Publicações

@article{Alcântara2017,
title = {Regional-scale algorithm to estimate the particulate organic carbon (POC) in inland waters using Landsat-5/TM images},
author = {Enner Herenio de Alcântara},
doi = {10.1007/s40808-017-0314-z},
issn = {2363-6211},
year = {2017},
date = {2017-06-01},
journal = {Modeling Earth Systems and Environment},
volume = {3},
number = {2},
pages = {831--837},
abstract = {A regional-scale algorithm was developed in order to test if the Landsat-5/TM can be used to estimate the particulate organic carbon (POC) in oligotrophic-to-mesotrophic inland water. To develop the POC algorithm two fieldworks were conducted, the first in May and the second in September 2009. The algorithm was calibrated using the dataset from September and validated using the dataset from May. The results showed that the best calibration was obtained using a polynomial fitting function (R2 of 0.80, p<0.0001). This model was validated with a normalized root mean square error (NRMSE) of 6.21%. The algorithm was then applied in two Landsat-5/TM images from April and July 2009. The spatial distribution of POC obtained from the satellite images reveals a strong dependence of POC concentrations with the weather conditions. These results allowed us to conclude that there is a great potential to study the temporal dynamics of POC in inland waters using Landsat-5/TM images.},
keywords = {algorithm, inland water, landsat, particulate organic carbon, poc},
pubstate = {published},
tppubtype = {article}
}

@article{FERNANDES2017,
title = {FILTRAGEM DE NUVEM LASER PARA GERAÇÃO DE MDT POR KRIGAGEM},
author = {Vanessa Jordão Marcato Fernandes and Érico Fernando Oliveira de Martins and Aluir Porfírio Dal Poz and Nilton Nobuhiro Imai},
issn = {1982-2170},
year = {2017},
date = {2017-03-01},
journal = {Boletim de Ciências Geodésicas},
volume = {23},
pages = {196--212},
publisher = {scielo},
keywords = {krigagem, laser, mdt, nuvem},
pubstate = {published},
tppubtype = {article}
}

@article{Bernardo2017,
title = {Comparing proximal remote sensing and orbital images to estimate the total suspended matter in inland water},
author = {Nariane Marselhe Ribeiro Bernardo and Enner Herenio de Alcântara},
doi = {10.1007/s40808-017-0285-0},
issn = {2363-6211},
year = {2017},
date = {2017-02-23},
journal = {Modeling Earth Systems and Environment},
volume = {3},
number = {1},
pages = {19},
abstract = {The main purpose of this work was to improve the remote sensing reflectance (R rs ) applications to estimate the total suspended matter (TSM) concentrations, since several studies using R rs retrieved from atmospherically corrected images did not match with in situ radiometric measurements. The goal was achieved by comparing two R rs datasets: one from atmospherically corrected image from Operational Land Imager (OLI)/ Landsat-8 and the R rs surface created by non-deterministic statistical approach. The R rs used to create the surface was computed by using samples gathered out in situ on 13--16 October 2014, and the OLI image used was taken in the first day of fieldwork. A reference surface from in situ TSM concentrations was also created to compare the estimates from both datasets (from statistical approach and image atmospherically corrected). The TSM estimates were made using empirical model, and the results demonstrate that non-statistical methods provide lowest errors to estimate the TSM concentration if compared to atmospheric corrected images.},
keywords = {inland water, orbital images, proximal remote sensing, total suspended matter},
pubstate = {published},
tppubtype = {article}
}

@article{7792115,
title = {Mapping Mosaic Virus in Sugarcane Based on Hyperspectral Images},
author = {Érika Akemi Saito Moriya and Nilton Nobuhiro Imai and A M G Tommaselli and Gabriela Takahashi Miyoshi},
doi = {10.1109/JSTARS.2016.2635482},
issn = {1939-1404},
year = {2017},
date = {2017-02-01},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {10},
number = {2},
pages = {740--748},
abstract = {The aim of this research was to develop a methodology involving aerial surveying using an unmanned aerial system (UAS), processing and analysis of images obtained by a hyperspectral camera, achieving results that enable discrimination and recognition of sugarcane plants infected with mosaic virus. It was necessary to characterize the spectral response of healthy and infected sugarcane plants in order to define the correct mode of operation for the hyperspectral camera, which provides many spectral band options for imaging but limits each image to 25 spectral bands. Spectral measurements of the leaves of infected and healthy sugarcane with a spectroradiometer were used to produce a spectral library. Once the most appropriate spectral bands had been selected, it was possible to configure the camera and carry out aerial surveying. The empirical line approach was adopted to obtain hemispherical conical reflectance factor values with a radiometric block adjustment to produce a mosaic suitable for the analysis. A classification based on spectral information divergence was applied and the results were evaluated by Kappa statistics. Areas of sugarcane infected with mosaic were identified from these hyperspectral images acquired by UAS and the results obtained had a high degree of accuracy.},
keywords = {hyperespectral images, mosaic virus, sugarcane},
pubstate = {published},
tppubtype = {article}
}

