Dataset Open Access

Data publication: Underground hyperspectral outcrop scanning for automated mine-face mapping — the Lithium deposit of Zinnwald/Cínovec

Kirsch, Moritz; Mavroudi, Mary; Thiele, Samuel Thomas; Lorenz, Sandra; Tusa, Laura; Booysen, René; Herrmann, Erik; Fatihi, Ayoub; Möckel, Robert; Dittrich, Thomas; Gloaguen, Richard

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    <dct:title>Data publication: Underground hyperspectral outcrop scanning for automated mine-face mapping — the Lithium deposit of Zinnwald/Cínovec</dct:title>
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    <dcat:keyword>hyperspectral</dcat:keyword>
    <dcat:keyword>underground mining</dcat:keyword>
    <dcat:keyword>point cloud</dcat:keyword>
    <dcat:keyword>lithium</dcat:keyword>
    <dcat:keyword>mineral mapping</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2023-01-12</dct:issued>
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    <dct:description>&lt;p&gt;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&amp;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 &amp;quot;hyperclouds&amp;quot;. The here presented hyperclouds from the three outcrops (Z1, Z2, and Z3) contain the following attributes:&lt;/p&gt; &lt;p&gt;ZX_Absorbance.ply&lt;br&gt; RGB colours: Mica/clay-zinnwaldite-topaz abundance based on absorbance (1 &amp;ndash; hull-corrected reflectance) at 2200 nm (red), 2250 nm (green), and 2085 nm (blue)&lt;br&gt; Scalars: Absorbance at 2086.88 nm, 2160.69 nm, 2197.53 nm, 2209.8 nm, 2252.7 nm, and 2338.31 nm&lt;/p&gt; &lt;p&gt;ZX_Iron.ply&lt;br&gt; 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)&lt;br&gt; Scalars: Fe3+ = 600/570 nm, Fe2+ = (920 nm + 1650 nm)/ (1035 nm + 1230 nm), FeOH = (2230 nm + 2290 nm)/(2245 nm + 2260 nm)&lt;/p&gt; &lt;p&gt;ZX_MNF.ply&lt;br&gt; RGB colours: Minimum noise fraction false colour (red: band 4, green: band 7, blue: band 5)&lt;br&gt; Scalars: Minimum noise fraction bands 4, 7, 5)&lt;/p&gt; &lt;p&gt;ZX_RGB_mineralogy_Li.ply&lt;br&gt; RGB colours: True colour RGB from photogrammetric outcrop model&lt;br&gt; 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%)&lt;/p&gt;</dct:description>
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Publication date:
January 12, 2023
DOI:
10.14278/rodare.2078

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Keyword(s):
hyperspectral underground mining point cloud lithium mineral mapping
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Referenced by:
https://www.hzdr.de/publications/Publ-37299
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