Publicações

@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{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{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}
}