@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{BERNARDO20172335,
title = {Atmospheric correction issues for retrieving total suspended matter concentrations in inland waters using OLI/Landsat-8 image},
author = {Nariane Marselhe Ribeiro Bernardo and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara},
doi = {10.1016/j.asr.2017.02.017},
issn = {0273-1177},
year = {2017},
date = {2017-01-01},
journal = {Advances in Space Research},
volume = {59},
number = {9},
pages = {2335--2348},
abstract = {The atmospheric effects that influence on the signal registered by remote sensors might be minimized in order to provide reliable spectral information. In aquatic systems, the application of atmospheric correction aims to minimize such effects and avoid the under or overestimation of remote sensing reflectance (Rrs). Accurately Rrs provides better information about the state of aquatic system, it means, establishing the concentration of aquatic compounds more precisely. The aim of this study is to evaluate the outputs from several atmospheric correction methods (Dark Object Subtraction -- DOS; Quick Atmospheric Correction -- QUAC; Fast Line-of-sight Atmospheric Analysis of Hypercubes -- FLAASH; Atmospheric Correction for OLI `lite' -- ACOLITE, and Provisional Landsat-8 Surface Reflectance Algorithm -- L8SR) in order to investigate the suitability of Rrs for estimating total suspended matter concentrations (TSM) in the Barra Bonita Hydroelectrical Reservoir. To establish TSM concentrations via atmospherically corrected Operational Land Imager (OLI) scene, the TSM retrieval model was calibrated and validated with in situ data. Thereby, the achieved results from TSM retrieval model application demonstrated that L8SR is able to provide the most suitable Rrs values for green and red spectral bands, and consequently, the lowest TSM retrieval errors (Mean Absolute Percentage Error about 10},
keywords = {atmospheric correction, inland water, landsat, total suspended matter},
pubstate = {published},
tppubtype = {article}
}

@article{guimaraes2017aplicaccao,
title = {APLICAÇÃO DE DADOS ERS, ENVISAT E SENTINEL PARA DETECÇÃO DE MUDANÇAS NOS AMBIENTES COSTEIROS AMAZÔNICOS},
author = {Ulisses Silva Guimarães and Igor da Silva Narvaes and Maria de Lourdes Bueno Trindade Galo},
year = {2017},
date = {2017-01-01},
journal = {Revista Brasileira de Geomorfologia},
volume = {18},
number = {2},
keywords = {amazônia, ambientes costeiros, detecção de mudanças, envisat, ERS, sentinel},
pubstate = {published},
tppubtype = {article}
}

@article{RCIN1893,
title = {Evaluación espacio-temporal del estado trófico de un lago de grandes dimensiones usando imágenes MOD09GA},
author = {Ricardo Moncayo Eraso and Maria de Lourdes Bueno Trindade Galo},
doi = {10.18359/rcin.1893},
issn = {1909-7735},
year = {2017},
date = {2017-01-01},
journal = {Ciencia e Ingeniería Neogranadina},
volume = {27},
number = {1},
pages = {27--42},
abstract = {Aunque la relación empírica entre imágenes satelitales y datos recolectados en campo del disco de Secchi ha sido demostrada por estudios previos en cuerpos de agua continentales, la creación de líneas base para el monitoreo espacio-temporal que permita identificar la estacionalidad del Índice de Estado Trófico calculado con el Disco de Secchi (IET-DS) ha sido poco explorado en el monitoreo de grandes lagos. Para realizar un ejemplo práctico de la dinámica espacio-estacional trófica en el embalse de Porto Primavera (Estado de São Paulo - Brasil) a partir de mayo de 2000 hasta abril de 2015, se utilizaron imágenes generadas por el sensor MODIS-Terra, e igualmente, dos trabajos de campo fueron realizados para obtener valores del Disco de Secchi (DS). Estos valores se usaron para ajustar y validar un modelo de correlación entre los valores de reflectancia de la banda centrada en los 645nm y el DS. Los resultados indicaron que el modelo tiene un alto coeficiente de determinación (R2 = 0,80) y un moderado error asociado a las estimaciones (RMSE = 0,47m). El análisis de la variación estacional del (IET-DS) muestra el siguiente patrón: la transparencia del lago es afectada por las estaciones seca y lluviosa. El valor promedio de las estaciones de muestreo localizadas en el lago lo clasifican como oligotrófico, las regiones próximas a la desembocadura del río Pardo, presentan una clasificación eutrófica durante gran parte del año; en las temporadas de verano y otoño esta condición se extiende a casi toda la región norte del lago.},
keywords = {espaço-temporal, estado trófico, grandes lagos, imagens, MODIS},
pubstate = {published},
tppubtype = {article}
}

