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

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), phytopl...

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Autores principales: Ferreira, A., Garcia, C.A.E., Dogliotti, A.I., Garcia, V.M.T.
Formato: JOUR
Materias:
Absorption
Patagonia
Phytoplankton
Remote sensing reflectance
Scattering
Bio-optical characteristics
Chlorophyll-a concentration
Hierarchical cluster analysis
Hyperspectral remote sensing
Phytoplankton absorptions
Remote-sensing reflectance
Semi-analytical algorithms
Blooms (metal)
Cluster analysis
Errors
Estimation
Hierarchical systems
Reflection
Remote sensing
Satellites
Algorithms
absorption
algal bloom
algorithm
chlorophyll a
color
concentration (composition)
optical property
reflectance
remote sensing
satellite imagery
scattering
shelf break
spectral analysis
Atlantic Ocean
Patagonian Shelf
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00344257_v136_n_p416_Ferreira
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_00344257_v136_n_p416_Ferreira
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spelling todo:paper_00344257_v136_n_p416_Ferreira2023-10-03T14:45:50Z Bio-optical characteristics of the Patagonia Shelf break waters: Implications for ocean color algorithms Ferreira, A. Garcia, C.A.E. Dogliotti, A.I. Garcia, V.M.T. Absorption Patagonia Phytoplankton Remote sensing reflectance Scattering Bio-optical characteristics Chlorophyll-a concentration Hierarchical cluster analysis Hyperspectral remote sensing Patagonia Phytoplankton absorptions Remote-sensing reflectance Semi-analytical algorithms Absorption Blooms (metal) Cluster analysis Errors Estimation Hierarchical systems Phytoplankton Reflection Remote sensing Satellites Scattering Algorithms absorption algal bloom algorithm chlorophyll a color concentration (composition) optical property reflectance remote sensing satellite imagery scattering shelf break spectral analysis Atlantic Ocean Patagonian Shelf 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 18.87mgm-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 8.40mgm-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 semi-analytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region. © 2013 Elsevier Inc. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00344257_v136_n_p416_Ferreira
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Absorption
Patagonia
Phytoplankton
Remote sensing reflectance
Scattering
Bio-optical characteristics
Chlorophyll-a concentration
Hierarchical cluster analysis
Hyperspectral remote sensing
Patagonia
Phytoplankton absorptions
Remote-sensing reflectance
Semi-analytical algorithms
Absorption
Blooms (metal)
Cluster analysis
Errors
Estimation
Hierarchical systems
Phytoplankton
Reflection
Remote sensing
Satellites
Scattering
Algorithms
absorption
algal bloom
algorithm
chlorophyll a
color
concentration (composition)
optical property
reflectance
remote sensing
satellite imagery
scattering
shelf break
spectral analysis
Atlantic Ocean
Patagonian Shelf
spellingShingle Absorption
Patagonia
Phytoplankton
Remote sensing reflectance
Scattering
Bio-optical characteristics
Chlorophyll-a concentration
Hierarchical cluster analysis
Hyperspectral remote sensing
Patagonia
Phytoplankton absorptions
Remote-sensing reflectance
Semi-analytical algorithms
Absorption
Blooms (metal)
Cluster analysis
Errors
Estimation
Hierarchical systems
Phytoplankton
Reflection
Remote sensing
Satellites
Scattering
Algorithms
absorption
algal bloom
algorithm
chlorophyll a
color
concentration (composition)
optical property
reflectance
remote sensing
satellite imagery
scattering
shelf break
spectral analysis
Atlantic Ocean
Patagonian Shelf
Ferreira, A.
Garcia, C.A.E.
Dogliotti, A.I.
Garcia, V.M.T.
Bio-optical characteristics of the Patagonia Shelf break waters: Implications for ocean color algorithms
topic_facet Absorption
Patagonia
Phytoplankton
Remote sensing reflectance
Scattering
Bio-optical characteristics
Chlorophyll-a concentration
Hierarchical cluster analysis
Hyperspectral remote sensing
Patagonia
Phytoplankton absorptions
Remote-sensing reflectance
Semi-analytical algorithms
Absorption
Blooms (metal)
Cluster analysis
Errors
Estimation
Hierarchical systems
Phytoplankton
Reflection
Remote sensing
Satellites
Scattering
Algorithms
absorption
algal bloom
algorithm
chlorophyll a
color
concentration (composition)
optical property
reflectance
remote sensing
satellite imagery
scattering
shelf break
spectral analysis
Atlantic Ocean
Patagonian Shelf
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 18.87mgm-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 8.40mgm-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 semi-analytical algorithms to improve satellite estimates of the bio-optical variables for the Patagonia region. © 2013 Elsevier Inc.
format JOUR
author Ferreira, A.
Garcia, C.A.E.
Dogliotti, A.I.
Garcia, V.M.T.
author_facet Ferreira, A.
Garcia, C.A.E.
Dogliotti, A.I.
Garcia, V.M.T.
author_sort Ferreira, A.
title Bio-optical characteristics of the Patagonia Shelf break waters: Implications for ocean color algorithms
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
url http://hdl.handle.net/20.500.12110/paper_00344257_v136_n_p416_Ferreira
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AT garciacae bioopticalcharacteristicsofthepatagoniashelfbreakwatersimplicationsforoceancoloralgorithms
AT dogliottiai bioopticalcharacteristicsofthepatagoniashelfbreakwatersimplicationsforoceancoloralgorithms
AT garciavmt bioopticalcharacteristicsofthepatagoniashelfbreakwatersimplicationsforoceancoloralgorithms
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