@Article{OliveiraFKCBVGPFP:2016:AsReSe,
author = "Oliveira, Eduardo N. and Fernandes, Alexandre M. and Kampel,
Milton and Cordeiro, Renato C. and Brandini, Nilva and Vinzon,
Susana B. and Grassi, Renata M. and Pinto, Fernando N. and
Fillipo, Alessandro M. and Paranhos, Rodolfo",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade
Federal do Rio de Janeiro (UFRJ)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal Fluminense
(UFF)} and {Universidade Federal Fluminense (UFF)} and {} and
{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade
Federal do Rio de Janeiro (UFRJ)} and {Universidade Federal do Rio
de Janeiro (UFRJ)} and {Universidade Federal do Rio de Janeiro
(UFRJ)}",
title = "Assessment of remotely sensed chlorophyll-a concentration in
Guanabara Bay, Brazil",
journal = "Journal of Applied Remote Sensing",
year = "2016",
volume = "10",
number = "2",
pages = "026003",
month = "Apr.",
keywords = "chlorophyll-a concentration, Guanabara Bay, Medium Resolution
Imaging Spectrometer, Ocean color empirical algorithm, Optical
properties.",
abstract = "The Guanabara Bay (GB) is an estuarine system in the metropolitan
region of Rio de Janeiro (Brazil), with a surface area of
\∼346 km2 threatened by anthropogenic pressure. Remote
sensing can provide frequent data for studies and monitoring of
water quality parameters, such as chlorophyll-a concentration
(Chl-a). Different combination of Medium Resolution Imaging
Spectrometer (MERIS) remote sensing reflectance band ratios were
used to estimate Chl-a. Standard algorithms such as Ocean Color
3-band, Ocean Color-4 band, fluorescence line height, and maximum
chlorophyll index were also tested. The MERIS Chl-a estimates were
statistically compared with a dataset of in situ Chl-a (2002 to
2012). Good correlations were obtained with the use of green, red,
and near-infrared bands. The best performing algorithm was based
on the red (665 nm) and green (560 nm) band ratio, named {"}RG3{"}
algorithm (r2 = 0.71, chl-a = 62,565\∗x1.6118). The RG3 was
applied to a time series of MERIS images (2003- to 2012). The GB
has a high temporal and spatial variability of Chl-a, with highest
values found in the wet season (October to March) and in some of
the most internal regions of the estuary. Lowest concentrations
are found in the central circulation channel due to the flushing
of ocean water masses promoted by pumping tide.",
doi = "10.1117/1.JRS.10.026003",
url = "http://dx.doi.org/10.1117/1.JRS.10.026003",
issn = "1931-3195",
language = "en",
targetfile = "oliveira_assessment.pdf",
urlaccessdate = "27 abr. 2024"
}