Drone-based near-infrared multispectral and hyperspectral imaging in monitoring structural changes in mine tailing ponds

Sami Siikanen, Marko Savolainen, Arto Karinen, Julia Puputti, Timo Kauppinen, Sanna Uusitalo, Marko Paavola

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Monitoring and verification of structural changes in mining areas is necessary for mining operators-especially in terms of what events are taking place in the mining area and tailing ponds. Emptying or enriching a pond requires up-to-date information on the shape of the pond and amount of contained material. Increasing accurate measurements interests mining operators. Novel monitoring technologies include possibility of imaging spectroscopic optical measurements-such as hyperspectral imaging-with drone-based scanning feature. At Pyhäsalmi Mine in Finland, we established field trials with drone-based near-infrared multispectral imaging of mine tailing ponds and their dam structures. These field trials were part of the European Union's Horizon 2020 project called †Goldeneye', which aims to develop a data-acquisition and processing platform combining remote sensing and positioning technologies to produce actionable intelligence for mine operators.

Original languageEnglish
Title of host publicationThermosense
Subtitle of host publicationThermal Infrared Applications XLIV
EditorsArantza Mendioroz, Nicolas P. Avdelidis
PublisherInternational Society for Optics and Photonics SPIE
ISBN (Electronic)978-1-5106-5094-7
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventThermosense: Thermal Infrared Applications XLIV 2022 - Virtual, Online
Duration: 6 Jun 202212 Jun 2022

Publication series

SeriesProceedings of SPIE - The International Society for Optical Engineering
Volume12109
ISSN0277-786X

Conference

ConferenceThermosense: Thermal Infrared Applications XLIV 2022
CityVirtual, Online
Period6/06/2212/06/22

Funding

The Goldeneye project has received funding from the European Union’s Horizon 2020 innovation programme under grant agreement number: 869398. This work is also part of the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision 320168.

Keywords

  • Drones
  • hyperspectral imaging
  • multispectral imaging
  • tailing ponds

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