Publicações

@article{Alcântara2017a,
title = {Modeling the spatio-temporal dissolved organic carbon concentration in Barra Bonita reservoir using OLI/Landsat-8 images},
author = {Enner Herenio de Alcântara and Nariane Marselhe Ribeiro Bernardo and Thanan Walesza Pequeno Rodrigues and Fernanda Sayuri Yoshino Watanabe},
doi = {10.1007/s40808-017-0275-2},
issn = {2363-6211},
year = {2017},
date = {2017-01-31},
journal = {Modeling Earth Systems and Environment},
volume = {3},
number = {1},
pages = {11},
abstract = {Through exchange of heat between the water and the atmosphere inland waters affect climate at the regional scale and play an important role in the global carbon cycle. Therefore, there is a need to develop methods and models for mapping inland water carbon content to understand the role of lakes in the global carbon cycle. The colored dissolved organic matter (CDOM) has a strong correlation with dissolved organic carbon (DOC) and can be studied using remote sensed images. In this work, we developed an empirical model to estimate the DOC concentration by using the absorption coefficient of CDOM (a CDOM). The a CDOM was estimated through band ratio index and validated with in situ data. The empirically adjusted model to estimate the DOC was applied to a series of OLI/Landsat-8 images. The results showed a good relationship between the a CDOM at 412 nm (a CDOM412) and the ratio between OLI band 1 and OLI band 3, but the validation results showed a normalized root mean square error (NRMSE) of about 37.89%. The a CDOM412 obtained in laboratory was used to establish a relationship between a CDOM412 and DOC. The DOC spatial distribution was then obtained and the concentration varied from 22 to 52 mg.l-1 during the year of 2014.},
keywords = {Barra Bonita, dissolved organic carbon, landsat, reservoir, spatio-temporal},
pubstate = {published},
tppubtype = {article}
}

@article{Watanabe2016,
title = {Drought can cause phytoplankton growth intensification in Barra Bonita reservoir},
author = {Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Nariane Marselhe Ribeiro Bernardo and Enner Herenio de Alcântara and Nilton Nobuhiro Imai},
doi = {10.1007/s40808-016-0193-8},
issn = {2363-6211},
year = {2016},
date = {2016-07-20},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {3},
pages = {134},
abstract = {In this research, we investigated the possible consequences of the 2012--2014 drought in Southeastern Brazil on growing phytoplankton in a eutrophic reservoir. Weather has direct influence to phytoplankton communities and, consequently, underwater light climate which drives important processes in aquatic systems. Absorption coefficient of phytoplankton pigment (a ϕ) and chlorophyll-a (Chl-a) concentration were determined in laboratory in order to analyze the interference of phytoplankton biomass over light. In addition, a historical monthly rainfall series in the reservoir was analyzed. Results showed clearly the strong drought effect over the monthly useful volume and flow rate. Both of them play important roles to water column mixing and retention time which increase the nutrients availability in the system and phytoplankton biomass. Chl-a concentration and a phy values were extremely high [maximum Chl-a of 797.8 mg m-3 and a ϕ(440) of almost 6 m-1 in October]. So, more attention should be paid to water quality in long episodes of drought as occurred from 2012 to 2014.},
keywords = {Barra Bonita, Drought, grouwth, phytoplankton, reservoir},
pubstate = {published},
tppubtype = {article}
}

@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{BERNARDO201668,
title = {Evaluation of the suitability of MODIS, OLCI and OLI for mapping the distribution of total suspended matter in the Barra Bonita Reservoir (Tietê River, Brazil)},
author = {Nariane Marselhe Ribeiro Bernardo and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara},
doi = {10.1016/j.rsase.2016.06.002},
issn = {2352-9385},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Applications: Society and Environment},
volume = {4},
pages = {68--82},
abstract = {The objective of this work was to evaluate the suitability of three remote sensors, namely, the Moderate Resolution Imaging Spectroradiometer (MODIS), the Operational Land Imager (OLI), and the Ocean Land Color Instrument (OLCI), for estimating total suspended matter (TSM) concentrations in the Barra Bonita reservoir. Although remote sensors have been widely explored for ocean and inland water applications in Brazilian reservoirs, a thorough comparison of sensors as a TSM monitoring tool has yet to be conducted. OLI data have been used for inland waters, but few studies on Brazilian aquatic systems have been performed. MODIS data were investigated due to their daily coverage, and OLCI data (scheduled for launch in December 2015) were analyzed because of their spatial (better than MODIS) and temporal (lower than OLI) resolution. In situ hyperspectral measurements were used as input to simulate MODIS, OLI and OLCI spectral bands while considering the spectral response function for each sensor. Simulated data and TSM concentrations were tuned to generate regional models using linear and non-linear regressions. The models were assessed using the coefficient of determination (R2), which had a range of between 0 keywords = {Barra Bonita, landsat, MODIS, OLCI, OLI, reservoir, sentinel, Tietê, total suspended matter, TSM},
pubstate = {published},
tppubtype = {article}
}

@article{doi:10.1080/2150704X.2016.1145361,
title = {Field measurements of the backscattering coefficient in a cascading reservoir system: first results from Nova Avanhandava and Barra Bonita Reservoirs (São Paulo, Brazil)},
author = {Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Nariane Marselhe Ribeiro Bernardo and Luiz Henrique da Silva Rotta and Alisson Fernando Coelho do Carmo and Marcelo Curtarelli and Nilton Nobuhiro Imai},
doi = {10.1080/2150704X.2016.1145361},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Letters},
volume = {7},
number = {5},
pages = {417--426},
abstract = {ABSTRACTIn this study, a data set of total suspended matter (TSM), chlorophyll-a (Chl-a), total backscattering coefficient (bb) and the remote sensing reflectance (Rrs) were measured in the euphotic zone of two hydroelectric reservoirs at 71 stations during field surveys in the wet and dry seasons. These two reservoirs are located in a cascading system in Tietê River, São Paulo State, Brazil. The limnological and optical data were interpolated using the ordinary kriging technique to map their spatial distribution. The differences in TSM, Chl-a and in bb in space and time were investigated. The profiling data from bb were analysed. All these data were used to explain the resulting Rrs spectra in these two reservoirs. For both reservoirs, the inorganic fraction of TSM was responsible for the bb variability and therefore modulates the Rrs spectra. The seasonally difference in the optical data will help to understand how the inherent optical properties and the apparent optical properties changes in a cascading reservoir system.},
keywords = {backscattering, Barra Bonita, cascading, coefficient, field, nova avanhadava, São Paulo},
pubstate = {published},
tppubtype = {article}
}

@article{bernardo2015bio,
title = {Bio-optical model tuning for retrieving the total suspended matter concentration in Barra Bonita Reservoir},
author = {Nariane Marselhe Ribeiro Bernardo and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Nilton Nobuhiro Imai and Marcelo Curtarelli and Claudio Barbosa},
year = {2015},
date = {2015-01-01},
journal = {Revista Brasileira de Cartografia},
volume = {67},
number = {7},
keywords = {algorithm, Barra Bonita, bio-optical, concentration, models, total suspended matter, TSM},
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}
}