Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan

Autores
Pérez, D.J.; D'Odorico Benites, P.E.; Godeas, M.C.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The advanced spaceborne thermal emission and reflection radiometer (ASTER) was used to identify different deposits of hydrothermal alteration which indicates that several important lithological groups can be mapped in areas with good exposure by using spectral-matching techniques. Different methods are tested in order to identify and map zones with hydrothermal alteration minerals using the ASTER dataset. These areas are often referred to having large quantities of clay minerals which can be detected using multispectral imagery. Several authors have developed different procedures to map these hydrothermal minerals. Among the simplest ones, band combinations and band ratios have proven to be very useful tools for identifying targets. Lithology indexes point to reinforce the spectral response of this group of minerals working with band products and ratios. So far, these techniques do not need a full image correction. Other methods here employed require further processing of the ASTER scene, especially when spectral data are used. These techniques include spectral angle mapper (SAM) classification and minimum noise fraction (MNF) transforms to segregate noise and reduce computational requirements. Spectral data used in this paper were collected from field samples using SWIR (short wave infrared) reflectance spectroscopy and derived from the scene itself. These mapping methods have been tested in areas of known hydrothermal alteration occurrences, e.g. Los Pelambres, El Pachón and Altar, and in other sector of Santa Cruz region like Carnicerias and La Coipa; all of these at the south westernmost part of San Juan province. The result of this work is here presented as a series of images showing lithology indexes and an expected mineral assembly.
Fil:Pérez, D.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Godeas, M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Rev. Asoc. Geol. Argent. 2010;66(4):623-633
Materia
ASTER
Cordillera Frontal
Hydrothermal alteration
Miocene
Remote sensing
San Juan
ASTER
clay mineral
cordillera
hydrothermal alteration
hydrothermal deposit
lithology
Miocene
multispectral image
remote sensing
satellite data
Andes
Argentina
Cordillera Frontal
San Juan [Argentina]
Santa Cruz [Argentina]
Santa Cruz River [Santa Cruz]
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_00044822_v66_n4_p623_Perez

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oai_identifier_str paperaa:paper_00044822_v66_n4_p623_Perez
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repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan Pérez, D.J.D'Odorico Benites, P.E.Godeas, M.C.ASTERCordillera FrontalHydrothermal alterationMioceneRemote sensingSan JuanASTERclay mineralcordillerahydrothermal alterationhydrothermal depositlithologyMiocenemultispectral imageremote sensingsatellite dataAndesArgentinaCordillera FrontalSan Juan [Argentina]Santa Cruz [Argentina]Santa Cruz River [Santa Cruz]The advanced spaceborne thermal emission and reflection radiometer (ASTER) was used to identify different deposits of hydrothermal alteration which indicates that several important lithological groups can be mapped in areas with good exposure by using spectral-matching techniques. Different methods are tested in order to identify and map zones with hydrothermal alteration minerals using the ASTER dataset. These areas are often referred to having large quantities of clay minerals which can be detected using multispectral imagery. Several authors have developed different procedures to map these hydrothermal minerals. Among the simplest ones, band combinations and band ratios have proven to be very useful tools for identifying targets. Lithology indexes point to reinforce the spectral response of this group of minerals working with band products and ratios. So far, these techniques do not need a full image correction. Other methods here employed require further processing of the ASTER scene, especially when spectral data are used. These techniques include spectral angle mapper (SAM) classification and minimum noise fraction (MNF) transforms to segregate noise and reduce computational requirements. Spectral data used in this paper were collected from field samples using SWIR (short wave infrared) reflectance spectroscopy and derived from the scene itself. These mapping methods have been tested in areas of known hydrothermal alteration occurrences, e.g. Los Pelambres, El Pachón and Altar, and in other sector of Santa Cruz region like Carnicerias and La Coipa; all of these at the south westernmost part of San Juan province. The result of this work is here presented as a series of images showing lithology indexes and an expected mineral assembly.Fil:Pérez, D.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Godeas, M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2010info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p623_PerezRev. Asoc. Geol. Argent. 2010;66(4):623-633reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:43:03Zpaperaa:paper_00044822_v66_n4_p623_PerezInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:43:04.766Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
title Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
spellingShingle Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
Pérez, D.J.
