@InProceedings{RudorffKaVaOlCoZoFr:2015:VaEsCo,
author = "Rudorff, Nat{\'a}lia de Moraes and Kampel, Milton and
Val{\'e}rio, Larissa Patricio and Oliveira, Marcelo Franco de and
Cortivo, Fabio Dall and Zoffoli, Maria Laura and Freitas, Leandro
Rodrigues de",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Variabilidade espacial dos constituintes bio-{\'o}pticos e
compara{\c{c}}{\~a}o de produtos de cor do oceano in situ e
MODIS-Aqua na plataforma e talude do Esp{\'{\i}}rito Santo
(ES)",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "925--932",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The present work presents a characterization of the distribution
of the bio-optical properties and a comparison of in situ and
satellite data for the offshore and shelf waters of
Esp{\'{\i}}rito Santo, Southeast Brazilian coast. The goal was
to identify some of the processes governing the distribution of
the optically active constituents and potential areas that may
constrain the application of Case 1 ocean color products.
Different models were compared to indicate a least biased one for
the study region. The in situ data was obtained from a series of
oceanographic cruises coordinated by CENPES-PETROBRAS, during the
austral winter of 2013 (AMBES project). Satellite data was
obtained from MODIS-Aqua daily products. The OC3M empirical model
showed a greater dispersion (0,69 R2) than the semi-analytical
models GIOP and GSM (R2 0,69 and 0.72), but with lower percent
difference (44%, compared to 45 and 53%, respectively). The QAA
had a lower overall performance, but still close to the other
models (0,51 R2 and 55% bias). Errors were explained by both
uncertainties in satellite and in situ data and bio-optical
variability of the region. To improve the retrieval of ocean color
products a regionally adjusted GIOP model is likely the most
adequate approach for the region, especially with influence of the
Doce and Vit{\'o}ria river plumes, and bottom resuspension in
windy events.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "175",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM47HS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM47HS",
targetfile = "p0175.pdf",
type = "Sistemas marinhos costeiros",
urlaccessdate = "28 abr. 2024"
}