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

Data

Jean Cauzid¹  Odile Barrès¹  Encarnación Roda-Robles²  Filipa Dias³  Maria Anjos Ribeiro³  Ana C. Teodoro³  João Silva³  Joana Cardoso-Fernandes³  Alexandre Lima³  Mônica Perrotta⁴ 

[1] CNRS, GeoRessources Laboratory, Université de Lorraine, F-54000 Nancy, France;Departamento de Geología, Universidad del País Vasco (UPV/EHU), Barrio Sarriena, Leioa, 48940 Bilbao, Spain;Department of Geosciences, Environment and Spatial Plannings, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal;Remote Sensing and Mineral Spectroscopy Laboratory, Geological Survey of Brazil (CPRM), Rua Costa 55, São Paulo 01304-010, Brazil;

关键词: reflectance spectroscopy;    spectrometer;    geological exploration;    remote sensing;    pegmatite;    lithium;   

DOI  :  10.3390/data6030033

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown