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ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration

This paper provides a review of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced Land Imager (ALI), and Hyperion data and applications of the data as a tool for ore minerals exploration, lithological and structural mapping. Spectral information extraction from AST...

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Detalles Bibliográficos
Autores principales: Beiranvand Pour, Amin, Hashim, Mazlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320227/
https://www.ncbi.nlm.nih.gov/pubmed/25674434
http://dx.doi.org/10.1186/2193-1801-3-130
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author Beiranvand Pour, Amin
Hashim, Mazlan
author_facet Beiranvand Pour, Amin
Hashim, Mazlan
author_sort Beiranvand Pour, Amin
collection PubMed
description This paper provides a review of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced Land Imager (ALI), and Hyperion data and applications of the data as a tool for ore minerals exploration, lithological and structural mapping. Spectral information extraction from ASTER, ALI, and Hyperion data has great ability to assist geologists in all disciplines to map the distribution and detect the rock units exposed at the earth’s surface. The near coincidence of Earth Observing System (EOS)/Terra and Earth Observing One (EO-1) platforms allows acquiring ASTER, ALI, and Hyperion imagery of the same ground areas, resulting accurate information for geological mapping applications especially in the reconnaissance stages of hydrothermal copper and gold exploration, chromite, magnetite, massive sulfide and uranium ore deposits, mineral components of soils and structural interpretation at both regional and district scales. Shortwave length infrared and thermal infrared bands of ASTER have sufficient spectral resolution to map fundamental absorptions of hydroxyl mineral groups and silica and carbonate minerals for regional mapping purposes. Ferric-iron bearing minerals can be discriminated using six unique wavelength bands of ALI spanning the visible and near infrared. Hyperion visible and near infrared bands (0.4 to 1.0 μm) and shortwave infrared bands (0.9 to 2.5 μm) allowed to produce image maps of iron oxide minerals, hydroxyl-bearing minerals, sulfates and carbonates in association with hydrothermal alteration assemblages, respectively. The techniques and achievements reviewed in the present paper can further introduce the efficacy of ASTER, ALI, and Hyperion data for future mineral and lithological mapping and exploration of the porphyry copper, epithermal gold, chromite, magnetite, massive sulfide and uranium ore deposits especially in arid and semi-arid territory.
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spelling pubmed-43202272015-02-11 ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration Beiranvand Pour, Amin Hashim, Mazlan Springerplus Review This paper provides a review of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced Land Imager (ALI), and Hyperion data and applications of the data as a tool for ore minerals exploration, lithological and structural mapping. Spectral information extraction from ASTER, ALI, and Hyperion data has great ability to assist geologists in all disciplines to map the distribution and detect the rock units exposed at the earth’s surface. The near coincidence of Earth Observing System (EOS)/Terra and Earth Observing One (EO-1) platforms allows acquiring ASTER, ALI, and Hyperion imagery of the same ground areas, resulting accurate information for geological mapping applications especially in the reconnaissance stages of hydrothermal copper and gold exploration, chromite, magnetite, massive sulfide and uranium ore deposits, mineral components of soils and structural interpretation at both regional and district scales. Shortwave length infrared and thermal infrared bands of ASTER have sufficient spectral resolution to map fundamental absorptions of hydroxyl mineral groups and silica and carbonate minerals for regional mapping purposes. Ferric-iron bearing minerals can be discriminated using six unique wavelength bands of ALI spanning the visible and near infrared. Hyperion visible and near infrared bands (0.4 to 1.0 μm) and shortwave infrared bands (0.9 to 2.5 μm) allowed to produce image maps of iron oxide minerals, hydroxyl-bearing minerals, sulfates and carbonates in association with hydrothermal alteration assemblages, respectively. The techniques and achievements reviewed in the present paper can further introduce the efficacy of ASTER, ALI, and Hyperion data for future mineral and lithological mapping and exploration of the porphyry copper, epithermal gold, chromite, magnetite, massive sulfide and uranium ore deposits especially in arid and semi-arid territory. Springer International Publishing 2014-03-07 /pmc/articles/PMC4320227/ /pubmed/25674434 http://dx.doi.org/10.1186/2193-1801-3-130 Text en © Beiranvand Pour and Hashim; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Review
Beiranvand Pour, Amin
Hashim, Mazlan
ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title_full ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title_fullStr ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title_full_unstemmed ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title_short ASTER, ALI and Hyperion sensors data for lithological mapping and ore minerals exploration
title_sort aster, ali and hyperion sensors data for lithological mapping and ore minerals exploration
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320227/
https://www.ncbi.nlm.nih.gov/pubmed/25674434
http://dx.doi.org/10.1186/2193-1801-3-130
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