Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina

Autores
Bonansea, Matías; Bazán, R.; Pagot, M.; Pinotti, L.; Ledesma, C.; Rodríguez, C.
Año de publicación
2014
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Remote sensing can be used as a complementary tool in water quality monitoring of aquatic ecosystems. The aim of this study was to develop models to estimate the spatial distribution of chlorophyll-a concentration (Chl-a) in Los Molinos reservoir using Landsat 7 ETM + and ASTER imagery. Los Molinos reservoir (32 º 49 ‘S, 64 º 32’ W) is a multipurpose system used as the second source of water supply for Córdoba’s city. Physical, chemical and biological parameters were measured in the water body coinciding with the passage of the satellites by the study area. Using different statistical techniques, satellite information was related to field data obtaining algorithms that best explained the distribution of Chl-a. These models were validated and used to construct maps providing spatially rich information on patterns of water quality throughout the reservoir. Both sensors could be used for Chl-a monitoring. ASTER sensor, with higher spatial resolution that ETM+, showed a better relationship between observed versus estimated Chl-a data allowing a better discrimination of the spatial variation of the analysed parameter. The generated models can provide a basis for planning future water quality monitoring in different water bodies.
Facultad de Ciencias Naturales y Museo
Materia
Ciencias Naturales
Clorofila
Córdoba (Argentina)
embalse; sensoramiento remoto; concentración de clorofila-a; Landsat; ASTER
reservoir; remote sensing; Chlorophyll-a concentration; Landsat; ASTER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/53008
Acceder
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network_name_str SEDICI (UNLP)
spelling Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, ArgentinaBonansea, MatíasBazán, R.Pagot, M.Pinotti, L.Ledesma, C.Rodríguez, C.Ciencias NaturalesClorofilaCórdoba (Argentina)embalse; sensoramiento remoto; concentración de clorofila-a; Landsat; ASTERreservoir; remote sensing; Chlorophyll-a concentration; Landsat; ASTERRemote sensing can be used as a complementary tool in water quality monitoring of aquatic ecosystems. The aim of this study was to develop models to estimate the spatial distribution of chlorophyll-a concentration (Chl-a) in Los Molinos reservoir using Landsat 7 ETM + and ASTER imagery. Los Molinos reservoir (32 º 49 ‘S, 64 º 32’ W) is a multipurpose system used as the second source of water supply for Córdoba’s city. Physical, chemical and biological parameters were measured in the water body coinciding with the passage of the satellites by the study area. Using different statistical techniques, satellite information was related to field data obtaining algorithms that best explained the distribution of Chl-a. These models were validated and used to construct maps providing spatially rich information on patterns of water quality throughout the reservoir. Both sensors could be used for Chl-a monitoring. ASTER sensor, with higher spatial resolution that ETM+, showed a better relationship between observed versus estimated Chl-a data allowing a better discrimination of the spatial variation of the analysed parameter. The generated models can provide a basis for planning future water quality monitoring in different water bodies.Facultad de Ciencias Naturales y Museo2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf69-77http://sedici.unlp.edu.ar/handle/10915/53008spainfo:eu-repo/semantics/altIdentifier/url/http://www.bacuatica.org/index.php/bacuatica/article/view/23/11info:eu-repo/semantics/altIdentifier/issn/1668-4869info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:04:54Zoai:sedici.unlp.edu.ar:10915/53008Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:04:54.581SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
title Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
spellingShingle Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
Bonansea, Matías
Ciencias Naturales
Clorofila
Córdoba (Argentina)
embalse; sensoramiento remoto; concentración de clorofila-a; Landsat; ASTER
reservoir; remote sensing; Chlorophyll-a concentration; Landsat; ASTER
title_short Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
title_full Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
title_fullStr Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
title_full_unstemmed Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
title_sort Utilización de imágenes ASTER y Landsat para el monitoreo de la concentración de clorofila-a en el embalse Los Molinos, Córdoba, Argentina
dc.creator.none.fl_str_mv Bonansea, Matías
Bazán, R.
Pagot, M.
Pinotti, L.
Ledesma, C.
Rodríguez, C.
author Bonansea, Matías
author_facet Bonansea, Matías
Bazán, R.
Pagot, M.
Pinotti, L.
Ledesma, C.
Rodríguez, C.
author_role author
author2 Bazán, R.
Pagot, M.
Pinotti, L.
Ledesma, C.
Rodríguez, C.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Naturales
Clorofila
Córdoba (Argentina)
embalse; sensoramiento remoto; concentración de clorofila-a; Landsat; ASTER
reservoir; remote sensing; Chlorophyll-a concentration; Landsat; ASTER
topic Ciencias Naturales
Clorofila
Córdoba (Argentina)
embalse; sensoramiento remoto; concentración de clorofila-a; Landsat; ASTER
reservoir; remote sensing; Chlorophyll-a concentration; Landsat; ASTER
dc.description.none.fl_txt_mv Remote sensing can be used as a complementary tool in water quality monitoring of aquatic ecosystems. The aim of this study was to develop models to estimate the spatial distribution of chlorophyll-a concentration (Chl-a) in Los Molinos reservoir using Landsat 7 ETM + and ASTER imagery. Los Molinos reservoir (32 º 49 ‘S, 64 º 32’ W) is a multipurpose system used as the second source of water supply for Córdoba’s city. Physical, chemical and biological parameters were measured in the water body coinciding with the passage of the satellites by the study area. Using different statistical techniques, satellite information was related to field data obtaining algorithms that best explained the distribution of Chl-a. These models were validated and used to construct maps providing spatially rich information on patterns of water quality throughout the reservoir. Both sensors could be used for Chl-a monitoring. ASTER sensor, with higher spatial resolution that ETM+, showed a better relationship between observed versus estimated Chl-a data allowing a better discrimination of the spatial variation of the analysed parameter. The generated models can provide a basis for planning future water quality monitoring in different water bodies.
Facultad de Ciencias Naturales y Museo
description Remote sensing can be used as a complementary tool in water quality monitoring of aquatic ecosystems. The aim of this study was to develop models to estimate the spatial distribution of chlorophyll-a concentration (Chl-a) in Los Molinos reservoir using Landsat 7 ETM + and ASTER imagery. Los Molinos reservoir (32 º 49 ‘S, 64 º 32’ W) is a multipurpose system used as the second source of water supply for Córdoba’s city. Physical, chemical and biological parameters were measured in the water body coinciding with the passage of the satellites by the study area. Using different statistical techniques, satellite information was related to field data obtaining algorithms that best explained the distribution of Chl-a. These models were validated and used to construct maps providing spatially rich information on patterns of water quality throughout the reservoir. Both sensors could be used for Chl-a monitoring. ASTER sensor, with higher spatial resolution that ETM+, showed a better relationship between observed versus estimated Chl-a data allowing a better discrimination of the spatial variation of the analysed parameter. The generated models can provide a basis for planning future water quality monitoring in different water bodies.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/53008
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dc.language.none.fl_str_mv spa
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.bacuatica.org/index.php/bacuatica/article/view/23/11
info:eu-repo/semantics/altIdentifier/issn/1668-4869
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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