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Tools for Remote Exploration: A Lithium (Li) Dedicated Spectral Library of the Fregeneda–Almendra Aplite–Pegmatite Field

机译:遥远探索的工具:FreeCena-Almendra Aplite-Pegmatite场的锂(Li)专用光谱库

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The existence of diagnostic features in the visible and infrared regions makes it possible to use reflectance spectra not only to identify mineral assemblages but also for calibration and classification of satellite images, considering lithological and/or mineral mapping. For this purpose, a consistent spectral library with the target spectra of minerals and rocks is needed. Currently, there is big market pressure for raw materials including lithium (Li) that has driven new satellite image applications for Li exploration. However, there are no reference spectra for petalite (a Li mineral) in large, open spectral datasets. In this work, a spectral library was built exclusively dedicated to Li minerals and Li pegmatite exploration through satellite remote sensing. The database includes field and laboratory spectra collected in the Fregeneda–Almendra region (Spain–Portugal) from (i) distinct Li minerals (spodumene, petalite, lepidolite); (ii) several Li pegmatites and other outcropping lithologies to allow satellite-based lithological mapping; (iii) areas previously misclassified as Li pegmatites using machine learning algorithms to allow comparisons between these regions and the target areas. Ancillary data include (i) sample location and coordinates, (ii) sample conditions, (iii) sample color, (iv) type of face measured, (v) equipment used, and for the laboratory spectra, (vi) sample photographs, (vii) continuum removed spectra files, and (viii) statistics on the main absorption features automatically extracted. The potential future uses of this spectral library are reinforced by its major advantages: (i) data is provided in a universal file format; (ii) it allows users to compare field and laboratory spectra; (iii) a large number of complementary data allow the comparison of shape, asymmetry, and depth of the absorption features of the distinct Li minerals.
机译:可见光和红外区域中的诊断特征的存在使得不仅可以使用反射光谱来识别矿物组件,而且可以考虑卫星图像的校准和分类,考虑岩性和/或矿物映射。为此目的,需要具有矿物质和岩石的目标光谱的一致光谱库。目前,原材料的市场压力很大,包括锂(LI),它为LI勘探驱动了新的卫星图像应用。然而,在大型开放的光谱数据集中没有岩石(LI矿物质)的参考光谱。在这项工作中,通过卫星遥感,专门专用于李矿物和李波麦特勘探,建立了一个光谱库。该数据库包括来自(i)不同的Li矿物(Spodumene,Petalite,Lepidolite)的FreeCenea-Almendra地区(西班牙 - 葡萄牙)收集的现场和实验室谱; (ii)几种李佩麦蒂特和其他露天性岩性,以允许卫星型岩性测绘; (iii)使用机器学习算法以李Pegmatites被错误分类的区域以允许这些地区和目标区域之间的比较。辅助数据包括(i)样本位置和坐标,(ii)样品条件,(iii)样品颜色,(iv)脸部的脸部,(v)使用的设备,以及实验室光谱,(vi)样本照片,( vii)连续体被删除的谱文件,(viii)统计数据自动提取的主要吸收功能。该光谱库的潜在未来使用通过其主要优点来加强:(i)数据以通用文件格式提供; (ii)它允许用户比较现场和实验室谱; (iii)大量互补数据允许比较不同的Li矿物质的吸收特征的形状,不对称性和深度。

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