Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique

Autores
Gossn, Juan Ignacio; Frouin, Robert; Dogliotti, Ana Inés
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Estimating water reflectance accurately from satellite optical data requires implementing an accurate atmospheric correction (AC) scheme, a particularly challenging task over optically complex water bodies, where the signal that comes from the water prevents using the near-infrared (NIR) bands to separate the perturbing atmospheric signal. In the present work, we propose a new AC scheme specially designed for the Río de la Plata—a funnel-shaped estuary in the Argentine– Uruguayan border—highly scattering turbid waters. This new AC scheme uses far shortwave infrared (SWIR) bands but unlike previous algorithms relates the atmospheric signal in the SWIR to the signal in the near-infrared (NIR) and visible (VIS) bands based on the decomposition into principal components of the atmospheric signal. We describe the theoretical basis of the algorithm, analyze the spectral features of the simulated principal components, theoretically address the impact of noise on the results, and perform match-ups exercises using in situ measurements and Moderate Resolution Imaging Spectrometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) imagery over the region. Plausible water reflectance retrievals were obtained in the NIR and VIS bands from both simulations and match-ups using field data—with better performance (i.e., lowest errors and offsets, and slopes closest to 1) compared to existing AC schemes implemented in the NASA Data Analysis Software (SeaDAS). Moreover, retrievals over images in the VIS and NIR bands showed low noise, and the correlation was low between aerosol and water reflectance spatial fields.
Fil: Gossn, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Frouin, Robert. University of California at San Diego. Scripps Institution of Oceanography; Estados Unidos
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Materia
ATMOSPHERIC CORRECTION
EXTREMELY TURBID WATERS
MODIS
NEAR-INFRARED
OCEAN COLOR IMAGERY
PRINCIPAL COMPONENT ANALYSIS
RÍO DE LA PLATA
SHORTWAVE INFRARED
VIIRS
VISIBLE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/181256
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/181256
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition techniqueGossn, Juan IgnacioFrouin, RobertDogliotti, Ana InésATMOSPHERIC CORRECTIONEXTREMELY TURBID WATERSMODISNEAR-INFRAREDOCEAN COLOR IMAGERYPRINCIPAL COMPONENT ANALYSISRÍO DE LA PLATASHORTWAVE INFRAREDVIIRSVISIBLEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Estimating water reflectance accurately from satellite optical data requires implementing an accurate atmospheric correction (AC) scheme, a particularly challenging task over optically complex water bodies, where the signal that comes from the water prevents using the near-infrared (NIR) bands to separate the perturbing atmospheric signal. In the present work, we propose a new AC scheme specially designed for the Río de la Plata—a funnel-shaped estuary in the Argentine– Uruguayan border—highly scattering turbid waters. This new AC scheme uses far shortwave infrared (SWIR) bands but unlike previous algorithms relates the atmospheric signal in the SWIR to the signal in the near-infrared (NIR) and visible (VIS) bands based on the decomposition into principal components of the atmospheric signal. We describe the theoretical basis of the algorithm, analyze the spectral features of the simulated principal components, theoretically address the impact of noise on the results, and perform match-ups exercises using in situ measurements and Moderate Resolution Imaging Spectrometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) imagery over the region. Plausible water reflectance retrievals were obtained in the NIR and VIS bands from both simulations and match-ups using field data—with better performance (i.e., lowest errors and offsets, and slopes closest to 1) compared to existing AC schemes implemented in the NASA Data Analysis Software (SeaDAS). Moreover, retrievals over images in the VIS and NIR bands showed low noise, and the correlation was low between aerosol and water reflectance spatial fields.Fil: Gossn, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Frouin, Robert. University of California at San Diego. Scripps Institution of Oceanography; Estados UnidosFil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaMDPI AG2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181256Gossn, Juan Ignacio; Frouin, Robert; Dogliotti, Ana Inés; Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique; MDPI AG; Remote Sensing; 13; 6; 3-2021; 1-262072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/13/6/1050info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13061050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:29Zoai:ri.conicet.gov.ar:11336/181256instacron: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 09:50:29.559CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
title Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
spellingShingle Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
Gossn, Juan Ignacio
ATMOSPHERIC CORRECTION
EXTREMELY TURBID WATERS
MODIS
NEAR-INFRARED
OCEAN COLOR IMAGERY
PRINCIPAL COMPONENT ANALYSIS
RÍO DE LA PLATA
SHORTWAVE INFRARED
VIIRS
VISIBLE
