Lin Xia
Lin Xia has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Muhammad Qasim
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA
1 shared publication - Nicole Franco
MP Materials, Las Vegas, NV 89135, USA
1 shared publication - Presley Greer
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA
1 shared publication - Shuhab Danishwar Khan
Department of Earth and Atmospheric Sciences, University of Houston, Houston, USA
1 shared publication - Unal Okyay
Cobb, Fendley & Associates, Inc., Houston, TX 77040, USA
1 shared publication - Virginia Sisson
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA
1 shared publication
Latest Publications
- Open Access
- 9 September 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16 (17) , 3353
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
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.
- 9 September 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16 (17) , 3353
Open AccessIdentifying 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
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.