Identifying Rare Earth Elements Using a Tripod and Drone-Mounted Hyperspectral Camera: A Case Study of the Mountain Pass Birthday Stock and Sulphide Queen Mine Pit, California

Author:

Qasim Muhammad1,Khan Shuhab D.1ORCID,Sisson Virginia1,Greer Presley1,Xia Lin2ORCID,Okyay Unal3ORCID,Franco Nicole2

Affiliation:

1. Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA

2. MP Materials, Las Vegas, NV 89135, USA

3. Cobb, Fendley & Associates, Inc., Houston, TX 77040, USA

Abstract

As the 21st century advances, the demand for rare earth elements (REEs) is rising, necessitating more robust exploration methods. Our research group is using hyperspectral remote sensing as a tool for mapping REEs. Unique spectral features of bastnaesite mineral, has proven effective for detection of REE with both spaceborne and airborne data. In our study, we collected hyperspectral data using a Senop hyperspectral camera in field and a SPECIM hyperspectral camera in the laboratory settings. Data gathered from California’s Mountain Pass district revealed bastnaesite-rich zones and provided detailed insights into bastnaesite distribution within rocks. Further analysis identified specific bastnaesite-rich rock grains. Our results indicated higher concentrations of bastnaesite in carbonatite rocks compared to alkaline igneous rocks. Additionally, rocks from the Sulphide Queen mine showed richer bastnaesite concentrations than those from the Birthday shonkinite stock. Results were validated with thin-section studies and geochemical data, confirming the reliability across different hyperspectral data modalities. This study demonstrates the potential of drone-based hyperspectral technology in augmenting conventional mineral mapping methods and aiding the mining industry in making informed decisions about mining REEs efficiently and effectively.

Funder

ACS PRF

Publisher

MDPI AG

Reference73 articles.

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