title_short Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
title_full Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
title_fullStr Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
title_full_unstemmed Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
title_sort Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique
dc.creator.none.fl_str_mv Gossn, Juan Ignacio
Frouin, Robert
Dogliotti, Ana Inés
author Gossn, Juan Ignacio
author_facet Gossn, Juan Ignacio
Frouin, Robert
Dogliotti, Ana Inés
author_role author
author2 Frouin, Robert
Dogliotti, Ana Inés
author2_role author
author
dc.subject.none.fl_str_mv ATMOSPHERIC CORRECTION
EXTREMELY TURBID WATERS
MODIS
NEAR-INFRARED
OCEAN COLOR IMAGERY
PRINCIPAL COMPONENT ANALYSIS
RÍO DE LA PLATA
SHORTWAVE INFRARED
VIIRS
VISIBLE
topic ATMOSPHERIC CORRECTION
EXTREMELY TURBID WATERS
MODIS
NEAR-INFRARED
OCEAN COLOR IMAGERY
PRINCIPAL COMPONENT ANALYSIS
RÍO DE LA PLATA
SHORTWAVE INFRARED
VIIRS
VISIBLE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Estimating water reflectance accurately from satellite optical data requires implementing an accurate atmospheric correction (AC) scheme, a particularly challenging task over optically complex water bodies, where the signal that comes from the water prevents using the near-infrared (NIR) bands to separate the perturbing atmospheric signal. In the present work, we propose a new AC scheme specially designed for the Río de la Plata—a funnel-shaped estuary in the Argentine– Uruguayan border—highly scattering turbid waters. This new AC scheme uses far shortwave infrared (SWIR) bands but unlike previous algorithms relates the atmospheric signal in the SWIR to the signal in the near-infrared (NIR) and visible (VIS) bands based on the decomposition into principal components of the atmospheric signal. We describe the theoretical basis of the algorithm, analyze the spectral features of the simulated principal components, theoretically address the impact of noise on the results, and perform match-ups exercises using in situ measurements and Moderate Resolution Imaging Spectrometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) imagery over the region. Plausible water reflectance retrievals were obtained in the NIR and VIS bands from both simulations and match-ups using field data—with better performance (i.e., lowest errors and offsets, and slopes closest to 1) compared to existing AC schemes implemented in the NASA Data Analysis Software (SeaDAS). Moreover, retrievals over images in the VIS and NIR bands showed low noise, and the correlation was low between aerosol and water reflectance spatial fields.
Fil: Gossn, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Frouin, Robert. University of California at San Diego. Scripps Institution of Oceanography; Estados Unidos
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
description Estimating water reflectance accurately from satellite optical data requires implementing an accurate atmospheric correction (AC) scheme, a particularly challenging task over optically complex water bodies, where the signal that comes from the water prevents using the near-infrared (NIR) bands to separate the perturbing atmospheric signal. In the present work, we propose a new AC scheme specially designed for the Río de la Plata—a funnel-shaped estuary in the Argentine– Uruguayan border—highly scattering turbid waters. This new AC scheme uses far shortwave infrared (SWIR) bands but unlike previous algorithms relates the atmospheric signal in the SWIR to the signal in the near-infrared (NIR) and visible (VIS) bands based on the decomposition into principal components of the atmospheric signal. We describe the theoretical basis of the algorithm, analyze the spectral features of the simulated principal components, theoretically address the impact of noise on the results, and perform match-ups exercises using in situ measurements and Moderate Resolution Imaging Spectrometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) imagery over the region. Plausible water reflectance retrievals were obtained in the NIR and VIS bands from both simulations and match-ups using field data—with better performance (i.e., lowest errors and offsets, and slopes closest to 1) compared to existing AC schemes implemented in the NASA Data Analysis Software (SeaDAS). Moreover, retrievals over images in the VIS and NIR bands showed low noise, and the correlation was low between aerosol and water reflectance spatial fields.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
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/11336/181256
Gossn, Juan Ignacio; Frouin, Robert; Dogliotti, Ana Inés; Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique; MDPI AG; Remote Sensing; 13; 6; 3-2021; 1-26
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181256
identifier_str_mv Gossn, Juan Ignacio; Frouin, Robert; Dogliotti, Ana Inés; Atmospheric correction of satellite optical imagery over the río de la plata highly turbid waters using a SWIR-based principal component decomposition technique; MDPI AG; Remote Sensing; 13; 6; 3-2021; 1-26
2072-4292
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.mdpi.com/2072-4292/13/6/1050
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13061050
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
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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