Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study

Autores
Bustos, Emilce; Baez, Walter Ariel; Norini, Gianluca; Chiodi, Agostina Laura; Groppelli, Gianluca; Arnosio, José Marcelo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Geological mapping of volcanic areas is important to unravel the evolution of the volcanism with important implication for the assessment of the geologic hazard and the exploration and exploitation of energy and mineral resources. Volcanic mapping in Puna plateau is a challenging task due to inaccessibility, extreme climatic conditions, high altitude above sea level and dangerous issues like minefields, so an effective and validated methodology for mapping isfundamental to ensure the quality of the final results for the end-users. A practical mapping methodology using optical imagery data tested in Cerro Tuzgle because of its well-known stratigraphy is presented. Some of the most common and well known processing techniques (false color combinations, band ratios and principal component analysis) were applied to multispectral data (Landsat 7, Landsat 8 and ASTER). Supervised classification and an assessment of the classification were produced for every image created. The quantitativeaccuracy of the classification maps resulting from different data sets was assessed by comparing the classification with ground truth data extracted from the geological map by means of a confusion matrix and related statistics. From the validation over several processing techniques, we found that supervised classification over PCA in multispectral data was the best methodologyfor lithological mapping in volcanic areas. Comparing the three multispectral sensors used in this work, we achieve better results and more accuracy with ASTER images. Low costs, data availability and broad swath of the multispectral data make these images valuable for lithological mapping in arid volcanic regions. This time- and cost-effective methodology is adequate tocomposite volcano preliminary mapping, but the correct reconstruction of the stratigraphy of a volcano always requires field survey.
Fil: Bustos, Emilce. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Baez, Walter Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Norini, Gianluca. Consiglio Nazionale delle Ricerche; Italia
Fil: Chiodi, Agostina Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Groppelli, Gianluca. Consiglio Nazionale delle Ricerche; Italia
Fil: Arnosio, José Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Materia
VOLCANIC MAPPING
OPTICAL REMOTE SENSING
TUZGLE VOLCANO
PUNA PLATEAU
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/67157
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case studyMapeo litológico de volcanes compuestos en el plateau de la Puna usando datos satelitales ópticos: caso de estudio volcán TuzgleBustos, EmilceBaez, Walter ArielNorini, GianlucaChiodi, Agostina LauraGroppelli, GianlucaArnosio, José MarceloVOLCANIC MAPPINGOPTICAL REMOTE SENSINGTUZGLE VOLCANOPUNA PLATEAUhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Geological mapping of volcanic areas is important to unravel the evolution of the volcanism with important implication for the assessment of the geologic hazard and the exploration and exploitation of energy and mineral resources. Volcanic mapping in Puna plateau is a challenging task due to inaccessibility, extreme climatic conditions, high altitude above sea level and dangerous issues like minefields, so an effective and validated methodology for mapping isfundamental to ensure the quality of the final results for the end-users. A practical mapping methodology using optical imagery data tested in Cerro Tuzgle because of its well-known stratigraphy is presented. Some of the most common and well known processing techniques (false color combinations, band ratios and principal component analysis) were applied to multispectral data (Landsat 7, Landsat 8 and ASTER). Supervised classification and an assessment of the classification were produced for every image created. The quantitativeaccuracy of the classification maps resulting from different data sets was assessed by comparing the classification with ground truth data extracted from the geological map by means of a confusion matrix and related statistics. From the validation over several processing techniques, we found that supervised classification over PCA in multispectral data was the best methodologyfor lithological mapping in volcanic areas. Comparing the three multispectral sensors used in this work, we achieve better results and more accuracy with ASTER images. Low costs, data availability and broad swath of the multispectral data make these images valuable for lithological mapping in arid volcanic regions. This time- and cost-effective methodology is adequate tocomposite volcano preliminary mapping, but the correct reconstruction of the stratigraphy of a volcano always requires field survey.Fil: Bustos, Emilce. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Baez, Walter Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Norini, Gianluca. Consiglio Nazionale delle Ricerche; ItaliaFil: Chiodi, Agostina Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaFil: Groppelli, Gianluca. Consiglio Nazionale delle Ricerche; ItaliaFil: Arnosio, José Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaAsociación Geológica Argentina2017-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/67157Bustos, Emilce; Baez, Walter Ariel; Norini, Gianluca; Chiodi, Agostina Laura; Groppelli, Gianluca; et al.; Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study; Asociación Geológica Argentina; Revista de la Asociación Geológica Argentina; 74; 3; 5-2017; 357-3721669-73161851-8249CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ppct.caicyt.gov.ar/index.php/raga/article/view/8298info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:30Zoai:ri.conicet.gov.ar:11336/67157instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:28:31.11CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
Mapeo litológico de volcanes compuestos en el plateau de la Puna usando datos satelitales ópticos: caso de estudio volcán Tuzgle
title Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
spellingShingle Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
Bustos, Emilce
VOLCANIC MAPPING
OPTICAL REMOTE SENSING
TUZGLE VOLCANO
