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true 3.1 HZDR.RODARE 10.14278/rodare.2078 Kirsch, Moritz 0000-0003-1512-5511 Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Mavroudi, Mary National Technical University of Athens, School of Mining and Metallurgical Engineering, Greece Thiele, Samuel Thomas 0000-0003-4169-0207 Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Lorenz, Sandra 0000-0001-8464-2331 Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Tusa, Laura TheiaX GmbH, Freiberg, Germany Booysen, René 0000-0002-5549-4090 Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Herrmann, Erik Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Fatihi, Ayoub Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Möckel, Robert 0000-0002-2583-6889 Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Dittrich, Thomas Deutsche Lithium GmbH, Freiberg, Germany Gloaguen, Richard 0000-0002-4383-473X Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany Rodare 2023 hyperspectral underground mining point cloud lithium mineral mapping 2023-01-12 https://rodare.hzdr.de/record/2078 https://www.hzdr.de/publications/Publ-36215 https://www.hzdr.de/publications/Publ-37299 10.14278/rodare.2077 https://rodare.hzdr.de/communities/rodare Creative Commons Attribution 4.0 International Open Access <p>As part of a project on the development of hyperspectral scanning to support geological mapping in underground mines, we acquired hyperspectral data from three adjacent outcrops of Sn-W-Li greisen rocks in the visitor&rsquo;s mine of Zinnwald, Germany. The hyperspectral scans were pre-processed and then back-projected onto photogrammetric, three-dimensional digital outcrop models resulting in so-called &quot;hyperclouds&quot;. The here presented hyperclouds from the three outcrops (Z1, Z2, and Z3) contain the following attributes:</p> <p>ZX_Absorbance.ply<br> RGB colours: Mica/clay-zinnwaldite-topaz abundance based on absorbance (1 &ndash; hull-corrected reflectance) at 2200 nm (red), 2250 nm (green), and 2085 nm (blue)<br> Scalars: Absorbance at 2086.88 nm, 2160.69 nm, 2197.53 nm, 2209.8 nm, 2252.7 nm, and 2338.31 nm</p> <p>ZX_Iron.ply<br> RGB colours: Composite (Fe3+ Fe2+ FeOH) iron index (red: 600/570 nm, green:(920 nm + 1650 nm)/ (1035 nm 1230 nm), blue: (2230 nm 2290 nm)/(2245 nm + 2260 nm)<br> Scalars: Fe3+ = 600/570 nm, Fe2+ = (920 nm + 1650 nm)/ (1035 nm + 1230 nm), FeOH = (2230 nm + 2290 nm)/(2245 nm + 2260 nm)</p> <p>ZX_MNF.ply<br> RGB colours: Minimum noise fraction false colour (red: band 4, green: band 7, blue: band 5)<br> Scalars: Minimum noise fraction bands 4, 7, 5)</p> <p>ZX_RGB_mineralogy_Li.ply<br> RGB colours: True colour RGB from photogrammetric outcrop model<br> Scalars: Mineral abundances derived by combining sample mineralogy from quantitative XRD measurements and hyperspectral unmixing approaches: Quartz/Feldspar, Zinnwaldite, Muscovite/Illite, Kaolinite, Topaz, Lithium (by multiplying the zinnwaldite abundance by its average lithium content of 1.7%)</p>