Publicações

@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{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}
}

@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{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}
}