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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/17060
Ver los metadatos del registro completo
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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 |
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1844614254196424704 |
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13.070432 |