Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland

Sandra Lorenz, Sam T. Thiele, Moritz Kirsch, Gabriel Unger, Robert Zimmermann, Pierpaolo Guarnieri, Nigel Baker, Erik Vest Sørensen, Diogo Rosa and Richard Gloaguen
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Sandra Lorenz: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany
Sam T. Thiele: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany
Moritz Kirsch: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany
Gabriel Unger: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany
Robert Zimmermann: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany
Pierpaolo Guarnieri: Department of Mapping and Mineral Resources, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, 1350 Copenhagen, Denmark
Nigel Baker: Department of Mapping and Mineral Resources, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, 1350 Copenhagen, Denmark
Erik Vest Sørensen: Department of Mapping and Mineral Resources, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, 1350 Copenhagen, Denmark
Diogo Rosa: Department of Mapping and Mineral Resources, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, 1350 Copenhagen, Denmark
Richard Gloaguen: Division Exploration Technology, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz-Institute Freiberg for Resource Technology (HZDR-HIF), Chemnitzer Straße 40, 09599 Freiberg, Germany

Data, 2022, vol. 7, issue 8, 1-15

Abstract: Hyperspectral imaging is an innovative technology for non-invasive mapping, with increasing applications in many sectors. As with any novel technology, robust processing workflows are required to ensure a wide use. We present an open-source hypercloud dataset capturing the complex but spectacularly well exposed geology from the Black Angel Mountain in Maarmorilik, West Greenland, alongside a detailed and interactive tutorial documenting relevant processing workflows. This contribution relies on very recent progress made on the correction, interpretation and integration of hyperspectral data in earth sciences. The possibility to fuse hyperspectral scans with 3D point cloud representations (hyperclouds) has opened up new possibilities for the mapping of complex natural targets. Spectroscopic and machine learning tools allow or the rapid and accurate characterization of geological structures in a 3D environment. Potential users can use this exemplary dataset and the associated tools to train themselves or test new algorithms. As the data and the tools have a wide range of application, we expect this contribution to benefit the scientific community at large.

Keywords: open-source dataset; hyperspectral data; spectral imaging; 3D hyperclouds; photogrammetry; mineral mapping; Black Angel Maarmorilik; minimum wavelength mapping; interactive workflow (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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