@InProceedings{AraiShAnSoSiYa:2017:AvSéTe,
author = "Arai, Egidio and Shimabukuro, Yosio Edemir and Anderson, Liana
Oighenstein and Souza, Arley Ferreira and Silva, Claudomiro
Mauricio and Yamamoto, Mateus Kazuichi",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {} and {} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o da s{\'e}rie temporal de dados de
temperatura da superf{\'{\i}}cie derivadas do sensor MODIS",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3168--3175",
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 = "This paper describes a construction of time series using land
surface temperature product (MYD11A2) from MODIS sensor aboard the
Aqua platform. The main problem encountered was the many failures
that occur even in the eight day compositions. Gaps occur much
more in nighttime than in daytime temperature products. Then
several interpolation methods were tested to fill these gaps. The
best way to fill the gaps was to first build the 16-day
compositions similar to the existing EVI2 time series in LAF
website and the most appropriate interpolation would be linear
interpolation. It was also analyzed some samples of different
types of land use and land cover, such as water, urban area,
forest, agriculture, cerrado, wetland and deforestation using the
time series of temperature constructed in this work. As expected,
the variations between daytime and nighttime temperatures are
lower in water and higher in agricultural and urban areas.
Regarding the analysis of the samples was found a tendency of
temperature increase during the period analyzed.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59430",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLSE8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSE8",
targetfile = "59430.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}