Establishing a Mineral Spectral Library for Hyperspectral Imaging of Ore in Underground Mines—A Case Study of Reiche Zeche, Germany

Avgousta Salomidi (), Jörg Benndorf and George Barakos
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Avgousta Salomidi: Faculty of Geosciences, Geoengineering and Mining, Institute of Mine Surveying and Geodesy, TU Bergakademie Freiberg, 09599 Freiberg, Germany
Jörg Benndorf: Faculty of Geosciences, Geoengineering and Mining, Institute of Mine Surveying and Geodesy, TU Bergakademie Freiberg, 09599 Freiberg, Germany
George Barakos: Faculty of Science and Engineering, WA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kalgoorlie, WA 6430, Australia

Sustainability, 2024, vol. 16, issue 23, 1-18

Abstract: Hyperspectral imaging has emerged as a powerful tool in mineral exploration and surface mining over the past three decades, with applications ranging from large-scale airborne surveys to close-range ground-based studies. However, related research in underground environments remains limited due to various environmental and technical challenges. This study focuses on establishing a hyperspectral library for the Reiche Zeche underground mine in Freiberg, Germany, thereby enhancing the application of hyperspectral techniques in underground settings. Following standard hyperspectral analysis procedures, samples were collected, hyperspectral data were acquired, and pre-processing and processing of these data were conducted. The analysis reveals distinct spectral profiles that effectively differentiated various geological zones within the mine. The goal was to create a hyperspectral library specific to this mine, setting a precedent for future underground studies and highlighting the potential of hyperspectral imaging techniques in mining operations. The success achieved at Reiche Zeche aims to encourage similar initiatives in other mines, promoting the broader adoption of these advanced techniques in underground environments.

Keywords: hyperspectral imaging; underground mining; hyperspectral library; ENVI software; spectral profile (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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