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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7562707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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