Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia
Hyperspectral imaging is a powerful tool for mineral mapping and increasingly used in poorly-accessible areas. It only requires a limited amount of validation sample points, but can fail to discriminate spectrally-similar features. In this manuscript, we show that we improve the identification of in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-04-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/8/5/358 |
| _version_ | 1818997642312548352 |
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| author | Sandra Jakob Richard Gloaguen Carsten Laukamp |
| author_facet | Sandra Jakob Richard Gloaguen Carsten Laukamp |
| author_sort | Sandra Jakob |
| collection | DOAJ |
| description | Hyperspectral imaging is a powerful tool for mineral mapping and increasingly used in poorly-accessible areas. It only requires a limited amount of validation sample points, but can fail to discriminate spectrally-similar features. In this manuscript, we show that we improve the identification of interesting targets by including geomorphological data in the spectral mapping scheme. We jointly use geomorphic and spectral features to locate gossanous ironstone ridges as an indicator for possible Pb-Zn-Ag-mineralization and provide an application around Mount Isa and George Fisher/Hilton mine, Queensland, Australia. We combine hyperspectral HyMap data using mixture tuned matched filtering with topographical indices, such as maximum curvature and the topographical position index. As it is often the case with structurally-controlled mineralization, the amount of training sites is limited, and supervised classification methods cannot be implemented. Therefore, we implement expert knowledge in a decision tree to take advantage of the relationship between mineralization, alteration and structure. Optimized rock sampling and spectral measurements provided data for validation. We are able to map sets of gossanous ridges with a minimum of validation points, not only within the Mount Isa mining area itself, but also outside the commonly-accepted host rocks. The ridges are parallel to north-south trending geomorphological features and probably associated with the Paroo fault zone. Similarities between the ridges were confirmed by field observations, spectral measurements and a qualitative rock sample analysis. We identified new mineralized ridges that we could subsequently attribute to a poorly-known and sub-economic deposit known as the Mount Novit Pb-Zn-deposit. |
| first_indexed | 2024-12-20T21:48:53Z |
| format | Article |
| id | doaj.art-54541b4b2c4e4d38b76bbbd80268107f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T21:48:53Z |
| publishDate | 2016-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-54541b4b2c4e4d38b76bbbd80268107f2022-12-21T19:25:36ZengMDPI AGRemote Sensing2072-42922016-04-018535810.3390/rs8050358rs8050358Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, AustraliaSandra Jakob0Richard Gloaguen1Carsten Laukamp2Helmholtz Zentrum Dresden Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Division “Exploration Technology”, Chemnitzer Str. 40, 09599 Freiberg, GermanyHelmholtz Zentrum Dresden Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Division “Exploration Technology”, Chemnitzer Str. 40, 09599 Freiberg, GermanyCSIRO Mineral Resources, 26 Dick Perry Avenue, Kensington, WA 6151, AustraliaHyperspectral imaging is a powerful tool for mineral mapping and increasingly used in poorly-accessible areas. It only requires a limited amount of validation sample points, but can fail to discriminate spectrally-similar features. In this manuscript, we show that we improve the identification of interesting targets by including geomorphological data in the spectral mapping scheme. We jointly use geomorphic and spectral features to locate gossanous ironstone ridges as an indicator for possible Pb-Zn-Ag-mineralization and provide an application around Mount Isa and George Fisher/Hilton mine, Queensland, Australia. We combine hyperspectral HyMap data using mixture tuned matched filtering with topographical indices, such as maximum curvature and the topographical position index. As it is often the case with structurally-controlled mineralization, the amount of training sites is limited, and supervised classification methods cannot be implemented. Therefore, we implement expert knowledge in a decision tree to take advantage of the relationship between mineralization, alteration and structure. Optimized rock sampling and spectral measurements provided data for validation. We are able to map sets of gossanous ridges with a minimum of validation points, not only within the Mount Isa mining area itself, but also outside the commonly-accepted host rocks. The ridges are parallel to north-south trending geomorphological features and probably associated with the Paroo fault zone. Similarities between the ridges were confirmed by field observations, spectral measurements and a qualitative rock sample analysis. We identified new mineralized ridges that we could subsequently attribute to a poorly-known and sub-economic deposit known as the Mount Novit Pb-Zn-deposit.http://www.mdpi.com/2072-4292/8/5/358HyMaphyperspectralmineral mappinggeomorphological featuresalteration mapping |
| spellingShingle | Sandra Jakob Richard Gloaguen Carsten Laukamp Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia Remote Sensing HyMap hyperspectral mineral mapping geomorphological features alteration mapping |
| title | Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia |
| title_full | Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia |
| title_fullStr | Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia |
| title_full_unstemmed | Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia |
| title_short | Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia |
| title_sort | remote sensing based exploration of structurally related mineralizations around mount isa queensland australia |
| topic | HyMap hyperspectral mineral mapping geomorphological features alteration mapping |
| url | http://www.mdpi.com/2072-4292/8/5/358 |
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