Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site

Autores
Arena, Maximiliano; Delgado, Ana Laura; Pratolongo, Paula Daniela; Celleri, Carla; Vitale, Alejandro José
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
AERONET-OC collects data from worldwide distributed autonomous CE-318 sunphotometers adapted to provide measurements of the radiance emerging from the sea (i.e., water-leaving radiance). The network supports satellite ocean color validation activities through standardized measurements performed at different sites with a single measuring system and protocol. In January 2020 the Bahía Blanca site was established at the mouth of the main navigation channel of the Bahía Blanca Estuary, a complex system where widespread erosion and strong tidal currents are responsible for the typically high suspended loads in the channel. In this work we present a validation of three different algorithms for the atmospheric correction of Landsat-OLI scenes over the area, based on AERONETOC data and in situ measurements obtained with a hand-held spectroradiometer. Surface remote sensing reflectance was used to retrieve satellite turbidity and the algorithm performance was tested using turbidity measurements obtained from water samples collected simultaneously with satellite overpasses. According to our results, the best fit was obtained with the atmospheric correction algorithm based on the black-pixel assumption, with the aerosol type estimated using the two OLI-SWIR bands and allowed to vary spatially (per pixel variable epsilon). The aerosol type changed along the estuary, with an epsilon parameter that commonly decreased from the inner section through the mouth. The regression line of in situ measurements with satellite turbidity showed a good performance (R2 = 0.97, n=20), with a high accuracy (RMSE = 4.03, NMAE= 0.16) and no tendency to over or underestimation (BIAS = 0.63). The application of properly validated algorithms to satellite data from high spatial resolution images allowed for the identification of detailed turbidity features in the estuary, resulting from re‐suspension phenomena over banks and turbulent currents.
Fil: Arena, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Delgado, Ana Laura. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Pratolongo, Paula Daniela. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
XIX Reunión de Tabajo en Procesamiento de la Información y Control
San Juan
Argentina
Instituto de Automática
Facultad de Ingeniería de la Universidad Nacional de San Juan
Materia
OCEAN COLORS
TURBID WATERS
LANDSAT-8-OLI
BAHÍA BLANCA ESTUARY
ATMOSPHERIC CORRECTION
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:11336/261350
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca siteArena, MaximilianoDelgado, Ana LauraPratolongo, Paula DanielaCelleri, CarlaVitale, Alejandro JoséOCEAN COLORSTURBID WATERSLANDSAT-8-OLIBAHÍA BLANCA ESTUARYATMOSPHERIC CORRECTIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1AERONET-OC collects data from worldwide distributed autonomous CE-318 sunphotometers adapted to provide measurements of the radiance emerging from the sea (i.e., water-leaving radiance). The network supports satellite ocean color validation activities through standardized measurements performed at different sites with a single measuring system and protocol. In January 2020 the Bahía Blanca site was established at the mouth of the main navigation channel of the Bahía Blanca Estuary, a complex system where widespread erosion and strong tidal currents are responsible for the typically high suspended loads in the channel. In this work we present a validation of three different algorithms for the atmospheric correction of Landsat-OLI scenes over the area, based on AERONETOC data and in situ measurements obtained with a hand-held spectroradiometer. Surface remote sensing reflectance was used to retrieve satellite turbidity and the algorithm performance was tested using turbidity measurements obtained from water samples collected simultaneously with satellite overpasses. According to our results, the best fit was obtained with the atmospheric correction algorithm based on the black-pixel assumption, with the aerosol type estimated using the two OLI-SWIR bands and allowed to vary spatially (per pixel variable epsilon). The aerosol type changed along the estuary, with an epsilon parameter that commonly decreased from the inner section through the mouth. The regression line of in situ measurements with satellite turbidity showed a good performance (R2 = 0.97, n=20), with a high accuracy (RMSE = 4.03, NMAE= 0.16) and no tendency to over or underestimation (BIAS = 0.63). The application of properly validated algorithms to satellite data from high spatial resolution images allowed for the identification of detailed turbidity features in the estuary, resulting from re‐suspension phenomena over banks and turbulent currents.Fil: Arena, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: Delgado, Ana Laura. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Pratolongo, Paula Daniela. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; ArgentinaFil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaXIX Reunión de Tabajo en Procesamiento de la Información y ControlSan JuanArgentinaInstituto de AutomáticaFacultad de Ingeniería de la Universidad Nacional de San JuanUniversidad Nacional de San Juan2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261350Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site; XIX Reunión de Tabajo en Procesamiento de la Información y Control; San Juan; Argentina; 2021; 577-578978-987-88-2891-6CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.rpic.com.ar/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:01Zoai:ri.conicet.gov.ar:11336/261350instacron: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 09:52:01.51CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
title Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
spellingShingle Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
Arena, Maximiliano
OCEAN COLORS
TURBID WATERS
LANDSAT-8-OLI
BAHÍA BLANCA ESTUARY
ATMOSPHERIC CORRECTION
title_short Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
