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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Saeid Asadzadeh
  • Nicole Koellner
  • Sabine Chabrillat

Research Organisations

External Research Organisations

  • Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
  • Section of Remote Sensing and Geoinformatics
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  • Citations
    • Citation Indexes: 2
  • Captures
    • Readers: 14
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Details

Original languageEnglish
Article number20766
JournalScientific reports
Volume14
Issue number1
Early online date5 Sept 2024
Publication statusPublished - 2024

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.

Keywords

    Absorption feature analysis, Bastnaesite, Carbonatite, Neodymium, REE exploration, Remote sensing

ASJC Scopus subject areas

Cite this

Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California. / Asadzadeh, Saeid; Koellner, Nicole; Chabrillat, Sabine.
In: Scientific reports, Vol. 14, No. 1, 20766, 2024.

Research output: Contribution to journalArticleResearchpeer review

Asadzadeh S, Koellner N, Chabrillat S. Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California. Scientific reports. 2024;14(1):20766. Epub 2024 Sept 5. doi: 10.1038/s41598-024-71395-2
Asadzadeh, Saeid ; Koellner, Nicole ; Chabrillat, Sabine. / Detecting rare earth elements using EnMAP hyperspectral satellite data : a case study from Mountain Pass, California. In: Scientific reports. 2024 ; Vol. 14, No. 1.
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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 s{\"o}vite 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{\textquoteright}s surfaces for REE signature, complementing the existing exploration portfolio and facilitating the discovery of new resources.",
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