@InProceedings{BontempoDemCorMarVal:2020:ClSyDr,
               author = "Bontempo, Edgard and Demirel, M. C. and Corsini, Christianne and 
                         Martins, Flora and Valeriano, Dalton de Morisson",
          affiliation = "Funcate and {Istanbul Technical University} and Funcate and 
                         Funcate and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Classification system drives disagreement among brazilian 
                         vegetation maps at a sample area of the semiarid Caatinga",
            booktitle = "Proceedings...",
                 year = "2020",
                pages = "499--504",
         organization = "IEEE Latin American GRSS; ISPRS Remote Sensing Conference",
            publisher = "IEEE",
             keywords = "Land Cover Classification, LCC, Classification Semantics, 
                         Caatinga, Vegetation Mapping.",
             abstract = "The mapping of vegetation and Land Cover (LC) is important for 
                         research and for public policy planning but, in Brazil, although 
                         diverse maps exist there are few studies comparing them. The 
                         semiarid region of the Caatinga, in northeastern Brazil is an area 
                         long neglected by scientific research and its vegetation is 
                         diverse and relatively rich despite years of human occupation and 
                         very little preservation effort. In this study we make a 
                         comparison between the main maps made for the Caatinga from four 
                         different sources: IBGE (Brazilian Institute of Geography and 
                         Statistics), TCN (Third National Communication), ProBio (Project 
                         for Conservation and Sustainable Use of Biological Biodiversity) 
                         and MapBiomas. We also test these maps against well-known Land 
                         Cover maps from ESA and NASA: ESAs GlobCover and Climate Change 
                         Initiative (CCI) Land Cover, and NASAs MODIS MCD12Q1. This was 
                         done on a sample area where many of the Caatingas vegetation 
                         physiognomies can be found, using well-established Difference 
                         metrics and the new SPAtial EFficiency (SPAEF) algorithm as they 
                         present complementary viewpoints to test the correspondence of 
                         mapped classes as well as that of their spatial patterns. Our 
                         results show considerable disagreement between the maps tested and 
                         their class semantics, with IBGEs and ProBios being the most 
                         similar among all national maps and MapBiomas the most closely 
                         related to global LC maps. The nature of the observed disagreement 
                         between these maps shows they diverge not only in the application 
                         of their classification systems, but also in their mapped spatial 
                         pattern, signaling the need for a better classification system and 
                         a better map of vegetation and land cover for the region.",
  conference-location = "Santiago, Chile",
      conference-year = "21-26 Mar.",
                  doi = "10.1109/LAGIRS48042.2020.9165637",
                  url = "http://dx.doi.org/10.1109/LAGIRS48042.2020.9165637",
                 isbn = "978-172814350-7",
             language = "en",
           targetfile = "bontempo_classification.pdf",
        urlaccessdate = "28 abr. 2024"
}