Evaluation of WorldView-3 VNIR and SWIR Data for Hydrothermal Alteration Mapping for Mineral Exploration: Case Study from Northeastern Isfahan, Iran
This research evaluated the capability of WorldView-3 (WV-3) data in discriminating targets related to porphyry copper mineralization at the Tameh district in the Saveh–Yazd belt, northeastern Isfahan, Iran. The few known porphyry copper deposits in this district were formed in association with Olig...
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description | This research evaluated the capability of WorldView-3 (WV-3) data in discriminating targets related to porphyry copper mineralization at the Tameh district in the Saveh–Yazd belt, northeastern Isfahan, Iran. The few known porphyry copper deposits in this district were formed in association with Oligo-Miocene intrusive bodies. Hydrothermal alteration zones are characterized by iron oxide/hydroxide, sericite, illite, kaolinite, montmorillonite, chlorite, and epidote minerals. The band rationing method and the mixture-tuned matched filtering (MTMF) algorithm were utilized to map and identify targets. The results of band rationing showed that WV-3 VNIR–SWIR data can map and differentiate corchlorite and epidote as well as kaolinite and montmorillonite because of its superior spatial and spectral resolutions in SWIR region, as compared to ASTER data. Considering the similarity of five SWIR bands of WV-3 to the ASTER bands, both datasets help to enhance sericite–illite in similar patterns; however, areas mapped using WV-3 matched well with field evidence. Implementing the MTMF algorithm on the WV-3 VNIR and SWIR data successfully mapped areas with the highest abundances of desired minerals. Microscopic studies of thin sections, spectral investigations, and X-ray diffraction analysis confirmed the occurrence of alteration minerals, which also corresponded well to surface exposures of alterations in the field. Results showed that WV-3 data, with higher spectral and spatial resolutions, provide capability to map and identify hydrothermal alteration minerals and to produce more detailed mineralogical maps, which are valuable in semi-detailed district-scale exploration stages; in contrast, ASTER data yielded information on hydrothermally alteration zones mainly in regional scale. |
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Tangestani, Majid</creator><creatorcontrib>Salehi, Touba ; H. Tangestani, Majid</creatorcontrib><description>This research evaluated the capability of WorldView-3 (WV-3) data in discriminating targets related to porphyry copper mineralization at the Tameh district in the Saveh–Yazd belt, northeastern Isfahan, Iran. The few known porphyry copper deposits in this district were formed in association with Oligo-Miocene intrusive bodies. Hydrothermal alteration zones are characterized by iron oxide/hydroxide, sericite, illite, kaolinite, montmorillonite, chlorite, and epidote minerals. The band rationing method and the mixture-tuned matched filtering (MTMF) algorithm were utilized to map and identify targets. The results of band rationing showed that WV-3 VNIR–SWIR data can map and differentiate corchlorite and epidote as well as kaolinite and montmorillonite because of its superior spatial and spectral resolutions in SWIR region, as compared to ASTER data. Considering the similarity of five SWIR bands of WV-3 to the ASTER bands, both datasets help to enhance sericite–illite in similar patterns; however, areas mapped using WV-3 matched well with field evidence. Implementing the MTMF algorithm on the WV-3 VNIR and SWIR data successfully mapped areas with the highest abundances of desired minerals. Microscopic studies of thin sections, spectral investigations, and X-ray diffraction analysis confirmed the occurrence of alteration minerals, which also corresponded well to surface exposures of alterations in the field. Results showed that WV-3 data, with higher spectral and spatial resolutions, provide capability to map and identify hydrothermal alteration minerals and to produce more detailed mineralogical maps, which are valuable in semi-detailed district-scale exploration stages; in contrast, ASTER data yielded information on hydrothermally alteration zones mainly in regional scale.