@InProceedings{XimenesAmar:2011:MaEcDi,
               author = "Ximenes, Arimat{\'e}a de Carvalho and Amaral, Silvana",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE}",
                title = "Mapeamento das Ecorregi{\~o}es do Distrito Florestal 
                         Sustent{\'a}vel da BR-163 na Amaz{\^o}nia Brasileira com uso de 
                         redes neurais",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3094--3102",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Self-Organizing Maps, Ecoregions, Neural Network, geoprocessing, 
                         ecorregi{\~o}es, Mapas AutoOrganiz{\'a}veis, geoprocessamento, 
                         redes neurais.",
             abstract = "Sustainable Forest District (DFS) is a geo-economic and social 
                         complex that aims the integration between local development and 
                         activities based in forest sustainable exploration. This work was 
                         developed in the scope of PIME project (Projeto Integrado 
                         MCT-EMBRAPA) created to evaluate the social, economic and 
                         environmental impacts of the DFS created along BR-163 road. 
                         Contributing to the biodiversity study group, this paper presents 
                         the methodology and the results from terrestrial ecoregions 
                         mapping for the BR-163 DFS. The Self-Organizing Maps (SOM) 
                         algorithm, based on neural network technique, used GIS layers of 
                         altitude, slope, drainage-density, tree cover percentage (MODIS 
                         TREE), and latitude as environmental variables for the mapping. 
                         The distribution of SOM layers-components indicated absence of 
                         spatial correlation between the selected variables. After final 
                         edition, the ecoregions map divided the area of 167,174 km 2 of 
                         the DFS in 14 ecoregions. Altitude and latitude variables, 
                         considered as climate variable proxies, were mainly responsible 
                         for the north-south ecoregions subdivision. Drainage-density 
                         variable was responsible for defining ecoregions along Tapajos 
                         River. In general, the Kappa value obtained from the discriminant 
                         analysis (0.8) indicates good separability between ecoregions 
                         limits. The BR-163 DFS ecoregion map is available for free 
                         download, in order to obtain feedbacks from other dataset 
                         comparisons, and to promote discussions about local environmental 
                         heterogeneity and biodiversity.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A4SM35",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A4SM35",
           targetfile = "p0430.pdf",
                 type = "Ecologia, Biodiversidade e An{\'a}lise de Bacias",
        urlaccessdate = "09 maio 2024"
}