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Mineral reflectance spectra and chemistry of 32 Li-bearing surface samples from Bajoca mine, Almendra, Portugal

Urheber*innen
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Koerting,  Friederike
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/klos

Kästner,  Friederike
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/nicolek

Koellner,  Nicole
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Hildebrand,  Justus Constantin
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Zitation

Koerting, F., Kästner, F., Koellner, N., Hildebrand, J. C. (2021): Mineral reflectance spectra and chemistry of 32 Li-bearing surface samples from Bajoca mine, Almendra, Portugal.
https://doi.org/10.5880/GFZ.1.4.2021.002


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007634
Zusammenfassung
The data set contains chemical analyses of 32 different surface materials from the Bajoca feldspar mine in Portugal and their corresponding hyperspectral reflectance spectra. The field samples were collected in May 2019 within the LIGHTS (Lightweight Integrated Ground and Airborne Hyperspectral Topological Solutions) project. The goal in this project is to develop tools for hybrid data analysis of remote sensing data from different scales, geochemical and geological data for Li target area exploration (LIGHTS; Cardoso-Fernandes et al. (2020a,b & 2021) & Fabre et al. (in prep.)). The hyperspectral data were acquired in the laboratory with the HySpex system in a range of 414 – 2498nm and on-site with the Spectral Evolution PSR+ 3500 handheld spectroradiometer (short “PSR+”) in a range of 350 – 2500nm. The sample spectra of 32 different surface samples are presented for both sensors systems. The resulting HySpex reflectance data are scaled from 0 – 10000, the PSR+ reflectance data are scaled from 0-1. Detailed information about the samples and geochemistry is presented in the data sheets.