Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms

Autores
Ferreira, Amabile; Garcia, Carlos A. E.; Dogliotti, Ana Inés; Garcia, Virginia M. T
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Bio-optical data for spring and summer phytoplankton blooms at 176 stations along the Patagonia Shelf break and adjacent areas were collected from October 2006 to January 2009 during six cruises. Data included chlorophyll-a concentration (Chla), coefficients of particulate absorption, ap(λ), phytoplankton absorption, aph(λ), beam attenuation, cp(660), diffuse attenuation, Kd(λ), and hyperspectral remote sensing reflectance, Rrs(λ). Surface Chla varied within a wide range from 0.10 to 18.87 mg m−3 (mean of 2.82 ± 3.35), reflecting differences in both the timing of the blooms and the geographical sampling area. Considerable dispersion was verified for ap(λ), cp(660), and Kbio(440) (Kd(440) minus diffuse attenuation for pure water) as a function of Chla. A hierarchical cluster analysis (HCA) applied to the Rrs(λ) spectra (N = 116) resulted in three classes ordered by spectral features that varied according to Chla. Class 1 (N = 22), Class 2 (N = 52), and Class 3
(N = 42) were grouped according to the Rrs(λ) associated with Chla average of 0.86 (±0.51), 2.42 (±1.62), and 8.40 mg m−3 (±3.96), respectively. The estimation of Chla and aph(λ) by empirical and semi-analytical algorithms was evaluated using satellite data. Errors in the Chla estimates from the empirical algorithm OC4v6 using in situ Rrs(λ) showed significant statistical relationships with Chla, aph(440) / Chla, and bp(660) / Chla
(where bp(660) = cp(660) − ap(660)). Although reasonable agreements were found between the measured and satellite-estimated values, the dependence of the OC4v6 errors on the Chla-specific phytoplankton absorption and particulate scattering coefficients reinforces the need to regionally refine both empirical and semianalytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region.
Fil: Ferreira, Amabile. Universidade Federal Do Rio Grande Do Sul; Brasil
Fil: Garcia, Carlos A. E.. Universidade Federal Do Rio Grande Do Sul; Brasil
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes 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: Garcia, Virginia M. T. Universidade Federal Do Rio Grande Do Sul; Brasil
Materia
Phytoplankton
Absorption
Scattering
Remote Sensing Reflectance
Patagonia
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:11336/17060

id CONICETDig_19b6fa1a86c8b45b366db738af6daa7c
oai_identifier_str oai:ri.conicet.gov.ar:11336/17060
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithmsFerreira, AmabileGarcia, Carlos A. E.Dogliotti, Ana InésGarcia, Virginia M. TPhytoplanktonAbsorptionScatteringRemote Sensing ReflectancePatagoniahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Bio-optical data for spring and summer phytoplankton blooms at 176 stations along the Patagonia Shelf break and adjacent areas were collected from October 2006 to January 2009 during six cruises. Data included chlorophyll-a concentration (Chla), coefficients of particulate absorption, ap(λ), phytoplankton absorption, aph(λ), beam attenuation, cp(660), diffuse attenuation, Kd(λ), and hyperspectral remote sensing reflectance, Rrs(λ). Surface Chla varied within a wide range from 0.10 to 18.87 mg m−3 (mean of 2.82 ± 3.35), reflecting differences in both the timing of the blooms and the geographical sampling area. Considerable dispersion was verified for ap(λ), cp(660), and Kbio(440) (Kd(440) minus diffuse attenuation for pure water) as a function of Chla. A hierarchical cluster analysis (HCA) applied to the Rrs(λ) spectra (N = 116) resulted in three classes ordered by spectral features that varied according to Chla. Class 1 (N = 22), Class 2 (N = 52), and Class 3<br />(N = 42) were grouped according to the Rrs(λ) associated with Chla average of 0.86 (±0.51), 2.42 (±1.62), and 8.40 mg m−3 (±3.96), respectively. The estimation of Chla and aph(λ) by empirical and semi-analytical algorithms was evaluated using satellite data. Errors in the Chla estimates from the empirical algorithm OC4v6 using in situ Rrs(λ) showed significant statistical relationships with Chla, aph(440) / Chla, and bp(660) / Chla<br />(where bp(660) = cp(660) − ap(660)). Although reasonable agreements were found between the measured and satellite-estimated values, the dependence of the OC4v6 errors on the Chla-specific phytoplankton absorption and particulate scattering coefficients reinforces the need to regionally refine both empirical and semianalytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region.Fil: Ferreira, Amabile. Universidade Federal Do Rio Grande Do Sul; BrasilFil: Garcia, Carlos A. E.. Universidade Federal Do Rio Grande Do Sul; BrasilFil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes 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: Garcia, Virginia M. T. Universidade Federal Do Rio Grande Do Sul; BrasilElsevier Science Inc2013-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17060Ferreira, Amabile; Garcia, Carlos A. E.; Dogliotti, Ana Inés; Garcia, Virginia M. T; Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms; Elsevier Science Inc; Remote Sensing Of Environment; 136; 20-5-2013; 416-4320034-4257enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2013.05.022info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0034425713001764info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:25:33Zoai:ri.conicet.gov.ar:11336/17060instacron: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 10:25:33.977CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
title Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
spellingShingle Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
Ferreira, Amabile
Phytoplankton
Absorption
Scattering
Remote Sensing Reflectance
Patagonia
title_short Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
title_full Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
title_fullStr Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
title_full_unstemmed Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
title_sort Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms
dc.creator.none.fl_str_mv Ferreira, Amabile
Garcia, Carlos A. E.