</description><identifier>ISSN: 1520-7439</identifier><identifier>EISSN: 1573-8981</identifier><identifier>DOI: 10.1007/s11053-020-09703-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Chemistry and Earth Sciences ; Computer Science ; Copper ; Earth and Environmental Science ; Earth Sciences ; Fossil Fuels (incl. Carbon Capture) ; Geography ; Illite ; Iron oxides ; Kaolinite ; Mathematical Modeling and Industrial Mathematics ; Mineral exploration ; Mineral Resources ; Mineralization ; Minerals ; Miocene ; Montmorillonite ; Original Paper ; Physics ; Porphyry copper ; Statistics for Engineering ; Sustainable Development ; Target recognition ; X-ray diffraction</subject><ispartof>Natural resources research (New York, N.Y.), 2020-12, Vol.29 (6), p.3479-3503</ispartof><rights>International Association for Mathematical Geosciences 2020</rights><rights>International Association for Mathematical Geosciences 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-651ce514617c74916c3c771c0af5c62bd92e6a4408b963566a8dab44ad1bce2e3</citedby><cites>FETCH-LOGICAL-c319t-651ce514617c74916c3c771c0af5c62bd92e6a4408b963566a8dab44ad1bce2e3</cites><orcidid>0000-0003-2503-9940</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11053-020-09703-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918321855?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21368,27903,27904,33723,41467,42536,43784,51297</link.rule.ids></links><search><creatorcontrib>Salehi, Touba</creatorcontrib><creatorcontrib>H. Tangestani, Majid</creatorcontrib><title>Evaluation of WorldView-3 VNIR and SWIR Data for Hydrothermal Alteration Mapping for Mineral Exploration: Case Study from Northeastern Isfahan, Iran</title><title>Natural resources research (New York, N.Y.)</title><addtitle>Nat Resour Res</addtitle><description>This research evaluated the capability of WorldView-3 (WV-3) data in discriminating targets related to porphyry copper mineralization at the Tameh district in the Saveh–Yazd belt, northeastern Isfahan, Iran. The few known porphyry copper deposits in this district were formed in association with Oligo-Miocene intrusive bodies. Hydrothermal alteration zones are characterized by iron oxide/hydroxide, sericite, illite, kaolinite, montmorillonite, chlorite, and epidote minerals. The band rationing method and the mixture-tuned matched filtering (MTMF) algorithm were utilized to map and identify targets. The results of band rationing showed that WV-3 VNIR–SWIR data can map and differentiate corchlorite and epidote as well as kaolinite and montmorillonite because of its superior spatial and spectral resolutions in SWIR region, as compared to ASTER data. Considering the similarity of five SWIR bands of WV-3 to the ASTER bands, both datasets help to enhance sericite–illite in similar patterns; however, areas mapped using WV-3 matched well with field evidence. Implementing the MTMF algorithm on the WV-3 VNIR and SWIR data successfully mapped areas with the highest abundances of desired minerals. Microscopic studies of thin sections, spectral investigations, and X-ray diffraction analysis confirmed the occurrence of alteration minerals, which also corresponded well to surface exposures of alterations in the field. Results showed that WV-3 data, with higher spectral and spatial resolutions, provide capability to map and identify hydrothermal alteration minerals and to produce more detailed mineralogical maps, which are valuable in semi-detailed district-scale exploration stages; in contrast, ASTER data yielded information on hydrothermally alteration zones mainly in regional scale.</description><subject>Algorithms</subject><subject>Chemistry and Earth Sciences</subject><subject>Computer Science</subject><subject>Copper</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fossil Fuels (incl. Carbon Capture)</subject><subject>Geography</subject><subject>Illite</subject><subject>Iron oxides</subject><subject>Kaolinite</subject><subject>Mathematical Modeling and Industrial Mathematics</subject><subject>Mineral exploration</subject><subject>Mineral Resources</subject><subject>Mineralization</subject><subject>Minerals</subject><subject>Miocene</subject><subject>Montmorillonite</subject><subject>Original Paper</subject><subject>Physics</subject><subject>Porphyry copper</subject><subject>Statistics for Engineering</subject><subject>Sustainable Development</subject><subject>Target recognition</subject><subject>X-ray diffraction</subject><issn>1520-7439</issn><issn>1573-8981</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kFFPwjAUhRejiYj-AZ-a-Oq0Xddu880gCglgIgqPzaXrYGS0sx0q_8MfbGEmvvl0b-4537nJCYJLgm8IxsmtIwQzGuIIhzhLMA35UdAhLKFhmqXkeL97KYlpdhqcObfGHqIp6wTf_Q-ottCURiNToLmxVT4r1WdI0WwyfEGgczSd--UBGkCFsWiwy61pVspuoEL3VaNsS4-hrku9PHjGpfbnCvW_6sq0-h3qgVNo2mzzHSqs2aCJsT4GnE_QaOgKWIG-RkML-jw4KaBy6uJ3doO3x_5rbxCOnp-GvftRKCnJmpAzIhUjMSeJTOKMcEllkhCJoWCSR4s8ixSHOMbpIuOUcQ5pDos4hpwspIoU7QZXbW5tzftWuUaszdZq_1JEGUlpRFLGvCtqXdIa56wqRG3LDdidIFjs2xdt-8K3Lw7tC-4h2kLOm_VS2b_of6gfxK2IUQ</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Salehi, Touba</creator><creator>H. 