@article{RODRIGUES2017213,
title = {Retrieval of Secchi disk depth from a reservoir using a semi-analytical scheme},
author = {Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Nilton Nobuhiro Imai},
doi = {10.1016/j.rse.2017.06.018},
issn = {0034-4257},
year = {2017},
date = {2017-01-01},
journal = {Remote Sensing of Environment},
volume = {198},
pages = {213--228},
abstract = {The mechanistic model reported in Lee et al. (2015) estimating the Secchi disk depth (ZSD) was applied to an oligo- to mesotrophic reservoir in Brazil. The model was originally validated with data covering lake, oceanic, and coastal waters; however, the model used the quasi-analytical algorithm (QAA) designed for optically deep waters as input and was applied to oceanic and coastal waters to derive absorption [a] and backscattering [bb] coefficients. The hypothesis is that the use of QAAv5 (http://www.ioccg.org/groups/Software_OCA/QAA_v5.pdf) to estimate both a and bb (step M1) to retrieve Kd (step M2) and ZSD (step M3) will lead to errors caused by M1 preventing an accurate estimate in oligo- to mesotrophic water. To test this hypothesis, data collected in three field trips were used to apply the mechanistic model based on the spectral bands from OLI/Landsat-8, (often applied to oceanic and coastal waters), and multispectral instrument (MSI)/Sentinel-2 bands (applied to QAA designed for very turbid inland water). The impact of step M1 over steps M2 and M3 was analyzed by the error analysis. The mean absolute percentage error (MAPE) for Kd using QAAv5 ranged between 10.35},
keywords = {algorithm, reservoir, Secchi disk, semi-analytical},
pubstate = {published},
tppubtype = {article}
}

@article{rs9030185,
title = {Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging},
author = {Olli Nevalainen and Eija Honkavaara and Sakari Tuominen and Niko Viljanen and Teemu Hakala and Xiaowei Yu and Juha Hyyppä and Heikki Saari and Ilkka Pölönen and Nilton Nobuhiro Imai and Antonio M G Tommaselli},
doi = {10.3390/rs9030185},
issn = {2072-4292},
year = {2017},
date = {2017-01-01},
journal = {Remote Sensing},
volume = {9},
number = {3},
abstract = {Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees representing various tree species and developmental stages were collected in June 2014 using a UAV remote sensing system equipped with a frame format hyperspectral camera and an RGB camera in highly variable weather conditions. Dense point clouds were measured photogrammetrically by automatic image matching using high resolution RGB images with a 5 cm point interval. Spectral features were obtained from the hyperspectral image blocks, the large radiometric variation of which was compensated for by using a novel approach based on radiometric block adjustment with the support of in-flight irradiance observations. Spectral and 3D point cloud features were used in the classification experiment with various classifiers. The best results were obtained with Random Forest and Multilayer Perceptron (MLP) which both gave 95},
keywords = {classification, hyperespectral images, point clouds, tree detection, UAV},
pubstate = {published},
tppubtype = {article}
}

@article{7572061,
title = {Identification of Successional Stages and Cover Changes of Tropical Forest Based on Digital Surface Model Analysis},
author = {A Berveglieri and A M G Tommaselli and Nilton Nobuhiro Imai and E A W Ribeiro and R B Guimarães and E Honkavaara},
doi = {10.1109/JSTARS.2016.2606320},
issn = {1939-1404},
year = {2016},
date = {2016-12-01},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume = {9},
number = {12},
pages = {5385--5397},
abstract = {Forests are in a permanent state of change due to natural and anthropogenic processes. Long-term time series analysis makes it possible to reconstruct the forest history and perform a multitemporal analysis on the cause and effect of changes. This paper describes an approach for successional stage classification in a tropical forest based on vertical structure variations. Stereo-photogrammetry and novel image matching methods are used to produce dense digital surface models (DSMs) from optical images (historical and contemporary). An approach was developed to classify the successional stages of trees using local height variations provided by a DSM and image intensity values. Experiments were performed in a semi-deciduous tropical forest fragment located in the West of São Paulo State, Brazil. Six test sample plots and a line transect were established and field surveys were conducted to collect forest variables. These variables were used to characterize and validate five successional classes based on secondary tree species that stratify the forest canopy. The current status of the entire forest fragment was characterized using recent photogrammetric imagery, and a map of historical successional stages was established by analyzing the historical photogrammetric imagery. The investigation demonstrated that the proposed technique can be used to reconstruct the geometric structure of a forest canopy from aerial images. The successional stages can be identified and compared over time using multitemporal photogrammetric imagery and DSMs, which enables an analysis of forest cover changes. The results indicated that the successional stage has changed dramatically during the 50 years period of time.},
keywords = {conver changes, DSM, successional stages, tropical forest},
pubstate = {published},
tppubtype = {article}
}