title_full Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
title_fullStr Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
title_full_unstemmed Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
title_sort Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site
dc.creator.none.fl_str_mv Arena, Maximiliano
Delgado, Ana Laura
Pratolongo, Paula Daniela
Celleri, Carla
Vitale, Alejandro José
author Arena, Maximiliano
author_facet Arena, Maximiliano
Delgado, Ana Laura
Pratolongo, Paula Daniela
Celleri, Carla
Vitale, Alejandro José
author_role author
author2 Delgado, Ana Laura
Pratolongo, Paula Daniela
Celleri, Carla
Vitale, Alejandro José
author2_role author
author
author
author
dc.subject.none.fl_str_mv OCEAN COLORS
TURBID WATERS
LANDSAT-8-OLI
BAHÍA BLANCA ESTUARY
ATMOSPHERIC CORRECTION
topic OCEAN COLORS
TURBID WATERS
LANDSAT-8-OLI
BAHÍA BLANCA ESTUARY
ATMOSPHERIC CORRECTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv AERONET-OC collects data from worldwide distributed autonomous CE-318 sunphotometers adapted to provide measurements of the radiance emerging from the sea (i.e., water-leaving radiance). The network supports satellite ocean color validation activities through standardized measurements performed at different sites with a single measuring system and protocol. In January 2020 the Bahía Blanca site was established at the mouth of the main navigation channel of the Bahía Blanca Estuary, a complex system where widespread erosion and strong tidal currents are responsible for the typically high suspended loads in the channel. In this work we present a validation of three different algorithms for the atmospheric correction of Landsat-OLI scenes over the area, based on AERONETOC data and in situ measurements obtained with a hand-held spectroradiometer. Surface remote sensing reflectance was used to retrieve satellite turbidity and the algorithm performance was tested using turbidity measurements obtained from water samples collected simultaneously with satellite overpasses. According to our results, the best fit was obtained with the atmospheric correction algorithm based on the black-pixel assumption, with the aerosol type estimated using the two OLI-SWIR bands and allowed to vary spatially (per pixel variable epsilon). The aerosol type changed along the estuary, with an epsilon parameter that commonly decreased from the inner section through the mouth. The regression line of in situ measurements with satellite turbidity showed a good performance (R2 = 0.97, n=20), with a high accuracy (RMSE = 4.03, NMAE= 0.16) and no tendency to over or underestimation (BIAS = 0.63). The application of properly validated algorithms to satellite data from high spatial resolution images allowed for the identification of detailed turbidity features in the estuary, resulting from re‐suspension phenomena over banks and turbulent currents.
Fil: Arena, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Delgado, Ana Laura. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Pratolongo, Paula Daniela. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
XIX Reunión de Tabajo en Procesamiento de la Información y Control
San Juan
Argentina
Instituto de Automática
Facultad de Ingeniería de la Universidad Nacional de San Juan
description AERONET-OC collects data from worldwide distributed autonomous CE-318 sunphotometers adapted to provide measurements of the radiance emerging from the sea (i.e., water-leaving radiance). The network supports satellite ocean color validation activities through standardized measurements performed at different sites with a single measuring system and protocol. In January 2020 the Bahía Blanca site was established at the mouth of the main navigation channel of the Bahía Blanca Estuary, a complex system where widespread erosion and strong tidal currents are responsible for the typically high suspended loads in the channel. In this work we present a validation of three different algorithms for the atmospheric correction of Landsat-OLI scenes over the area, based on AERONETOC data and in situ measurements obtained with a hand-held spectroradiometer. Surface remote sensing reflectance was used to retrieve satellite turbidity and the algorithm performance was tested using turbidity measurements obtained from water samples collected simultaneously with satellite overpasses. According to our results, the best fit was obtained with the atmospheric correction algorithm based on the black-pixel assumption, with the aerosol type estimated using the two OLI-SWIR bands and allowed to vary spatially (per pixel variable epsilon). The aerosol type changed along the estuary, with an epsilon parameter that commonly decreased from the inner section through the mouth. The regression line of in situ measurements with satellite turbidity showed a good performance (R2 = 0.97, n=20), with a high accuracy (RMSE = 4.03, NMAE= 0.16) and no tendency to over or underestimation (BIAS = 0.63). The application of properly validated algorithms to satellite data from high spatial resolution images allowed for the identification of detailed turbidity features in the estuary, resulting from re‐suspension phenomena over banks and turbulent currents.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/261350
Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site; XIX Reunión de Tabajo en Procesamiento de la Información y Control; San Juan; Argentina; 2021; 577-578
978-987-88-2891-6
CONICET Digital
CONICET
url http://hdl.handle.net/11336/261350
identifier_str_mv Validation of the atmospheric correction of Landsat OLI imagery and turbidity retrievals using AERONET-OC data from the Bahía Blanca site; XIX Reunión de Tabajo en Procesamiento de la Información y Control; San Juan; Argentina; 2021; 577-578
978-987-88-2891-6
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.rpic.com.ar/
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
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Universidad Nacional de San Juan
publisher.none.fl_str_mv Universidad Nacional de San Juan
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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score 13.070432

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