@InProceedings{CesarKampStec:2017:CáEsRe,
author = "Cesar, Gabriel Moiano and Kampel, Milton and Stech, Jos{\'e}
Luiz",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "C{\'a}lculo da estabilidade relativa da coluna d?{\'a}gua e
classifica{\c{c}}{\~a}o por k-m{\'e}dias de dados MODIS do
Reservat{\'o}rio de Itumbiara (GO) sob o efeito da passagem de
frentes frias",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5025--5032",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Water quality in reservoirs is influenced by weather and climate
forcing that determine spatial and temporal variations in these
systems. Conventional techniques for water quality monitoring
usually require considerable time and resources. The synoptic view
of large areas and high temporal data acquisition frequency
provided by remote sensing and satellite data telemetry constitute
an alternative way to estimate water quality parameters when the
relations between orbital data and those parameters are properly
known. This work evaluates the influence of two cold front
passages on the water color of Itumbiara reservoir, Goi{\'a}s,
Brazil, using cluster analysis of MODerate resolution Imaging
Spectroradiometer (MODIS) and in situ water quality data acquired
from an autonomous moored environmental data acquisition system
(SIMA). In these case studies it was observed that after the cold
front events there was an increase of the compartments (water
masses) showing that these events make this environment more
complex. Images of the days after these events were used to
understand the evolution of the water masses. The calculated
relative water column stability indicates that the largest
vertical mixing in the Itumbiara reservoir is observed in the
winter. It is recommended the use of more than one SIMA dataset
for future works, these techniques can also be performed in other
reservoirs.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60180",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM46G",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM46G",
targetfile = "60180.pdf",
type = "{\'A}reas {\'u}midas e {\'a}guas interiores",
urlaccessdate = "27 abr. 2024"
}