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@InProceedings{AraiShAnSoSiYa:2017:AvSÚTe,
               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/rep/8JMKD3MGP6W34M/3PSLSE8",
           targetfile = "59430.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "29 nov. 2020"
}


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