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Tangestani, Majid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-651ce514617c74916c3c771c0af5c62bd92e6a4408b963566a8dab44ad1bce2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Chemistry and Earth Sciences</topic><topic>Computer Science</topic><topic>Copper</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fossil Fuels (incl. Carbon Capture)</topic><topic>Geography</topic><topic>Illite</topic><topic>Iron oxides</topic><topic>Kaolinite</topic><topic>Mathematical Modeling and Industrial Mathematics</topic><topic>Mineral exploration</topic><topic>Mineral Resources</topic><topic>Mineralization</topic><topic>Minerals</topic><topic>Miocene</topic><topic>Montmorillonite</topic><topic>Original Paper</topic><topic>Physics</topic><topic>Porphyry copper</topic><topic>Statistics for Engineering</topic><topic>Sustainable Development</topic><topic>Target recognition</topic><topic>X-ray diffraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salehi, Touba</creatorcontrib><creatorcontrib>H. 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Tangestani, Majid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of WorldView-3 VNIR and SWIR Data for Hydrothermal Alteration Mapping for Mineral Exploration: Case Study from Northeastern Isfahan, Iran</atitle><jtitle>Natural resources research (New York, N.Y.)</jtitle><stitle>Nat Resour Res</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>29</volume><issue>6</issue><spage>3479</spage><epage>3503</epage><pages>3479-3503</pages><issn>1520-7439</issn><eissn>1573-8981</eissn><abstract>This research evaluated the capability of WorldView-3 (WV-3) data in discriminating targets related to porphyry copper mineralization at the Tameh district in the Saveh–Yazd belt, northeastern Isfahan, Iran. The few known porphyry copper deposits in this district were formed in association with Oligo-Miocene intrusive bodies. Hydrothermal alteration zones are characterized by iron oxide/hydroxide, sericite, illite, kaolinite, montmorillonite, chlorite, and epidote minerals. The band rationing method and the mixture-tuned matched filtering (MTMF) algorithm were utilized to map and identify targets. The results of band rationing showed that WV-3 VNIR–SWIR data can map and differentiate corchlorite and epidote as well as kaolinite and montmorillonite because of its superior spatial and spectral resolutions in SWIR region, as compared to ASTER data. Considering the similarity of five SWIR bands of WV-3 to the ASTER bands, both datasets help to enhance sericite–illite in similar patterns; however, areas mapped using WV-3 matched well with field evidence. Implementing the MTMF algorithm on the WV-3 VNIR and SWIR data successfully mapped areas with the highest abundances of desired minerals. Microscopic studies of thin sections, spectral investigations, and X-ray diffraction analysis confirmed the occurrence of alteration minerals, which also corresponded well to surface exposures of alterations in the field. Results showed that WV-3 data, with higher spectral and spatial resolutions, provide capability to map and identify hydrothermal alteration minerals and to produce more detailed mineralogical maps, which are valuable in semi-detailed district-scale exploration stages; in contrast, ASTER data yielded information on hydrothermally alteration zones mainly in regional scale.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11053-020-09703-6</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0003-2503-9940</orcidid></addata></record> |
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subjects | Algorithms Chemistry and Earth Sciences Computer Science Copper Earth and Environmental Science Earth Sciences Fossil Fuels (incl. Carbon Capture) Geography Illite Iron oxides Kaolinite Mathematical Modeling and Industrial Mathematics Mineral exploration Mineral Resources Mineralization Minerals Miocene Montmorillonite Original Paper Physics Porphyry copper Statistics for Engineering Sustainable Development Target recognition X-ray diffraction |
title | Evaluation of WorldView-3 VNIR and SWIR Data for Hydrothermal Alteration Mapping for Mineral Exploration: Case Study from Northeastern Isfahan, Iran |
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