@article{Martins2016,
title = {Support Vector Machine algorithm optimal parameterization for change detection mapping in Funil Hydroelectric Reservoir (Rio de Janeiro State, Brazil)},
author = {Sarah Cristina Araujo Martins and Nariane Marselhe Ribeiro Bernardo and Igor Ogashawara and Enner Herenio de Alcântara},
doi = {10.1007/s40808-016-0190-y},
issn = {2363-6211},
year = {2016},
date = {2016-07-21},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {3},
pages = {138},
abstract = {Change detection in Land Use and Land Cover (LULC) using Support Vector Machines (SVM) to mapping a geographic area is a way that has been studded and improved because of its advantages as low costs in terms of computing, field research and staff team. To use SVM, it is needed firstly to define the most efficient function to be used (linear, polynomial, and radial base function---RBF) and secondly to establish the most appropriate input parameters of them, based on the study area, which was the main challenge of using SVM algorithm. The main goal of this work was to test the performance of polynomial function and RBF, and to identify which input parameters combination are the best to use SVM algorithm for Funil Hydroelectric Reservoir (FHR) sub-watershed LULC mapping, using TM/Landsat-5 time-series images. After several tests and based on the obtained results, the RBF was identified as the best SVM's function, which was used to classify the time-series images. The referred SVM function has the following parameters to be defined: the error tolerance (ξ or C), the pyramid depths (P), the radial basis function parameter (γ), and the threshold. The most effective combination of input parameters to RBF was C = 100; P = 2, γ = 0.1},
keywords = {algorithm, change detection, Funil, parametrization, reservoir, Rio de Janeiro, Support vector machine, SVM},
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{Bernardo2016,
title = {An investigation into the effectiveness of relative and absolute atmospheric correction for retrieval the TSM concentration in inland waters},
author = {Nariane Marselhe Ribeiro Bernardo and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara},
doi = {10.1007/s40808-016-0176-9},
issn = {2363-6211},
year = {2016},
date = {2016-06-21},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {3},
pages = {114},
abstract = {The absolute atmospheric correction inputs are not always available, and then such parameters are assumed based on geographical location, acquisition time and sensor type. These assumptions can imply in errors in retrieving the remote-sensing reflectance (Rrs), and affects the optically active compounds estimates. As an alternative, relative atmospheric correction, i.e. radiometric normalization, can be used in cases where there is no information about atmospheric conditions. The main goal of this work was to perform a comparative analysis between absolute and relative atmospheric correction to estimate total suspended matter (TSM) concentrations in the Barra Bonita Hydroelectric Reservoir (São Paulo State, Brazil). The corrections were applied to the operational land imager, on-board Lansat-8 satellite. The Rrs errors from each correction were computed considering in situ data, and the lowest error was obtained for green spectral band (RMSEabsolute = 11.5 % and RMSErelative = 12.3 %). Using a regional algorithm that was developed using the in situ measurements (the model was TSM = 1742.7*B3 - 5.42, with R2 = 0.60},
keywords = {atmospheric correction, concentration, inland water, total suspended matter, TSM},
pubstate = {published},
tppubtype = {article}
}

@article{Alcântara2016b,
title = {An investigation into the particle volume scattering function variability in a cascading reservoir system},
author = {Enner Herenio de Alcântara and Thanan Walesza Pequeno Rodrigues and Fernanda Sayuri Yoshino Watanabe and Nariane Marselhe Ribeiro Bernardo},
doi = {10.1007/s40808-016-0149-z},
issn = {2363-6211},
year = {2016},
date = {2016-06-08},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {2},
pages = {89},
abstract = {This work analyzed the spectral and spatial distribution of the particle volume scattering function, βp, in a cascading reservoir system. During fieldworks water quality parameters and scattering data were sampled in a predetermined stations. The βp was estimated using the ECO-BB9 equipment that measures the volume scattering function, β at 117 [β(117)]. The estimated βp(117) were compared with the remote sensing reflectance, Rrs, and the chlorophyll-a (Chl-a) concentration, total suspended matter (TSM) concentration and the transparency (measured using a Secch disk). The results showed that in a hypertrophic environment the βp is dominated by the phytoplankton scattering and in an oligotrophic water system, the scattering by a suspended matter dominates. The βp(117) variability from a hypertrophic to an oligotrophic aquatic system affects the remote sensing reflectance (R rs) spectral shape. Due to this, the parametrization of a unique bio-optical model to estimate the optically active components in the water will be challenging.},
keywords = {cascading, particle, reservoir, volume scattering function, vsf},
pubstate = {published},
tppubtype = {article}
}

@article{RodriguesT2016,
title = {Spatial and temporal variations of the inherent optical properties in a tropical cascading reservoir system},
author = {Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Nariane Marselhe Ribeiro Bernardo and Luiz Henrique da Silva Rotta and Nilton Nobuhiro Imai},
doi = {10.1007/s40808-016-0144-4},
issn = {2363-6211},
year = {2016},
date = {2016-06-07},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {2},
pages = {86},
abstract = {In order to verify the effect of a cascade system in the water quality of two tropical reservoirs in Brazil, this work proposed to make use of the inherent optical properties (IOPs) as well as the specific inherent optical properties (SIOPs). From upstream to downstream, Barra Bonita (BB) is the first in a set of six reservoirs along Tietê River and Nova Avanhandava (Nav) is the fifth reservoir. BB is eutrophic whilst Nav is an oligotrophic environment. According to the IOP and SIOP analysis, it was possible to attest that BB was organic matter dominated and Nav was inorganic matter. These differences are noticeable in bio-optical modeling, must be considered different approaches to retrieve water quality parameters in both sites, once, the models take into account the specific information about the IOP and their relation with the optically active components (OACs) concentration. In addition, the results of this paper can provide comparable data to other water systems and improve the comprehension about the optical properties of complex water bodies.},
keywords = {cascading, inherent optical properties, reservoir, spatial, temporal, tropical},
pubstate = {published},
tppubtype = {article}
}

