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@InProceedings{MatosakRodUehKörFon:2019:FiAlMO,
               author = "Matosak, Bruno Menini and Rodrigues, Marcos Ant{\^o}nio de 
                         Almeida and Uehara, Tatiana Dias Tardelli and K{\"o}rting, Thales 
                         Sehn and Fonseca, Leila Maria Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Filtering Algorithm for MODIS Time Series Data",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "This paper describes an easy to use and friendly Graphical User 
                         Interface (GUI) of a smoothing tool for remote sensing time 
                         series, focused in MODIS data. This tool is developed in Python 
                         environment and thus uses packages, libraries, modules and 
                         functions to retrieve and filter time series data, and display 
                         temporal information based on user defined parameters. The GUI 
                         allows users to choose MODIS products, different noise-removal 
                         filters, parameters for outlier removal, and also creating 
                         animations based on the time series, of predefined areas. Time 
                         series processed by our system can be downloaded in the well known 
                         CSV format, to be used in other applications.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFEGQ2",
                  url = "http://urlib.net/rep/8JMKD3MGPDW34R/3UFEGQ2",
           targetfile = "304-306.pdf",
        urlaccessdate = "19 jan. 2020"
}


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