Publicações

@article{doi:10.1080/2150704X.2016.1185189,
title = {An investigation into the phytoplankton package effect on the chlorophyll-a specific absorption coefficient in Barra Bonita reservoir, Brazil},
author = {Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Nariane Marselhe Ribeiro Bernardo},
doi = {10.1080/2150704X.2016.1185189},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Letters},
volume = {7},
number = {8},
pages = {761--770},
abstract = {ABSTRACTIn this article, a possible phytoplankton package effect on the chlorophyll-a specific absorption coefficient (a*phy) is investigated. Two fieldworks were conducted in May and October 2014 in Barra Bonita (BB) reservoir. During the fieldworks, radiometric and water samples were obtained. From the radiometric data, the remote sensing reflectance (Rrs) were calculated and from the water samples the chlorophyll-a (chl-a) concentration, the phytoplankton absorption coefficient (aphy) and a*phy coefficient were obtained. The results show that for the first fieldwork (in May), the package effect was less perceived than in the second fieldwork (in October). In May, the package effect was more pronounced for the highest chl-a concentration (>200 mg m-3) and for October all samples ranging from 263.20 to 797.80 mg m-3 were effected. Due to this effect, the bio-optical model development in order to estimate the chl-a concentration in a eutrophic environment such as the BB reservoir will face higher errors when the chl-a concentration were higher than 300 mg m-3.},
keywords = {absorption, Barra Bonita, clorophyl, package, phytoplankton, reservoir},
pubstate = {published},
tppubtype = {article}
}

@article{rodrigues2016comparaccao,
title = {COMPARAÇÃO ENTRE MÉTODOS EMPÍRICOS PARA ESTIMATIVA DA CONCENTRAÇÃO DE CLOROFILA-A EM RESERVATÓRIOS EM CASCATA (RIO TIETÊ, SÃO PAULO)},
author = {Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Luiz Henrique da Silva Rotta and Nilton Nobuhiro Imai and Marcelo Pedroso Curtarelli and Cláudio Clemente Faria Barbosa},
year = {2016},
date = {2016-01-01},
journal = {Revista Brasileira de Cartografia},
volume = {68},
number = {1},
keywords = {cascading, clorophyl, concentration, empíricos, reservoir, São Paulo, Tietê},
pubstate = {published},
tppubtype = {article}
}

@article{dos2016influencia,
title = {INFLUÊNCIA DO DELINEAMENTO AMOSTRAL NA INFERÊNCIA ESPACIAL POR GEOESTATÍSTICA APLICADA A DADOS DE CLOROFILA-A ADQUIRIDOS EM TRANSECTOS},
author = {Gabrielle Gomes dos Santos Ribeiro and Vilma Mayumi Tachibana and Maria de Lourdes Bueno Trindade Galo},
year = {2016},
date = {2016-01-01},
journal = {Revista Brasileira de Cartografia},
volume = {68},
number = {4},
keywords = {clorophyl, delineamento amostral, geoestatística, inferência espacial},
pubstate = {published},
tppubtype = {article}
}

@article{ijerph120910391,
title = {Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI/Landsat-8 Images},
author = {Fernanda Sayuri Yoshino Watanabe and Enner Herenio de Alcântara and Thanan Walesza Pequeno Rodrigues and Nilton Nobuhiro Imai and Cláudio Clemente Faria Barbosa and Luiz Henrique da Silva Rotta},
doi = {10.3390/ijerph120910391},
issn = {1660-4601},
year = {2015},
date = {2015-01-01},
journal = {International Journal of Environmental Research and Public Health},
volume = {12},
number = {9},
pages = {10391--10417},
abstract = {Reservoirs are artificial environments built by humans, and the impacts of these environments are not completely known. Retention time and high nutrient availability in the water increases the eutrophic level. Eutrophication is directly correlated to primary productivity by phytoplankton. These organisms have an important role in the environment. However, high concentrations of determined species can lead to public health problems. Species of cyanobacteria produce toxins that in determined concentrations can cause serious diseases in the liver and nervous system, which could lead to death. Phytoplankton has photoactive pigments that can be used to identify these toxins. Thus, remote sensing data is a viable alternative for mapping these pigments, and consequently, the trophic. Chlorophyll-a (Chl-a) is present in all phytoplankton species. Therefore, the aim of this work was to evaluate the performance of images of the sensor Operational Land Imager (OLI) onboard the Landsat-8 satellite in determining Chl-a concentrations and estimating the trophic level in a tropical reservoir. Empirical models were fitted using data from two field surveys conducted in May and October 2014 (Austral Autumn and Austral Spring, respectively). Models were applied in a temporal series of OLI images from May 2013 to October 2014. The estimated Chl-a concentration was used to classify the trophic level from a trophic state index that adopted the concentration of this pigment-like parameter. The models of Chl-a concentration showed reasonable results, but their performance was likely impaired by the atmospheric correction. Consequently, the trophic level classification also did not obtain better results.},
keywords = {Barra Bonita, clorophyl, concentration, imagens, landsat, OLI, trophic state},
pubstate = {published},
tppubtype = {article}
}

@article{FERREIRA2013,
title = {Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements},
author = {MONIQUE S FERREIRA and Maria de Lourdes Bueno Trindade Galo},
issn = {0001-3765},
year = {2013},
date = {2013-06-01},
journal = {Anais da Academia Brasileira de CiÃ},
volume = {85},
pages = {519--532},
publisher = {scielo},
keywords = {artificial neural network, clorophyl, imagens, measurements, multspectral, spatial},
pubstate = {published},
tppubtype = {article}
}