@article{Alcântara2016a,
title = {The variability of particle backscattering coefficient in an oligo-to-hypertrophic cascading reservoir system: implications to TSM bio-optical model development},
author = {Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Nariane Marselhe Ribeiro Bernardo and Thanan Walesza Pequeno Rodrigues},
doi = {10.1007/s40808-016-0146-2},
issn = {2363-6211},
year = {2016},
date = {2016-06-06},
journal = {Modeling Earth Systems and Environment},
volume = {2},
number = {2},
pages = {84},
abstract = {The particle backscattering coefficient (b bp ) has been obtained either by equipment or semi-analytically based on relations between b bp and the remote sensing reflectance (R rs ). Correlation between b bp and R rs can be significantly high allowing the development of bio-optical model to estimate the total suspended matter concentration [TSM] on water surface from satellite images. The development of such model to monitor cascading reservoir systems can be challenging since this type of water resources changes their biogeochemical composition from upstream to downstream; the water in such system can range from hypertrophic to oligotrophic state. The scientific question raised in this letter is that: in an oligo-to-hypertrophic water system the models based on b bp will keep their good agreement or the influence of organic matter (e.g. chlorophyll-a) can affect this relationship? The aim of this letter was to analyze the b bp variability in a cascading reservoir system and search for empirical models that can capture the relationship between the b bp and [TSM]. The results showed that there are not only differences in the biogeochemical concentrations but also in the b bp from upstream to downstream. In addition there is an influence of chlorophyll-a concentration [Chl-a] on the relationship between b bp and [TSM] which prevents the bio-optical model development.},
keywords = {algorithm, backscattering, bio-optical, cascading, coefficient, hypertrophic, model, oligotrophic, particle, reservoir, total suspended matter, TSM},
pubstate = {published},
tppubtype = {article}
}

@article{RODRIGUES2016,
title = {DELINEAMENTO AMOSTRAL EM RESERVATÓRIOS UTILIZANDO IMAGENS LANDSAT-8/OLI: UM ESTUDO DE CASO NO RESERVATÓRIO DE NOVA AVANHANDAVA (ESTADO DE SÃO PAULO, BRASIL)},
author = {Thanan Walesza Pequeno Rodrigues and Ulisses Silva Guimarães and Luiz Henrique da Silva Rotta and Fernanda Sayuri Yoshino Watanabe and Enner Herenio de Alcântara and Nilton Nobuhiro Imai},
issn = {1982-2170},
year = {2016},
date = {2016-06-01},
journal = {Boletim de Cià GeodÃ},
volume = {22},
pages = {303--323},
publisher = {scielo},
keywords = {delineamento amostral, imagens, landsat, nova avanhadava, reservoir, São Paulo},
pubstate = {published},
tppubtype = {article}
}

@article{Alcantara2016,
title = {Estimating total suspended matter using the particle backscattering coefficient: results from the Itumbiara hydroelectric reservoir (Goiás State, Brazil)},
author = {Enner Herenio de Alcântara and Marcelo Curtarelli and José Stech},
doi = {10.1080/2150704X.2015.1137646},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Letters},
volume = {7},
number = {4},
pages = {397--406},
abstract = {ABSTRACTIn this study, a quasi-analytical algorithm (QAA)-based model was parameterized using remote-sensing reflectance (Rrs, units in sr-1), total absorption coefficient (at) and total suspended matter (TSM) concentration. The model was based on the particle backscattering at 561 nm (bbp(561)) and was derived from the QAA and TSM concentration. The aim of this work was to parameterize a QAA-based model to estimate the TSM concentration using the Landsat-8 Operational Land Imager (OLI) sensor in the Itumbiara hydroelectric reservoir, Brazil. The results demonstrated that the calibrated model},
keywords = {backscattering, coefficient, Goiás, Itumbiara, particle, reservoir, total suspended matter, TSM},
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{carmo2016using,
title = {Using Visual Analytics techniques to evaluate the Data Quality in environmental datasets},
author = {Alisson Fernando Coelho do Carmo and Milton Hirokazu Shimabukuro and Enner Herenio de Alcântara},
year = {2016},
date = {2016-01-01},
journal = {Boletim de Ciências Geodésicas},
volume = {22},
number = {3},
pages = {542--556},
publisher = {SciELO Brasil},
keywords = {data quality, datasets, environment, visual analytics},
pubstate = {published},
tppubtype = {article}
}

