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  Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California

Asadzadeh, S., Koellner, N., Chabrillat, S. (2024): Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California. - Scientific Reports, 14, 20766.
https://doi.org/10.1038/s41598-024-71395-2

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This 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/.

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 Creators:
Asadzadeh, Saeid1, 2, Author              
Koellner, Nicole1, Author              
Chabrillat, S.1, Author              
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              
2Submitting Corresponding Author, Deutsches GeoForschungsZentrum, ou_5026390              

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Free keywords: Neodymium, Bastnaesite, Carbonatite, Absorption feature analysis, Remote sensing, REE exploration
 Abstract: Rare earth elements (REEs) exhibit diagnostic absorption features in the visible-near infrared region, enabling their detection and identification via spectroscopic methods. Satellite-based remote sensing mapping of REEs, however, has not been attainable so far due to the necessity for high-quality hyperspectral data to resolve their narrow absorption features. This research leverages EnMAP hyperspectral satellite data to map REEs in Mountain Pass, California—a mining area known to host bastnaesite-Ce ore in sövite and beforsite carbonatites. By employing a polynomial fitting technique to characterize the diagnostic absorption features of Neodymium (Nd) at ∼740 and ∼800 nm, the surface occurrence of Nd was successfully mapped at a 30m pixel resolution. The relative abundance of Nd was represented using the continuum-removed area of the 800 nm feature. The resulting map, highlighting hundreds of anomalous pixels, was validated through laboratory spectroscopy, surface geology, and high-resolution satellite imagery. This study marks a major advancement in REE exploration, demonstrating for the first time, the possibility of directly detecting Nd in geologic environments using the EnMAP hyperspectral satellite data. This capability can offer a fast and cost-effective method for screening Earth’s surfaces for REE signature, complementing the existing exploration portfolio and facilitating the discovery of new resources.

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Finally published
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 Identifiers: DOI: 10.1038/s41598-024-71395-2
OATYPE: Gold - DEAL Springer Nature
GFZPOF: p4 T5 Future Landscapes
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Title: Scientific Reports
Source Genre: Journal, SCI, Scopus, OA
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Pages: - Volume / Issue: 14 Sequence Number: 20766 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals2_395
Publisher: Springer Nature