@InProceedings{AlcantaraCuOgRoKaSt:2015:DeQARe,
author = "Alcantara, Enner and Curtarelli, Marcelo Pedroso and Ogashawara,
Igor and Rosan, Thais and Kampel, Milton and Stech, Jos{\'e}
Luiz",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Purdue University Indianopolis}
and {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Developing QAA-based retrieval model of total suspended matter
concentration in Itumbiara reservoir, Brazil",
year = "2015",
organization = "IEEE International Geoscience and Remote Sensing Symposium
(IGARSS)",
abstract = "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 was to evaluate the use of Landsat-8 Operational Land
Imager (OLI) sensor to estimate total suspended matter (TSM)
concentrations in the Itumbiara hydroelectric reservoir (IHR),
Midwest Brazil. A TSM model was obtained based on the particle
backscattering at 561 nm. The calibrated model, based on the
particle backscattering derived from the QuaseAnalytical Algorithm
(QAA), TSM = (1.2265e-7.197xb bp561 )+\ξ , shown an R 2 =
0.69. The validation shown an R2 = 0.63, %RMSE = 2.90 and a mean
bias of -0.37 mg L-1 .",
conference-location = "Milan, Italy",
conference-year = "23-31 July",
urlaccessdate = "26 abr. 2024"
}