@InProceedings{CarvalhoGher:2005:MoBaDa,
               author = "Carvalho, Melissa and Gherardi, Douglas Francisco Marcolino",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Modelagem de um banco de dados geogr{\'a}ficos para o mapeamento 
                         da sensibilidade ambiental ao derramamento de {\'o}leo na zona 
                         costeira",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "2101--2108",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "environmental sensitivity index, geographical database, digital 
                         image processing, {\'{\i}}ndice de sensibilidade ambiental, 
                         banco de dados geogr{\'a}ficos, processamento digital de 
                         imagens.",
             abstract = "Oil spill response groups have faced the difficult task of 
                         handling large and highly diverse environmental databases. In this 
                         paper we show how a geodatabase model can be used for the design 
                         of ESI maps, helping the identification of data redundancy, 
                         conflicts between different spatial scales, and the definition of 
                         adequate data processing and products. First, we give a brief 
                         descrition of the techniques used for processing the remote 
                         sensing and field data to obtain the different sensitivity indexes 
                         and land use/land cover (LULC) classes. Second, we present the 
                         model that shows how field and secondary data (scientific 
                         literature, maps) are combined to the automated and visual image 
                         interpretation to derive the ESI and LULC maps. We also show 
                         typical database queries made possible by the way data have been 
                         modeled. Results indicate that geodatabase modeling can be used to 
                         identify data redundancy, conflicts between different data 
                         formats, and violation of geodatabase integrity, the latter being 
                         critical to the query process on spatial databases.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.20.17.27",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.17.27",
           targetfile = "2101.pdf",
                 type = "GIS para Aplica{\c{c}}{\~o}es Ambientais",
        urlaccessdate = "18 jun. 2024"
}