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
- 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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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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