@InProceedings{MarquesAndrSote:2023:AsLaUs,
               author = "Marques, Sabrina Guilherme and Andrade, Pedro Ribeiro de and 
                         Soterroni, Aline C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University of 
                         Oxford}",
                title = "Assessing Land Use and Land Cover Maps and Legends between 
                         MapBiomas and Brazil’s Fourth Emission Inventory",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Vinhas, Lubia (INPE) and Feitosa, Flavia F. (UFABC)",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 24. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Comparing LULC maps is essential for understanding landscape 
                         dynamics, alteration patterns, and environmental implications. 
                         This study uses an algorithm to harmonize the maps of Brazil 
                         National Inventory and MapBiomas based on the spatial distribution 
                         of LULC classes. This investigation aims to compute the agreement 
                         between two initiatives while examining the uncertainties of both. 
                         Furthermore, the results highlight the classes and areas of 
                         potential inconsistency or ambiguity, allowing to identify and 
                         correct discrepancies, proposing a harmonized legend between then. 
                         For all Brazil, we achieved a maximum concordance of 81% between 
                         the two maps; out of the 44 equivalences, the algorithm correctly 
                         identified 84% of the mappings between the classes.",
  conference-location = "On-line",
      conference-year = "04 a 06 dez. 2023",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/4ADBP7S",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/4ADBP7S",
           targetfile = "Marques_Assessing.pdf",
        urlaccessdate = "2024, Dec. 01"
}