Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China

One of the most important characteristics of porphyry copper deposits (PCDs) is the type and distribution pattern of alteration zones which can be used for screening and recognizing these deposits. Hydrothermal alteration minerals with diagnostic spectral absorption properties in the visible and nea...

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Main Authors: Tingbin Zhang, Guihua Yi, Hongmei Li, Ziyi Wang, Juxing Tang, Kanghui Zhong, Yubin Li, Qin Wang, Xiaojuan Bie
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Remote Sensing
Subjects:
AO
Online Access:http://www.mdpi.com/2072-4292/8/11/890
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spelling doaj-4c7fb0201fd04ac0990558866abf07852020-11-24T23:43:26ZengMDPI AGRemote Sensing2072-42922016-10-0181189010.3390/rs8110890rs8110890Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, ChinaTingbin Zhang0Guihua Yi1Hongmei Li2Ziyi Wang3Juxing Tang4Kanghui Zhong5Yubin Li6Qin Wang7Xiaojuan Bie8College of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences (CAGS), Beijing 100037, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaTibet Bureau of Geology and Mineral Exploration and Development, Lhasa 850000, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology (CDUT), Chengdu 610059, ChinaOne of the most important characteristics of porphyry copper deposits (PCDs) is the type and distribution pattern of alteration zones which can be used for screening and recognizing these deposits. Hydrothermal alteration minerals with diagnostic spectral absorption properties in the visible and near-infrared (VNIR) through the shortwave infrared (SWIR) regions can be identified by multispectral and hyperspectral remote sensing data. Six Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) bands in SWIR have been shown to be effective in the mapping of Al-OH, Fe-OH, Mg-OH group minerals. The five VNIR bands of Landsat-8 (L8) Operational Land Imager (OLI) are useful for discriminating ferric iron alteration minerals. In the absence of complete hyperspectral coverage area, an opportunity, however, exists to integrate ASTER and L8-OLI (AO) to compensate each other’s shortcomings in covering area for mineral mapping. This study examines the potential of AO data in mineral mapping in an arid area of the Duolong porphyry Cu-Au deposit(Tibetan Plateau in China) by using spectral analysis techniques. Results show the following conclusions: (1) Combination of ASTER and L8-OLI data (AO) has more mineral information content than either alone; (2) The Duolong PCD alteration zones of phyllic, argillic and propylitic zones are mapped using ASTER SWIR bands and the iron-bearing mineral information is best mapped using AO VNIR bands; (3) The multispectral integration data of AO can provide a compensatory data of ASTER VNIR bands for iron-bearing mineral mapping in the arid and semi-arid areas.http://www.mdpi.com/2072-4292/8/11/890ASTERLandsat-8 OLIAOmultispectral data integrationmineral mappingremote sensingporphyry copper depositDuolongTibetan Plateau
collection DOAJ
language English
format Article
sources DOAJ
author Tingbin Zhang
Guihua Yi
Hongmei Li
Ziyi Wang
Juxing Tang
Kanghui Zhong
Yubin Li
Qin Wang
Xiaojuan Bie
spellingShingle Tingbin Zhang
Guihua Yi
Hongmei Li
Ziyi Wang
Juxing Tang
Kanghui Zhong
Yubin Li
Qin Wang
Xiaojuan Bie
Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
Remote Sensing
ASTER
Landsat-8 OLI
AO
multispectral data integration
mineral mapping
remote sensing
porphyry copper deposit
Duolong
Tibetan Plateau
author_facet Tingbin Zhang
Guihua Yi
Hongmei Li
Ziyi Wang
Juxing Tang
Kanghui Zhong
Yubin Li
Qin Wang
Xiaojuan Bie
author_sort Tingbin Zhang
title Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
title_short Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
title_full Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
title_fullStr Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
title_full_unstemmed Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
title_sort integrating data of aster and landsat-8 oli (ao) for hydrothermal alteration mineral mapping in duolong porphyry cu-au deposit, tibetan plateau, china
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2016-10-01
description One of the most important characteristics of porphyry copper deposits (PCDs) is the type and distribution pattern of alteration zones which can be used for screening and recognizing these deposits. Hydrothermal alteration minerals with diagnostic spectral absorption properties in the visible and near-infrared (VNIR) through the shortwave infrared (SWIR) regions can be identified by multispectral and hyperspectral remote sensing data. Six Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) bands in SWIR have been shown to be effective in the mapping of Al-OH, Fe-OH, Mg-OH group minerals. The five VNIR bands of Landsat-8 (L8) Operational Land Imager (OLI) are useful for discriminating ferric iron alteration minerals. In the absence of complete hyperspectral coverage area, an opportunity, however, exists to integrate ASTER and L8-OLI (AO) to compensate each other’s shortcomings in covering area for mineral mapping. This study examines the potential of AO data in mineral mapping in an arid area of the Duolong porphyry Cu-Au deposit(Tibetan Plateau in China) by using spectral analysis techniques. Results show the following conclusions: (1) Combination of ASTER and L8-OLI data (AO) has more mineral information content than either alone; (2) The Duolong PCD alteration zones of phyllic, argillic and propylitic zones are mapped using ASTER SWIR bands and the iron-bearing mineral information is best mapped using AO VNIR bands; (3) The multispectral integration data of AO can provide a compensatory data of ASTER VNIR bands for iron-bearing mineral mapping in the arid and semi-arid areas.
topic ASTER
Landsat-8 OLI
AO
multispectral data integration
mineral mapping
remote sensing
porphyry copper deposit
Duolong
Tibetan Plateau
url http://www.mdpi.com/2072-4292/8/11/890
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