@InProceedings{NicolettiMaBoLiReLiVi:2017:InFoCo,
               author = "Nicoletti, Adilson Luiz and Marco, Eva Sevillano and Boeno, Marcus 
                         Moresco and Liesenberg, Veraldo and Refosco, Julio Cesar and 
                         Lingner, D{\'e}bora Vanessa and Vibrans, Alexander Christian",
                title = "Intercomparison between forest cover mapping for two areas in 
                         Santa Catarina (Brazil)",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4723--4730",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Land cover mapping, especially with regards to forest cover, 
                         resulting from different methodologies will likelydisagree in 
                         forest cover proportions. This study evaluates and compares 
                         consolidated thematic maps, in vectorand raster formats, derived 
                         from national and international research efforts at larger 
                         regional or global extents.The municipalities of Blumenau (BL), 
                         Rio do Oeste and Presidente Get{\'u}lio (RO/PG), in the state of 
                         SantaCatarina (Brazil), were selected as representative of both a 
                         high percent and a low percent forest cover within thesubtropical 
                         evergreen rainforest. In this characterization of the forest cover 
                         response at local scales when usinggeneralized products, the 
                         raster products provided the highest scores: e.g., 97% in BL and 
                         83% in RO/PG forrasters versus 70% and 46% for vectors 
                         respectively. The minimum scores attained were respectively 65% 
                         and34% (rasters) versus 52% and 18% (vectors). All in all, on the 
                         basis of fotointerpretation and field workestimates of >50% of 
                         forest surface in BL and <30% of forest in RO/PG, too divergent 
                         over/under-rated scoresare found. As expected, overlap of maps 
                         resulted in reduced coincident forest surface: agreement of less 
                         than50% (e.g., 35% for BL), decreased considerably to a 5% in 
                         RO/PG. Nonetheless, vector-vector and raster-rastercomparisons 
                         work better (e.g., agreement in RO/PG vector 10.4% and 13.5% 
                         raster). Although the diversity ofmethods and forest definitions 
                         lie beneath the discrepancies found, the need of homogeneous 
                         accurate workflowsand products in forest cover estimation and 
                         monitoring at regional and local scale is proved.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60039",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3JG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3JG",
           targetfile = "60039.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}