ASTER
Cordillera Frontal
Hydrothermal alteration
Miocene
Remote sensing
San Juan
ASTER
clay mineral
cordillera
hydrothermal alteration
hydrothermal deposit
lithology
Miocene
multispectral image
remote sensing
satellite data
Andes
Argentina
Cordillera Frontal
San Juan [Argentina]
Santa Cruz [Argentina]
Santa Cruz River [Santa Cruz]
title_short Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
title_full Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
title_fullStr Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
title_full_unstemmed Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
title_sort Reconnaissance of hydrothermal alteration with the ASTER sensor, in the middle course of Río Santa Cruz (31°40' S), province of San Juan
dc.creator.none.fl_str_mv Pérez, D.J.
D'Odorico Benites, P.E.
Godeas, M.C.
author Pérez, D.J.
author_facet Pérez, D.J.
D'Odorico Benites, P.E.
Godeas, M.C.
author_role author
author2 D'Odorico Benites, P.E.
Godeas, M.C.
author2_role author
author
dc.subject.none.fl_str_mv ASTER
Cordillera Frontal
Hydrothermal alteration
Miocene
Remote sensing
San Juan
ASTER
clay mineral
cordillera
hydrothermal alteration
hydrothermal deposit
lithology
Miocene
multispectral image
remote sensing
satellite data
Andes
Argentina
Cordillera Frontal
San Juan [Argentina]
Santa Cruz [Argentina]
Santa Cruz River [Santa Cruz]
topic ASTER
Cordillera Frontal
Hydrothermal alteration
Miocene
Remote sensing
San Juan
ASTER
clay mineral
cordillera
hydrothermal alteration
hydrothermal deposit
lithology
Miocene
multispectral image
remote sensing
satellite data
Andes
Argentina
Cordillera Frontal
San Juan [Argentina]
Santa Cruz [Argentina]
Santa Cruz River [Santa Cruz]
dc.description.none.fl_txt_mv The advanced spaceborne thermal emission and reflection radiometer (ASTER) was used to identify different deposits of hydrothermal alteration which indicates that several important lithological groups can be mapped in areas with good exposure by using spectral-matching techniques. Different methods are tested in order to identify and map zones with hydrothermal alteration minerals using the ASTER dataset. These areas are often referred to having large quantities of clay minerals which can be detected using multispectral imagery. Several authors have developed different procedures to map these hydrothermal minerals. Among the simplest ones, band combinations and band ratios have proven to be very useful tools for identifying targets. Lithology indexes point to reinforce the spectral response of this group of minerals working with band products and ratios. So far, these techniques do not need a full image correction. Other methods here employed require further processing of the ASTER scene, especially when spectral data are used. These techniques include spectral angle mapper (SAM) classification and minimum noise fraction (MNF) transforms to segregate noise and reduce computational requirements. Spectral data used in this paper were collected from field samples using SWIR (short wave infrared) reflectance spectroscopy and derived from the scene itself. These mapping methods have been tested in areas of known hydrothermal alteration occurrences, e.g. Los Pelambres, El Pachón and Altar, and in other sector of Santa Cruz region like Carnicerias and La Coipa; all of these at the south westernmost part of San Juan province. The result of this work is here presented as a series of images showing lithology indexes and an expected mineral assembly.
Fil:Pérez, D.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Godeas, M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description The advanced spaceborne thermal emission and reflection radiometer (ASTER) was used to identify different deposits of hydrothermal alteration which indicates that several important lithological groups can be mapped in areas with good exposure by using spectral-matching techniques. Different methods are tested in order to identify and map zones with hydrothermal alteration minerals using the ASTER dataset. These areas are often referred to having large quantities of clay minerals which can be detected using multispectral imagery. Several authors have developed different procedures to map these hydrothermal minerals. Among the simplest ones, band combinations and band ratios have proven to be very useful tools for identifying targets. Lithology indexes point to reinforce the spectral response of this group of minerals working with band products and ratios. So far, these techniques do not need a full image correction. Other methods here employed require further processing of the ASTER scene, especially when spectral data are used. These techniques include spectral angle mapper (SAM) classification and minimum noise fraction (MNF) transforms to segregate noise and reduce computational requirements. Spectral data used in this paper were collected from field samples using SWIR (short wave infrared) reflectance spectroscopy and derived from the scene itself. These mapping methods have been tested in areas of known hydrothermal alteration occurrences, e.g. Los Pelambres, El Pachón and Altar, and in other sector of Santa Cruz region like Carnicerias and La Coipa; all of these at the south westernmost part of San Juan province. The result of this work is here presented as a series of images showing lithology indexes and an expected mineral assembly.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p623_Perez
url http://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p623_Perez
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Rev. Asoc. Geol. Argent. 2010;66(4):623-633
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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