气候变化领域集成服务门户(CCPortal): Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites

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DOI	10.1016/j.jag.2018.11.001
	Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites
	Cardoso-Fernandes J.; Teodoro A.C.; Lima A.
发表日期	2019
ISSN	15698432
起始页码	10
结束页码	25
卷号	76
英文摘要	Remote sensing has proved to be a powerful resource in geology capable of delineating target exploration areas for several deposit types. Only recently, these methodologies have been used for the detection of lithium (Li)-bearing pegmatites. This happened because of the growing importance and demand of Li for the construction of Li-ion batteries for electric cars. The objective of this study was to develop innovative and effective remote sensing methodologies capable of identifying Li-pegmatites through alteration mapping and through the direct identification of Li-bearing minerals. For that, cloud free Landsat-5, Landsat-8, Sentinel-2 and ASTER images with low vegetation coverage were used. The image processing methods included: RGB (red, green, blue) combinations, band ratios and selective principal component analysis (PCA). The study area of this work is the Fregeneda (Salamanca, Spain)-Almendra (Vila Nova de Foz Côa, Portugal) region, where different known types of Li-pegmatites have been mapped. This study proposes new RGB combinations, band ratios and subsets for selective PCA capable of differentiating the spectral signatures of the Li-bearing pegmatites from the spectral signatures of the host rocks. The potential and limitations of the methodologies proposed are discussed, but overall there is a great potential for the identification of Li-bearing pegmatites using remote sensing. The results obtained could be improved using sensors with a better spatial and spectral resolution. © 2018 Elsevier B.V.
英文关键词	Alteration halos; ASTER; Band ratio; Landsat-5; Landsat-8; Lithium; PCA; RGB combinations; Sentinel-2
语种	英语
scopus关键词	ASTER; data set; detection method; host rock; Landsat; lithium; pegmatite; principal component analysis; remote sensing; Sentinel; spatial resolution; Castilla y Leon; Salamanca [Castilla y Leon]; Spain
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156512
作者单位	Dep. of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre, Porto, Portugal; ICT (Institute of Earth Sciences) – Porto pole, Portugal
推荐引用方式 GB/T 7714	Cardoso-Fernandes J.,Teodoro A.C.,Lima A.. Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites[J],2019,76.
APA	Cardoso-Fernandes J.,Teodoro A.C.,&Lima A..(2019).Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Cardoso-Fernandes J.,et al."Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites".International Journal of Applied Earth Observation and Geoinformation 76(2019).