@InProceedings{LimaCaSuAlBaKöQu:2021:AuClCo,
               author = "Lima, Thainara Munhoz Alexandre de and Carvalho, Romulo Marques 
                         and Sutil, Ueslei Adriano and Almeida, Cl{\'a}udia Maria de and 
                         Barbosa, Cl{\'a}udio Clemente Faria and K{\"o}rting, Thales Sehn 
                         and Queiroz, Gilberto Ribeiro de",
          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)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Automated cloud coverage analysis with Brazil Data Cube",
            booktitle = "Anais...",
                 year = "2021",
               editor = "Vinhas, Lubia (INPE) and Gra{\c{c}}a, Alan J. Salom{\~a}o 
                         (UERJ)",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 22. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This paper approaches the topic of Data Cubes applied to the 
                         management and monitoring of the brazilian land surface. It 
                         presents the results of an instrumental work that aimed at 
                         developing a tool in Python language, capable of processing raster 
                         and vector data from cloud masks of the Brazil Data Cube STAC 
                         catalog, with the purpose of generating statistical assessments of 
                         the cloud coverage of a given place in a given period of time. The 
                         program was developed in the Jupyter Notebook environment, and 
                         hence, it is an opensource software development.",
  conference-location = "On-line",
      conference-year = "29 nov. a 02 dez. 2021",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/45U7HU5",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/45U7HU5",
           targetfile = "Lima_automated.pdf",
        urlaccessdate = "2024, May 03"
}