@InProceedings{NevesKoFoQuViFeEs:2017:CoAsLe,
               author = "Neves, Alana K. and Korting, Thales Sehn and Fonseca, Leila Maria 
                         Garcia and Queiroz, Gilberto R. and Vinhas, Lubia and Ferreira, 
                         Karine Reis and Escada, Maria Isabel Sobral",
          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 = "TerraClass x MapBiomas: comparative assessment of legend and 
                         mapping agreement analysis",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "295--300",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In this work, we evaluated the agreement between land cover maps 
                         generated by TerraClass and MapBiomas projects for Para\́ 
                         state and, more specifically: (1) describe the legends based on an 
                         international classification system, (2) analyze the differences 
                         among classes and (3) test PostGIS Raster from PostgreSQL database 
                         to work with classification products. The classifications were 
                         compared pixel by pixel and the evaluation was performed based on 
                         confusion matrices. The agreement between them was 84.40%. The 
                         different methodologies adopted by the two projects generate 
                         significant disagreements in class identification, so using both 
                         maps together as complementary is not recommended for land use and 
                         cover change analyzes.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DUR8",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DUR8",
           targetfile = "37neves_escada.pdf",
        urlaccessdate = "27 abr. 2024"
}