Remote Sensing Applications and Decision Support

Assessment of remotely sensed chlorophyll-a concentration in Guanabara Bay, Brazil

[+] Author Affiliations
Eduardo N. Oliveira, Alexandre M. Fernandes, Renata M. Grassi, Alessandro M. Fillipo

Rio de Janeiro State University, Oceanographic College, Physical Oceanography Department, Street São Francisco Xavier 524, Rio de Janeiro-RJ, Brazil

Milton Kampel

National Institute for Space Research, Remote Sensing Division, Avenue dos Astronautas, 1758, São José dos Campos-SP, Brazil

Renato C. Cordeiro, Nilva Brandini

Federal Fluminense University, Institute of Chemistry, Street Outeiro de São João Batista s/n°, Niterói-RJ, Brazil

Susana B. Vinzon

Rio de Janeiro Federal University, Program of Ocean Engineering, Technology Center, Block C—203, Rio de Janeiro-RJ, Brazil

Fernando N. Pinto, Rodolfo Paranhos

Rio de Janeiro Federal University, Institute of Biology, Avenue Prof. Rodolpho Rocco 211, Block A, sl. A1-071, Rio de Janeiro-RJ, Brazil

J. Appl. Remote Sens. 10(2), 026003 (Apr 07, 2016). doi:10.1117/1.JRS.10.026003
History: Received December 4, 2015; Accepted March 10, 2016
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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 situChl-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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Eduardo N. Oliveira ; Alexandre M. Fernandes ; Milton Kampel ; Renato C. Cordeiro ; Nilva Brandini, et al.
"Assessment of remotely sensed chlorophyll-a concentration in Guanabara Bay, Brazil", J. Appl. Remote Sens. 10(2), 026003 (Apr 07, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026003


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