@InProceedings{AbeTempSilv:2017:EsVuAm,
               author = "Abe, Camila Andrade and Temporim, Filipe Alto{\'e} and Silva, 
                         Guilherme Gregorio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estudo de Vulnerabilidade Ambiental nas Zonas em Expans{\~a}o 
                         Urbana de S{\~a}o Jos{\'e} dos Campos-SP, usando o m{\'e}todo 
                         h{\'{\i}}brido de classifica{\c{c}}{\~a}o de imagens",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "32--39",
         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 = "Empirical Analysis of Fragility of Natural Environments (EAFNE) 
                         gives support to the territorial planning of areas in the urban 
                         expansion process. Once the EAFNE method is sensitive to land use 
                         and land cover data, it is necessary that this type of mapping is 
                         highly accurate. Given the high level of accuracy that can be 
                         obtained on land use/land cover mapping by applying the hybrid 
                         method of digital images classification, in this paper we aimed to 
                         verify the effects of the hybrid method on EAFNE. The comparison 
                         between the maps of Potential and Emerging Vulnerability generated 
                         from a land use/land cover map classified by automatic 
                         classification (global accuracy: 88%) and the maps of Potential 
                         and Emerging Vulnerability generated from a land use/land cover 
                         maps classified using the hybrid method (global accuracy: 97%) 
                         shows that the use of the hybrid method for the classification of 
                         land use/land cover maps lead to different percentages of areas 
                         classified in levels of environmental instability, which can 
                         result in restriction of land use/land cover of some areas to be 
                         over or under estimated.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59214",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS433L",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS433L",
           targetfile = "59214.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}