Dogliotti, Ana Inés
Garcia, Virginia M. T
author Ferreira, Amabile
author_facet Ferreira, Amabile
Garcia, Carlos A. E.
Dogliotti, Ana Inés
Garcia, Virginia M. T
author_role author
author2 Garcia, Carlos A. E.
Dogliotti, Ana Inés
Garcia, Virginia M. T
author2_role author
author
author
dc.subject.none.fl_str_mv Phytoplankton
Absorption
Scattering
Remote Sensing Reflectance
Patagonia
topic Phytoplankton
Absorption
Scattering
Remote Sensing Reflectance
Patagonia
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Bio-optical data for spring and summer phytoplankton blooms at 176 stations along the Patagonia Shelf break and adjacent areas were collected from October 2006 to January 2009 during six cruises. Data included chlorophyll-a concentration (Chla), coefficients of particulate absorption, ap(λ), phytoplankton absorption, aph(λ), beam attenuation, cp(660), diffuse attenuation, Kd(λ), and hyperspectral remote sensing reflectance, Rrs(λ). Surface Chla varied within a wide range from 0.10 to 18.87 mg m−3 (mean of 2.82 ± 3.35), reflecting differences in both the timing of the blooms and the geographical sampling area. Considerable dispersion was verified for ap(λ), cp(660), and Kbio(440) (Kd(440) minus diffuse attenuation for pure water) as a function of Chla. A hierarchical cluster analysis (HCA) applied to the Rrs(λ) spectra (N = 116) resulted in three classes ordered by spectral features that varied according to Chla. Class 1 (N = 22), Class 2 (N = 52), and Class 3<br />(N = 42) were grouped according to the Rrs(λ) associated with Chla average of 0.86 (±0.51), 2.42 (±1.62), and 8.40 mg m−3 (±3.96), respectively. The estimation of Chla and aph(λ) by empirical and semi-analytical algorithms was evaluated using satellite data. Errors in the Chla estimates from the empirical algorithm OC4v6 using in situ Rrs(λ) showed significant statistical relationships with Chla, aph(440) / Chla, and bp(660) / Chla<br />(where bp(660) = cp(660) − ap(660)). Although reasonable agreements were found between the measured and satellite-estimated values, the dependence of the OC4v6 errors on the Chla-specific phytoplankton absorption and particulate scattering coefficients reinforces the need to regionally refine both empirical and semianalytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region.
Fil: Ferreira, Amabile. Universidade Federal Do Rio Grande Do Sul; Brasil
Fil: Garcia, Carlos A. E.. Universidade Federal Do Rio Grande Do Sul; Brasil
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes 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: Garcia, Virginia M. T. Universidade Federal Do Rio Grande Do Sul; Brasil
description Bio-optical data for spring and summer phytoplankton blooms at 176 stations along the Patagonia Shelf break and adjacent areas were collected from October 2006 to January 2009 during six cruises. Data included chlorophyll-a concentration (Chla), coefficients of particulate absorption, ap(λ), phytoplankton absorption, aph(λ), beam attenuation, cp(660), diffuse attenuation, Kd(λ), and hyperspectral remote sensing reflectance, Rrs(λ). Surface Chla varied within a wide range from 0.10 to 18.87 mg m−3 (mean of 2.82 ± 3.35), reflecting differences in both the timing of the blooms and the geographical sampling area. Considerable dispersion was verified for ap(λ), cp(660), and Kbio(440) (Kd(440) minus diffuse attenuation for pure water) as a function of Chla. A hierarchical cluster analysis (HCA) applied to the Rrs(λ) spectra (N = 116) resulted in three classes ordered by spectral features that varied according to Chla. Class 1 (N = 22), Class 2 (N = 52), and Class 3<br />(N = 42) were grouped according to the Rrs(λ) associated with Chla average of 0.86 (±0.51), 2.42 (±1.62), and 8.40 mg m−3 (±3.96), respectively. The estimation of Chla and aph(λ) by empirical and semi-analytical algorithms was evaluated using satellite data. Errors in the Chla estimates from the empirical algorithm OC4v6 using in situ Rrs(λ) showed significant statistical relationships with Chla, aph(440) / Chla, and bp(660) / Chla<br />(where bp(660) = cp(660) − ap(660)). Although reasonable agreements were found between the measured and satellite-estimated values, the dependence of the OC4v6 errors on the Chla-specific phytoplankton absorption and particulate scattering coefficients reinforces the need to regionally refine both empirical and semianalytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region.
publishDate 2013
dc.date.none.fl_str_mv 2013-05-20
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/11336/17060
Ferreira, Amabile; Garcia, Carlos A. E.; Dogliotti, Ana Inés; Garcia, Virginia M. T; Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms; Elsevier Science Inc; Remote Sensing Of Environment; 136; 20-5-2013; 416-432
0034-4257
url http://hdl.handle.net/11336/17060
identifier_str_mv Ferreira, Amabile; Garcia, Carlos A. E.; Dogliotti, Ana Inés; Garcia, Virginia M. T; Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms; Elsevier Science Inc; Remote Sensing Of Environment; 136; 20-5-2013; 416-432
0034-4257
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2013.05.022
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0034425713001764
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.publisher.none.fl_str_mv Elsevier Science Inc
publisher.none.fl_str_mv Elsevier Science Inc
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
_version_ 1844614254196424704
score 13.070432