Paper
3 October 2019 Remote sensing techniques to detect areas with potential for lithium exploration in Minas Gerais, Brazil
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Abstract
Lithium (Li) is defined as an alkaline metal which does not exist in nature in its free form. Moreover, it has properties that make it possible to be applied in several manners, such as industrial use, especially in the ceramic and glass industries, as well as the battery industry which has had an increase in this element consumption. It is crucial to use less expensive and faster techniques, compared to classical and intrusive methods, to identify new Li deposits. Remote sensing as proved to be a powerful tool to identify areas with potential for Li exploration. The objective of this work is to apply several images processing techniques, such as RGB band combinations, Band Ratios and Principal Components Analysis (PCA) to identify potential areas for Li prospection in the pegmatite district of São João Del Rei, located in the south of the state of Minas Gerais, Brazil. In these areas, two study zones were defined: the zone A, with approximately 323 km2 in the pegmatite district of São João Del Rei and the zone B with approximately 90 km2 in the pegmatite district of Araçuaí. The results of the techniques applied in this study are very promising since, in addition to ease and low cost, these techniques can be applied to several locations. This approach is highly valuable for the Li mining industry.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Santos, A. Teodoro, A. Lima, and J. Cardoso-Fernandes "Remote sensing techniques to detect areas with potential for lithium exploration in Minas Gerais, Brazil", Proc. SPIE 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X, 111561F (3 October 2019); https://doi.org/10.1117/12.2532744
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Cited by 2 scholarly publications.
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KEYWORDS
Lithium

Remote sensing

Principal component analysis

Earth observing sensors

Landsat

Mining

Minerals

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