PUNA PLATEAU
title_short Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
title_full Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
title_fullStr Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
title_full_unstemmed Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
title_sort Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study
dc.creator.none.fl_str_mv Bustos, Emilce
Baez, Walter Ariel
Norini, Gianluca
Chiodi, Agostina Laura
Groppelli, Gianluca
Arnosio, José Marcelo
author Bustos, Emilce
author_facet Bustos, Emilce
Baez, Walter Ariel
Norini, Gianluca
Chiodi, Agostina Laura
Groppelli, Gianluca
Arnosio, José Marcelo
author_role author
author2 Baez, Walter Ariel
Norini, Gianluca
Chiodi, Agostina Laura
Groppelli, Gianluca
Arnosio, José Marcelo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv VOLCANIC MAPPING
OPTICAL REMOTE SENSING
TUZGLE VOLCANO
PUNA PLATEAU
topic VOLCANIC MAPPING
OPTICAL REMOTE SENSING
TUZGLE VOLCANO
PUNA PLATEAU
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Geological mapping of volcanic areas is important to unravel the evolution of the volcanism with important implication for the assessment of the geologic hazard and the exploration and exploitation of energy and mineral resources. Volcanic mapping in Puna plateau is a challenging task due to inaccessibility, extreme climatic conditions, high altitude above sea level and dangerous issues like minefields, so an effective and validated methodology for mapping isfundamental to ensure the quality of the final results for the end-users. A practical mapping methodology using optical imagery data tested in Cerro Tuzgle because of its well-known stratigraphy is presented. Some of the most common and well known processing techniques (false color combinations, band ratios and principal component analysis) were applied to multispectral data (Landsat 7, Landsat 8 and ASTER). Supervised classification and an assessment of the classification were produced for every image created. The quantitativeaccuracy of the classification maps resulting from different data sets was assessed by comparing the classification with ground truth data extracted from the geological map by means of a confusion matrix and related statistics. From the validation over several processing techniques, we found that supervised classification over PCA in multispectral data was the best methodologyfor lithological mapping in volcanic areas. Comparing the three multispectral sensors used in this work, we achieve better results and more accuracy with ASTER images. Low costs, data availability and broad swath of the multispectral data make these images valuable for lithological mapping in arid volcanic regions. This time- and cost-effective methodology is adequate tocomposite volcano preliminary mapping, but the correct reconstruction of the stratigraphy of a volcano always requires field survey.
Fil: Bustos, Emilce. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Baez, Walter Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Norini, Gianluca. Consiglio Nazionale delle Ricerche; Italia
Fil: Chiodi, Agostina Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Fil: Groppelli, Gianluca. Consiglio Nazionale delle Ricerche; Italia
Fil: Arnosio, José Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
description Geological mapping of volcanic areas is important to unravel the evolution of the volcanism with important implication for the assessment of the geologic hazard and the exploration and exploitation of energy and mineral resources. Volcanic mapping in Puna plateau is a challenging task due to inaccessibility, extreme climatic conditions, high altitude above sea level and dangerous issues like minefields, so an effective and validated methodology for mapping isfundamental to ensure the quality of the final results for the end-users. A practical mapping methodology using optical imagery data tested in Cerro Tuzgle because of its well-known stratigraphy is presented. Some of the most common and well known processing techniques (false color combinations, band ratios and principal component analysis) were applied to multispectral data (Landsat 7, Landsat 8 and ASTER). Supervised classification and an assessment of the classification were produced for every image created. The quantitativeaccuracy of the classification maps resulting from different data sets was assessed by comparing the classification with ground truth data extracted from the geological map by means of a confusion matrix and related statistics. From the validation over several processing techniques, we found that supervised classification over PCA in multispectral data was the best methodologyfor lithological mapping in volcanic areas. Comparing the three multispectral sensors used in this work, we achieve better results and more accuracy with ASTER images. Low costs, data availability and broad swath of the multispectral data make these images valuable for lithological mapping in arid volcanic regions. This time- and cost-effective methodology is adequate tocomposite volcano preliminary mapping, but the correct reconstruction of the stratigraphy of a volcano always requires field survey.
publishDate 2017
dc.date.none.fl_str_mv 2017-05
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/11336/67157
Bustos, Emilce; Baez, Walter Ariel; Norini, Gianluca; Chiodi, Agostina Laura; Groppelli, Gianluca; et al.; Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study; Asociación Geológica Argentina; Revista de la Asociación Geológica Argentina; 74; 3; 5-2017; 357-372
1669-7316
1851-8249
CONICET Digital
CONICET
url http://hdl.handle.net/11336/67157
identifier_str_mv Bustos, Emilce; Baez, Walter Ariel; Norini, Gianluca; Chiodi, Agostina Laura; Groppelli, Gianluca; et al.; Using optical imagery data for lithological mapping of composite volcanoes in high arid puna plateau. Tuzgle volcano case study; Asociación Geológica Argentina; Revista de la Asociación Geológica Argentina; 74; 3; 5-2017; 357-372
1669-7316
1851-8249
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ppct.caicyt.gov.ar/index.php/raga/article/view/8298
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Asociación Geológica Argentina
publisher.none.fl_str_mv Asociación Geológica Argentina
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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