@article{CURTARELLI2016676,
title = {Carbon dioxide emissions from Tucuruí reservoir (Amazon biome): New findings based on three-dimensional ecological model simulations},
author = {Marcelo Pedroso Curtarelli and Igor Ogashawara and Carlos Alberto Sampaio de Araújo and João Antônio Lorenzzetti and Joaquim Antônio Dionísio Leão and Enner Herenio de Alcântara and José Luiz Stech},
doi = {10.1016/j.scitotenv.2016.02.001},
issn = {0048-9697},
year = {2016},
date = {2016-01-01},
journal = {Science of The Total Environment},
volume = {551},
pages = {676--694},
abstract = {We used a three-dimensional model to assess the dynamics of diffusive carbon dioxide flux (FCO2) from a hydroelectric reservoir located at Amazon rainforest. Our results showed that for the studied periods (2013 summer/wet and winter/dry seasons) the surface averaged FCO2 presented similar behaviors, with regular emissions peaks. The mean daily surface averaged FCO2 showed no significant difference between the seasons (p>0.01), with values around -1338mgCm-2day-1 (summer/wet) and -1395mgCm-2day-1 (winter/dry). At diel scale, the FCO2 was large during the night and morning and low during the afternoon in both seasons. Regarding its spatial distribution, the FCO2 showed to be more heterogeneous during the summer/wet than during the winter/dry season. The highest FCO2 were observed at transition zone (-300mgCm-2h-1) during summer and at littoral zone (-55mgCm-2h-1) during the winter. The total CO2 emitted by the reservoir along 2013year was estimated to be 1.1TgCyear-1. By extrapolating our results we found that the total carbon emitted by all Amazonian reservoirs can be around 7TgCyear-1, which is 22},
keywords = {amazon, carbon dioxide, emissions, model, reservoir, simulations, tucuruí},
pubstate = {published},
tppubtype = {article}
}

@article{doi:10.1080/01431161.2016.1204027,
title = {Analyzing the status of submerged aquatic vegetation using novel optical parameters},
author = {Luiz Henrique da Silva Rotta and Deepak R Mishra and Enner Herenio de Alcântara and Nilton Nobuhiro Imai},
doi = {10.1080/01431161.2016.1204027},
year = {2016},
date = {2016-01-01},
journal = {International Journal of Remote Sensing},
volume = {37},
number = {16},
pages = {3786--3810},
abstract = {ABSTRACTThe reservoirs constructed throughout Brazil for electrical power generation following its industrial and socioeconomic development now favour abundant aquatic macrophyte growth. Nova Avanhandava Reservoir is fully inhabited by submerged aquatic vegetation (SAV) that poses serious ecological and economic threats. The overall goal of this study was to assess the radiation availability in the water column in the Nova Avanhandava Reservoir and analyse its influence on SAV development and growth. In addition to the diffuse attenuation coefficient (Kd) and euphotic zone depth (ZEZ), optical parameters such as percentage light through the water (PLW) were computed and analysed to achieve the objective. Nineteen sampling locations were considered for both spectroradiometer measurements and water sampling for analytical determination of total suspended solids (TSS) and chlorophyll-a concentration. Depth, SAV height, and precise position were also collected through hydro-acoustic measurements. The upstream region showed the highest TSS and Kd levels compared to the downstream. SAV heights were found to be lower upstream compared to downstream. The growth of tall SAV was favoured by low PLW, which grew taller to intercept required radiation. Locations with high transparency (lower Kd) also favoured the development of tall SAV compared to areas of high Kd. This may mean that low PLW values favour tall SAV growth if Kd is low enough not to hinder this. An inverse relationship between SAV height and attenuation of photosynthetic active radiation (Kd,PAR) was observed with a coefficient of determination of R2 = 0.56 (p < 0.001), demonstrating that SAV height can be estimated using Kd,PAR with significant accuracy.},
keywords = {optical, parametrization, Submerged aquatic vegetation, water},
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{doi:10.1080/2150704X.2016.1177242,
title = {Estimating the CDOM absorption coefficient in tropical inland waters using OLI/Landsat-8 images},
author = {Enner Herenio de Alcântara and Nariane Marselhe Ribeiro Bernardo and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Luiz Henrique da Silva Rotta and Alisson Fernando Coelho do Carmo and Milton Hirokazu Shimabukuro and Stela Rosa Amaral Gonçalves and Nilton Nobuhiro Imai},
doi = {10.1080/2150704X.2016.1177242},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Letters},
volume = {7},
number = {7},
pages = {661--670},
abstract = {ABSTRACTColoured dissolved organic matter (CDOM) is the most abundant dissolved organic matter (DOM) in many natural waters and can affect the water quality, such as the light penetration and the thermal properties of water system. So the objective of this letter was to estimate the CDOM absorption coefficient at 440 nm, aCDOM(440), in Barra Bonita Reservoir (São Paulo State, Brazil) using operational land imager (OLI)/Landsat-8 images. For this two field campaigns were conducted in May and October 2014. During the field campaigns remote sensing reflectance (Rrs) were measured using a TriOS hyperspectral radiometer. Water samples were collected and analysed to obtain the aCDOM(440). To predict the aCDOM(440) from Rrs at two key wavelengths (650 and 480 nm) were regressed against laboratory-derived aCDOM(440) values. The validation using in situ data of aCDOM(440) algorithm indicated a goodness of fit},
keywords = {absorption, cdom, coefficient, imagens, inland water, landsat, tropical 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{doi:10.1080/23729333.2016.1179864,
title = {Spatiotemporal total suspended matter estimation in Itumbiara reservoir with Landsat-8/OLI images},
author = {Enner Herenio de Alcântara and Marcelo Curtarelli and Milton Kampel and José Stech},
doi = {10.1080/23729333.2016.1179864},
year = {2016},
date = {2016-01-01},
journal = {International Journal of Cartography},
volume = {2},
number = {2},
pages = {148--165},
abstract = {ABSTRACTThe transparency of water is affected by the amount of sunlight available, suspended particles and dissolved solids such as colored dissolved organic material present in the water column. High concentrations of total suspended matter (TSM) reduce water clarity, which can affect photosynthesis of submerged aquatic vegetation, thereby affecting oxygen production which is essential to aquatic organisms at upper levels in the food chain. The aim of this work is to evaluate the use of Landsat-8 Operational Land Imager (OLI) sensor to estimate TSM concentrations in the Itumbiara hydroelectric reservoir, Midwest Brazil (1825' S, 4906' W). Concurrent proximal remote-sensing and limnological data were collected in May and September 2009, acquired between 10:00 and 14:00 (Brazil time UTC-3) to provide representative daily readings. In situ above-water radiometric data were used to simulate remote-sensing reflectance (Rrs) for the Landsat-8/OLI spectral bands. TSM empirical models were derived from Landsat-8/OLI simulated spectral bands. The data set acquired in September 2009 was used to derive the models and the data collected in May 2009 was used for validation. To assess the similarities and differences between measured and model derived TSM concentrations, two statistical indicators were calculated. The model with lowest error was applied to selected Landsat-8/OLI images. Preliminary results showed that the model with lowest error was calibrated using Rrs from bands 2 and 3 as index. The results obtained here show that Landsat-8/OLI sensor has enough sensibility to estimate TSM concentrations in inland waters in Brazil.},
keywords = {imagens, Itumbiara, landsat, spatio-temporal, total suspended matter, TSM},
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{OGASHAWARA2016128,
title = {Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters},
author = {Igor Ogashawara and Deepak R Mishra and Renata F F Nascimento and Enner Herenio de Alcântara and Milton Kampel and Jose L Stech},
doi = {10.1016/j.jag.2016.09.001},
issn = {0303-2434},
year = {2016},
date = {2016-01-01},
journal = {International Journal of Applied Earth Observation and Geoinformation},
volume = {53},
pages = {128--145},
abstract = {Quasi-Analytical Algorithms (QAAs) are based on radiative transfer equations and have been used to derive inherent optical properties (IOPs) from the above surface remote sensing reflectance (Rrs) in aquatic systems in which phytoplankton is the dominant optically active constituents (OACs). However, Colored Dissolved Organic Matter (CDOM) and Non Algal Particles (NAP) can also be dominant OACs in water bodies and till now a QAA has not been parametrized for these aquatic systems. In this study, we compared the performance of three widely used QAAs in two CDOM dominated aquatic systems which were unsuccessful in retrieving the spectral shape of IOPS and produced minimum errors of 350},
keywords = {algorithm, cdom, inland water, parametrization, quasi-analytical},
pubstate = {published},
tppubtype = {article}
}

