@InProceedings{AlcântaraOgCuFeKaSt:2015:AvQAQu,
author = "Alc{\^a}ntara, Enner Herenio and Ogashawara, Igor and Curtarelli,
Marcelo Pedroso and Fernandes, Renata and Kampel, Milton and
Stech, Jos{\'e} Luiz",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o do QAA (Quasi-Analytical Algorithm) na
estimativa do coeficiente de absor{\c{c}}{\~a}o total (at) da
{\'a}gua do reservat{\'o}rio de Itumbiara (GO)",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "239--246",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The water represents a complex mixture of a variety of dissolved
or particulate materials. These materials have different optical
properties that interact with light in different ways in function
of their nature and concentration. Quantitative interpretations of
the detected signal by remote sensors in terms of water materials
require that the effects caused by variations in the incident
light field should be also considered. Optical properties of
inland water vary spatially and temporally corresponding to
changes in the concentration of water materials. Thereupon, the
water color modeling aims to express the remote sensing
reflectance in terms of Inherent Optical Properties (IOPs), such
as total absorption coefficient (at). The development of models
for deriving IOPs from Apparent Optical Properties (AOPs) has been
essential for achieving determinations of water IOPs. One
algorithm used to estimate the (at) is the Quasi-Analytical
Algorithm (QAA). The aim of this paper was to apply the QAA in a
tropical hydroelectric reservoir, during the dry reason, and
evaluate their sensibility in estimate (at) using the remote
sensing reflectance (Rrs). The results showed that for shorter
wavelengths (443 e 560nm) the absorption was dominated by
non-algal particle (aNAP) and for 665 e 700nm the absorption by
phytoplankton was dominant (aphy). The QAA tends to underestimate
the (at) for wavelengths from 450 to 600nm and superestimate for
wavelengths from 650 to 700nm. The highest errors were found at
wavelengths 400 and 700nm and the lowest at 600-650nm. We can
conclude that QAA starts to lose its potential when the
concentration of non-algal particle increases.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "51",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM454H",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM454H",
targetfile = "p0051.pdf",
type = "Sensoriamento remoto de {\'a}guas interiores",
urlaccessdate = "27 abr. 2024"
}