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dc.contributor.author
Ferreira, Amabile  
dc.contributor.author
Garcia, Carlos A. E.  
dc.contributor.author
Dogliotti, Ana Inés  
dc.contributor.author
Garcia, Virginia M. T  
dc.date.available
2017-05-29T15:23:27Z  
dc.date.issued
2013-05-20  
dc.identifier.citation
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  
dc.identifier.issn
0034-4257  
dc.identifier.uri
http://hdl.handle.net/11336/17060  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Phytoplankton  
dc.subject
Absorption  
dc.subject
Scattering  
dc.subject
Remote Sensing Reflectance  
dc.subject
Patagonia  
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Bio-optical characteristics of the Patagonia shelf break waters: Implications for ocean color algorithms  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-05-23T19:16:05Z  
dc.journal.volume
136  
dc.journal.pagination
416-432  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Ferreira, Amabile. Universidade Federal Do Rio Grande Do Sul; Brasil  
dc.description.fil
Fil: Garcia, Carlos A. E.. Universidade Federal Do Rio Grande Do Sul; Brasil  
dc.description.fil
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  
dc.description.fil
Fil: Garcia, Virginia M. T. Universidade Federal Do Rio Grande Do Sul; Brasil  
dc.journal.title
Remote Sensing Of Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.rse.2013.05.022  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0034425713001764