1, T 1.3

Websites, patent fillings, videos etc. (2)

Website portal and social media channels

Establishing project web presence through website, identity and social media channelsLinked to Task: T 1.1, T 10.4

Technology validation of real-time processing workflow at test site

Results of real-time workflow validationLinked to Task: T 4.2, T 4.3, T 6.1.0

Data sets, microdata, etc (2)

Publication of validated material distribution maps for the different case study sites

Example mapping results from the case studies will be publishedLinked to Task: T 8.1, T 8.2

Publication of non-confidential data sets (UAV and ground truth data) to enable a broad engagement with the data in the research community

Selected UAV datasets and metadata published as open dataLinked to Task: T 6.1, T 8.1

Documents, reports (9)

Report on joint activities of the mineral advisory board II

Annual report detailing activities of the MIAB, year 2Linked to Task: T 9.4

Reporting on case study data collection successes and milestones for the different case study sites

An accessible report on the project case studies - outcomes and learningsLinked to Task: T 6.1

Final report on dissemination, communication, and exploitation

Dissemination plan, version 2Linked to Task: 10.4

Report on joint activities of the mineral advisory board I

Annual report detailing activities of the MIAB, year 1Linked to Task: T 9.4

Initial plan for dissemination, communication, and exploitation

Dissemination plan, version 1Linked to Task: T 10.4

UAV safety guidelines published in a White Paper

Public white paper covering best practise safety guidelines in mining operationsLinked to Task: T 2.2

Report on joint activities of the mineral advisory board III

Annual report detailing activities of the MIAB, year 3Linked to Task: T 9.4

Trade-off report on data analysis techniques and products on UAV data

Report on UAV analysis methods and output products from mining/tailings sitesLinked to Task: T 7.1

Trade-off report on data analysis techniques and products on satellite data

Report on satellite analysis methods and output products from mining/tailings sitesLinked to Task: T 7.2

Demonstrators, pilots, prototypes (2)

UAS integrated with multi-sensor payload ready to fly

Demonstration of m4mining integrated UAS components in live sessionLinked to Task: T 2.1, T 3.1

Technology validation with end-users to demonstrate finished system under anticipated operating conditions

Live demonstration to showcase developed system in operational environmentLinked to Task: T 6.1

Veröffentlichungen

Conference proceedings (7)

Next-gen UAV hyperspectral processing: transforming UAV platforms into real-time end-user solutions with 3D hypermesh creation

Autoren: Trond Løke, Agnar Sivertsen, Daniel Stødle, Sigurd Løkse, Axel Bohman, Daniel Schläfpher
Veröffentlicht in: Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXXI, 2025
Herausgeber: SPIE
DOI: 10.1117/12.3054170

Mineral mapping using satellite multispectral and hyperspectral data for a pyrite mine in the frame of the m4mining project

Autoren: Evlampia Kouzeli; Olga Sykioti; Konstantinos Nikolakopoulos; Saeid Asadzadeh; Friederike Koerting; Daniel Schläpfer
Veröffentlicht in: Bulletin of the Geological Society of Greece – Special Publication No. 15 (17th International Congress of the Geological Society of Greece), Ausgabe 15, 2025
Herausgeber: Geological Society of Greece

3D representation of a bauxite mine in the frame of m4mining project

Autoren: Konstantinos G. Nikolakopoulos, Aggeliki Kyriou, Evlampia Kouzeli, Saeid Asadzadeh, Nicole Köllner, Friederike Körting, Justus Constantin Hildebrand, Steven Micklethwaite, Ekaterina Savinova
Veröffentlicht in: Earth Resources and Environmental Remote Sensing/GIS Applications XV, 2024, ISSN 1996-756X
Herausgeber: SPIE – The International Society for Optics and Photonics
DOI: 10.1117/12.3031850

BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization

Autoren: Mario A.V. Saucedo, Nikolaos Stathoulopoulos, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
Veröffentlicht in: 2024 32nd Mediterranean Conference on Control and Automation (MED), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2408.14941

Mineral mapping using Spectral Angle Mapper on multisensor remote sensing data

Autoren: Evlampia Kouzeli, Konstantinos G. Nikolakopoulos, Aggeliki Kyriou, Ioannis Pantelidis, Harilaos Tsikos, Dimitrios Paliatsas, Saeid Asadzadeh, Friederike Koerting, Daniel Schläpfer
Veröffentlicht in: Earth Resources and Environmental Remote Sensing/GIS Applications XVI, 2025
Herausgeber: SPIE
DOI: 10.1117/12.3071923

A Surface Adaptive First-Look Inspection Planner for Autonomous Remote Sensing of Open-Pit Mines

Autoren: Vignesh Kottayam Viswanathan, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
Veröffentlicht in: 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2410.10256

Next‑gen UAV hyperspectral processing: transforming UAV platforms into real‑time end‑user solutions with 3D hypermesh creation

Autoren: Trond Løke; Agnar Sivertsen; Daniel Stødle; Sigurd Løkse; Axel Fredrik Bohman; Daniel Schläpfer
Veröffentlicht in: Proceedings of SPIE – The International Society for Optics and Photonics, Ausgabe Volume 13455; Article 1345508 (6 pp.), 2025, ISSN 1996-756X
Herausgeber: SPIE (Society of Photo‑Optical Instrumentation Engineers)
DOI: 10.1117/12.3054170

Peer reviewed articles (4)

VNIR-SWIR Imaging Spectroscopy for Mining: Insights for Hyperspectral Drone Applications

Autoren: 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
Veröffentlicht in: Mining, 2024, ISSN 2673-6489
Herausgeber: MDPI (Multidisciplinary Digital Publishing Institute)
DOI: 10.3390/MINING4040057

Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project

Autoren: Evlampia Kouzeli; Konstantinos Nikolakopoulos; Olga Sykioti; Saeid Asadzadeh; Friederike Koerting; Daniel Schläpfer
Veröffentlicht in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025, ISSN 2194-9034
Herausgeber: Copernicus GmbH (Copernicus Publications)
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-M-7-2025-113-2025

Leveraging EnMAP hyperspectral data for mineral exploration: Examples from different deposit types

Autoren: Saeid Asadzadeh, Sabine Chabrillat
Veröffentlicht in: Ore Geology Reviews, Ausgabe 186, 2025, ISSN 0169-1368
Herausgeber: Elsevier BV
DOI: 10.1016/J.OREGEOREV.2025.106912

Drone-Based VNIR–SWIR Hyperspectral Imaging for Environmental Monitoring of a Uranium Legacy Mine Site

Autoren: Victor Tolentino, Andres Ortega Lucero, Friederike Koerting, Ekaterina Savinova, Justus Constantin Hildebrand, Steven Micklethwaite
Veröffentlicht in: Drones, Ausgabe 9, 2025, ISSN 2504-446X
Herausgeber: MDPI AG
DOI: 10.3390/DRONES9040313