@article{rodrigues2016analysis,
title = {Analysis of data quality element's applicability for radiometric measurements in remote sensing of water: a case study in Nova Avanhandava reservoir, São Paulo, Brazil},
author = {Thanan Walesza Pequeno Rodrigues and Ivana Ivánová and Enner Herenio de Alcântara and Milton Hirokazu Shimabukuro and Fernanda Sayuri Yoshino Watanabe and Luiz Henrique da Silva Rotta and Nilton Nobuhiro Imai and Cláudio Barbosa},
year = {2016},
date = {2016-01-01},
journal = {Revista Brasileira de Cartografia},
volume = {67},
number = {7},
keywords = {data quality, nova avanhadava, radiometric, remote sensing, São Paulo, water},
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{ROTTA2016158,
title = {Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir},
author = {Luiz Henrique da Silva Rotta and Enner Herenio de Alcântara and Fernanda Sayuri Yoshino Watanabe and Thanan Walesza Pequeno Rodrigues and Nilton Nobuhiro Imai},
doi = {10.1016/j.rsase.2016.09.001},
issn = {2352-9385},
year = {2016},
date = {2016-01-01},
journal = {Remote Sensing Applications: Society and Environment},
volume = {4},
pages = {158--166},
abstract = {Remote sensing images have been increasingly used by its ability to collect data from extensive areas in a short time and with relatively low cost. Studies conducted in aquatic environments require great attention in relation to atmospheric correction, since the signal leaving water bodies is strongly attenuated. The present work aimed to assess the atmospheric correction of SPOT-6 image based on the variation of initial visibility parameter in FLAASH and analyze its influence on models to estimate Secchi depth (SD) and diffuse attenuation coefficient (Kd). The study was carried out in Nova Avanhandava Reservoir, which belongs to the chain of the Tietê River reservoirs (São Paulo, Brazil). The models calibration was based on remote sensing reflectance (Rrs) of simulated SPOT bands from data collected in the field. The best models were obtained using the band ratio Rrs(560nm)/Rrs(660nm) for SD (R2=92},
keywords = {algorithm, atmospheric correction, imagens, models, reservoir, spot, transparency, tropical reservoir, water column},
pubstate = {published},
tppubtype = {article}
}

