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Detection of REEs with lightweight UAV-based hyperspectral imaging

Rare earth elements (REEs) supply is important to ensure the energy transition, e-mobility and ultimately to achieve the sustainable development goals of the United Nations. Conventional exploration techniques usually rely on substantial geological field work including dense in-situ sampling with lo...

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Autores principales: Booysen, René, Jackisch, Robert, Lorenz, Sandra, Zimmermann, Robert, Kirsch, Moritz, Nex, Paul A. M., Gloaguen, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562707/
https://www.ncbi.nlm.nih.gov/pubmed/33060759
http://dx.doi.org/10.1038/s41598-020-74422-0
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author Booysen, René
Jackisch, Robert
Lorenz, Sandra
Zimmermann, Robert
Kirsch, Moritz
Nex, Paul A. M.
Gloaguen, Richard
author_facet Booysen, René
Jackisch, Robert
Lorenz, Sandra
Zimmermann, Robert
Kirsch, Moritz
Nex, Paul A. M.
Gloaguen, Richard
author_sort Booysen, René
collection PubMed
description Rare earth elements (REEs) supply is important to ensure the energy transition, e-mobility and ultimately to achieve the sustainable development goals of the United Nations. Conventional exploration techniques usually rely on substantial geological field work including dense in-situ sampling with long delays until provision of analytical results. However, this approach is limited by land accessibility, financial status, climate and public opposition. Efficient and innovative methods are required to mitigate these limitations. The use of lightweight unmanned aerial vehicles (UAVs) provides a unique opportunity to conduct rapid and non-invasive exploration even in socially sensitive areas and in relatively inaccessible locations. We employ drones with hyperspectral sensors to detect REEs at the earth’s surface and thus contribute to a rapidly evolving field at the cutting edge of exploration technologies. We showcase for the first time the direct mapping of REEs with lightweight hyperspectral UAV platforms. Our solution has the advantage of quick turn-around times (< 1 d), low detection limits (< 200 ppm for Nd) and is ideally suited to support exploration campaigns. This procedure was successfully tested and validated in two areas: Marinkas Quellen, Namibia, and Siilinjärvi, Finland. This strategy should invigorate the use of drones in exploration and for the monitoring of mining activities.
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spelling pubmed-75627072020-10-19 Detection of REEs with lightweight UAV-based hyperspectral imaging Booysen, René Jackisch, Robert Lorenz, Sandra Zimmermann, Robert Kirsch, Moritz Nex, Paul A. M. Gloaguen, Richard Sci Rep Article Rare earth elements (REEs) supply is important to ensure the energy transition, e-mobility and ultimately to achieve the sustainable development goals of the United Nations. Conventional exploration techniques usually rely on substantial geological field work including dense in-situ sampling with long delays until provision of analytical results. However, this approach is limited by land accessibility, financial status, climate and public opposition. Efficient and innovative methods are required to mitigate these limitations. The use of lightweight unmanned aerial vehicles (UAVs) provides a unique opportunity to conduct rapid and non-invasive exploration even in socially sensitive areas and in relatively inaccessible locations. We employ drones with hyperspectral sensors to detect REEs at the earth’s surface and thus contribute to a rapidly evolving field at the cutting edge of exploration technologies. We showcase for the first time the direct mapping of REEs with lightweight hyperspectral UAV platforms. Our solution has the advantage of quick turn-around times (< 1 d), low detection limits (< 200 ppm for Nd) and is ideally suited to support exploration campaigns. This procedure was successfully tested and validated in two areas: Marinkas Quellen, Namibia, and Siilinjärvi, Finland. This strategy should invigorate the use of drones in exploration and for the monitoring of mining activities. Nature Publishing Group UK 2020-10-15 /pmc/articles/PMC7562707/ /pubmed/33060759 http://dx.doi.org/10.1038/s41598-020-74422-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Booysen, René
Jackisch, Robert
Lorenz, Sandra
Zimmermann, Robert
Kirsch, Moritz
Nex, Paul A. M.
Gloaguen, Richard
Detection of REEs with lightweight UAV-based hyperspectral imaging
title Detection of REEs with lightweight UAV-based hyperspectral imaging
title_full Detection of REEs with lightweight UAV-based hyperspectral imaging
title_fullStr Detection of REEs with lightweight UAV-based hyperspectral imaging
title_full_unstemmed Detection of REEs with lightweight UAV-based hyperspectral imaging
title_short Detection of REEs with lightweight UAV-based hyperspectral imaging
title_sort detection of rees with lightweight uav-based hyperspectral imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7562707/
https://www.ncbi.nlm.nih.gov/pubmed/33060759
http://dx.doi.org/10.1038/s41598-020-74422-0
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