@InProceedings{DutraAraiShim:2019:SpDiCl,
               author = "Dutra, Andeise Cerqueira and Arai, Egidio and Shimabukuro, Yosio 
                         Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Spatiotemporal distribution of clouds observed by MODIS quality 
                         assurance in the Brazilian northeast",
            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, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "To estimating and monitoring land use and land cover is crucial 
                         the presence of good quality data. Our objective was to assess the 
                         temporal and spatial distribution of quality data retrieved by the 
                         MODIS sensor between the years 2000 and 2017, specifically in 
                         Bahia State, located in the Brazilian Northeast region. We used 
                         411 images to account the presence of good quality, marginal and 
                         most probably cloudy data. The results showed that the east of 
                         Bahia State, inserted in the Atlantic Forest, presented a large 
                         concentration of failed pixels. The west region presented the most 
                         predominant good quality data, except in the beginning and end of 
                         the year, when increase the monthly precipitation. The conclusion 
                         is that the Quality Assurance provided by MODIS allows separating 
                         pixels with clouds and quality problems for further analysis.",
  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/3UFDET2",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFDET2",
           targetfile = "78-87.pdf",
        urlaccessdate = "18 abr. 2024"
}