@InProceedings{SilvaSouJuvPelSan:2017:AnCoDa,
               author = "Silva, Rosane Gomes and Souza, Ka{\'{\i}}se Barbosa de and 
                         Juvanhol, Ronie Silva and Peluzio, Telma Machado de Oliveira and 
                         Santos, Alexandre Rosa dos",
                title = "An{\'a}lise da confiabilidade dos dados MODIS para estudo da 
                         vegeta{\c{c}}{\~a}o em s{\'e}ries temporais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "539--545",
         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 = "MODIS vegetation index data has been widely used for the study of 
                         vegetation, and in preprocessing steps, is important to remove 
                         spurious pixels flagged as clouds or noise. The aim of this study 
                         was to analyze the quality of the product MOD13Q1 in native forest 
                         area, considering the rainy and dry seasons between 2010 and 2014. 
                         115 VI Quality and Pixel Reliability images of MODIS sensor were 
                         used, corresponding to the period from January 2010 to December 
                         2014. Masks were created, in which defective pixels received value 
                         1 and the reliable pixels received 0. The masks were added and the 
                         analysis carried for the rainy season, from October to March and 
                         the dry season, from April to September. The results showed a 
                         higher presence of spurious pixels in the rainy season coming to 
                         occupy about 45% of the total area in some images, while in the 
                         dry season this value did not exceed 10%. The persistence of 
                         spurious pixels occurred in no more than 5 of the 60 images to a 
                         same pixel in the dry season. In the rainy season in some regions, 
                         20 of 55 images have failed in same pixel. However, most of the 
                         area showed a failure of at most 10 pixels. Overall, the MODIS 
                         images MOD13Q1 product showed high quality and is suitable for the 
                         study of vegetation in time series. Furthermore, it is essential 
                         in the preprocessing step, the removal of spurious pixels and 
                         their replacing with interpolation techniques.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59881",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44FC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44FC",
           targetfile = "59881.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}