@article{WATANABE201628,
title = {Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters},
author = {Fernanda Sayuri Yoshino Watanabe and Deepak R Mishra and Ike Astuti and Thanan Walesza Pequeno Rodrigues and Enner Herenio de Alcântara and Nilton Nobuhiro Imai and Cláudio Barbosa},
doi = {10.1016/j.isprsjprs.2016.08.009},
issn = {0924-2716},
year = {2016},
date = {2016-01-01},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {121},
pages = {28--47},
abstract = {Quasi-analytical algorithm (QAA) was designed to derive the inherent optical properties (IOPs) of water bodies from above-surface remote sensing reflectance (Rrs). Several variants of QAA have been developed for environments with different bio-optical characteristics. However, most variants of QAA suffer from moderate to high negative IOP prediction when applied to tropical eutrophic waters. This research is aimed at parametrizing a QAA for tropical eutrophic water dominated by cyanobacteria. The alterations proposed in the algorithm yielded accurate absorption coefficients and chlorophyll-a (Chl-a) concentration. The main changes accomplished were the selection of wavelengths representative of the optically relevant constituents (ORCs) and calibration of values directly associated with the pigments and detritus plus colored dissolved organic material (CDM) absorption coefficients. The re-parametrized QAA eliminated the retrieval of negative values, commonly identified in other variants of QAA. The calibrated model generated a normalized root mean square error (NRMSE) of 21.88},
keywords = {algorithm, calibration, parametrization, quasi-analytical, tropical reservoir},
pubstate = {published},
tppubtype = {article}
}

@article{MARTINS2015,
title = {CARACTERIZAÇÃO ESPECTRAL DA CANA-DE-AÇUCAR INFECTADA POR NEMATOIDES E MIGDOLUS FRYANUS POR ESPECTRORRADIOMETRIA DE CAMPO},
author = {George Deroco Martins and Maria de Lourdes Bueno Trindade Galo},
issn = {1982-2170},
year = {2015},
date = {2015-12-01},
journal = {Boletim de Cià GeodÃ},
volume = {21},
pages = {783--796},
publisher = {scielo},
keywords = {cana de açucar, espectro, espectrorradiometria, migdolus fryanus, nematoides, sugarcane},
pubstate = {published},
tppubtype = {article}
}

@article{CICERELLI2015,
title = {Sensoriamento remoto multifonte aplicado na detecção do fitoplâncton em Águas interiores},
author = {Rejane E Cicerelli and Maria de Lourdes Bueno Trindade Galo},
issn = {1415-4366},
year = {2015},
date = {2015-03-01},
journal = {Revista Brasileira de Engenharia AgrÃcola e Ambiental},
volume = {19},
pages = {259--265},
publisher = {scielo},
keywords = {detecção fitoplâncton, inland water, phytoplankton, remote sensing, Sensoriamento Remoto},
pubstate = {published},
tppubtype = {article}
}

@article{UTSUMI2015,
title = {Mapeamento de cianobactéria por meio da fluorescência da ficocianina e de análise geoestatística},
author = {Alex G Utsumi and Maria de Lourdes Bueno Trindade Galo and Vilma M Tachibana},
issn = {1415-4366},
year = {2015},
date = {2015-03-01},
journal = {Revista Brasileira de Engenharia AgrÃcola e Ambiental},
volume = {19},
pages = {273--279},
publisher = {scielo},
keywords = {cianobactéria, ficocianina, fluorescência, geoestatística, mapeamento},
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}
}

@article{isprs-archives-XL-7-W3-1439-2015,
title = {Brazilian inland water bio-optical dataset to support carbon budget studies in reservoirs as well as anthropogenic impacts in Amazon floodplain lakes: Preliminary results},
author = {C Barbosa and E Novo and R Ferreira and L Carvalho and C Cairo and F Lopes and J Stech and Enner Herenio de Alcântara},
doi = {10.5194/isprsarchives-XL-7-W3-1439-2015},
year = {2015},
date = {2015-01-01},
journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
volume = {XL-7/W3},
pages = {1439--1446},
keywords = {amazon, anthropogenic impacts, bio-optical, carbon budget, datasets, floodplain, inland water, lakes},
pubstate = {published},
tppubtype = {article}
}

@article{isprs-archives-XL-7-W3-635-2015,
title = {Bio-optical data integration based on a 4 D database system approach},
author = {Nilton Nobuhiro Imai and Milton Hirokazu Shimabukuro and Alisson Fernando Coelho do Carmo and Enner Herenio de Alcântara and Thanan Walesza Pequeno Rodrigues and Fernanda Sayuri Yoshino Watanabe},
doi = {10.5194/isprsarchives-XL-7-W3-635-2015},
year = {2015},
date = {2015-01-01},
journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
volume = {XL-7/W3},
pages = {635--641},
keywords = {bio-optical, database, datasets, integration},
pubstate = {published},
tppubtype = {article}
}