In English

Making Finland a global leader of sustainable mineral industry requires continuous improvement of expertise in mining indstry.  Mineral extraction industry demands for fast, cost efficient and safe remote sensing methods. This research aims at developing novel remote sensing techniques including active 3-dimensional hyperspectral imaging, background-free Raman, and laser induced breakdown spectroscopy (LIBS) combined with multisensor positioning. These new technologies enable automatic identification, classification, and mapping of minerals as well as improving the mining safety. Compared to the state-of-the-art passive optical imaging currently used in mining industry, our technologies enable remote sensing from distances reaching hundreds of meters. We will also make use of the 3D laser scanning information to enhance and automate the identification of mineral deposits, thus allowing for efficient mining of mineral deposits that are challenging for current extraction techniques.

Our project in Tekes Challenge Finland project gallery

 

Newest results:

VTTkuva

Watch the video of Priit Jaanson’s talk ‘A continuously tunable NIR laser and its applications in material classification’ at the SPIE conference here!

laser pulses

Julian Ilinca’s MSc (Tech) thesis ‘Radiometric Calibration of the Finnish Geospatial Research Institute Hyperspectral LiDAR‘ now available in Aalto web pages. Sampling of the FGI-HSL pulses was studied and optimized. (Image: FGI-HSL pulses plotted at all eight wavelengths).

cof

Poster ‘A framework for multisensor positioning snf navigstion in underground mines’ presented by Vincenzo Di Pietra in International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, Sep 2018.

 

20180530_094529

Kaivos project booth at Mines and Technology Helsinki 2018: VTT’s active hyperspectral imaging device scanning on Outokumpu rocks, and distinguishing between ore and gangue.

mineralvsgangue

The spectra of minerals and gangue in the visible spectral region. The different minerals show different reflectance trends.

 

Events 2017-2018

17.12.2018 Final Steering Group Meeting, Pasila

23.11.2018 INTO Indoor Navigation Seminar, Scandic Park, Helsinki

21.-22.11.2018 Finnmateria exhibition, Jyväskylä, the Kaivos project will be an exhibitor

5.-6.11.2018 GIS Expo, Messukeskus Conference Centre, Helsinki. Kaivos project infos on both days at the FGI stand.

5.-8.11.2018 OSA Light, Energy and the Environment Congress / Hyperspectral Imaging and Sounding of the Environment (HISE), Sentosa Island, Singapore. Presentation Improving the Full Waveform Digitizing in an Eight Channel Hyperspectral Lidar’ by Tuomo Malkamäki

24.-27.9. 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, France. Poster ‘A framework for multisensor positioning snf navigstion in underground mines’ presented by Vincenzo Di Pietra

10.-13.9. SPIE remote sensing, Berlin. Presentation: ‘A continuously tunable NIR laser and its applications in material classification’ by Priit Jaanson

7.8. Progress meeting 5

22.-27.7.2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, Valencia, Spain. Invited presentation: ‘Multispectral Terrestrial Laser Scanning: New Developments and Applications‘ by Sanna Kaasalainen et al.

12.6. 3rd steering group meeting, VTT

29.-31.5. Mines and Technology Helsinki 2018, the Kaivos project was one of the exhibitors

23.-24.5. Pohjoinen Teollisuus, Oulu, VTT were demonstrating the new instrument

23.-26.4.2018: IEEE/ION PLANS 2018, presentation: ‘Multisensor Navigation in Urban Environment‘ by Andrea Della Monica

16.-18.4.2018 Workshop on Challenges in Arctic Navigation, Olos, Lapland. Poster presentation on the project: ‘Efficient & safe identification of minerals – Smart real-time methods’. Sanna Kaasalainen, Tuomo Malkamäki, Laura Ruotsalainen

4.4.2018 Progress meeting 4

17.1.2018 The project is now on Twitter: @KaivosProject

10.-12.1.2018 Nordic Geological Winter Meeting, Copenhagen. Presentation ‘Towards Real-Time Ore Grade Evaluation using Laser-Induced Breakdown Spectroscopy‘, Lasse Kangas, Roel van Toorenenburg, and Jussi Leveinen

14.12. 2017 Progress meeting 3

14.11.2017 2nd steering group meeting, NLS, Pasila

Nov 2017: Questionnaire on sensor technology for people working in geosciences (in Finnish)! Click here.

15.9.2017 Progress meeting 2

9.6.2017 Progress meeting 1

12.4.2017 Visit to Outokumpu Kemin Mine (FGI, CC)

21.3.2017 1st steering group meeting, VTT, Espoo

Partners

Finnish Geospatial Research Institute (FGI)

VTT Technical Research Centre of Finland Ltd

Aalto University, School of Engineering

Agnico Eagle Finland Oy

Cybercube Oy

Grundium Oy

Outokumpu Chrome, Kemi mine

Robit Oyj

Publications etc.

Kangas L., et al., 2016. Identification of rocks using a hyperspectral supercontinuum lidar. 35:th International Geological Congress proceedings, paper 4995.

Kaasalainen, S., Ruotsalainen, L., Kirkko-Jaakkola, M., Nevalainen, O., and Hakala, T., 2017. Towards Multispectral, Multi-Sensor Indoor Positioning and Target Identification. Electronics Letters, Volume 53, Issue 15, 20 July 2017, p. 1008 – 1011.

Andrea Della Monica, Politecnico di Torino, Italia: GNSS and multi-sensor integration, MSc Thesis, 2017

Suksi Teemu, Aalto University: Hardness Classification of Rocks Using Spectroscopy, MSc Thesis, 2017

Della Monica, A., Ruotsalainen, R., and Dovis, F., 2018. Multisensor Navigation in Urban Environment, Position, Location and Navigation Symposium (PLANS), 2018 IEEE/ION

Kaasalainen, S., et al., 2018. Multispectral terrestrial laser scanning: New developments and applications, proceedings of IGARSS, 2018.

Jaanson, P., et al., 2018 A continuously tunable NIR laser and its applications in material classification. Proceedings Volume 10791, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIV; 1079107 (2018)

Contact:

Research Professor Sanna Kaasalainen: sanna.kaasalainen(at)nls.fi

Dr. Priit Jaanson: priit.jaanson(at)vtt.fi

Professor Jussi Leveinen: Jussi.Leveinen(at)aalto.fi

CapturePitch.PNG

Advertisements