@InProceedings{WeckmüllerVice:2017:DeMuHí,
               author = "Weckm{\"u}ller, R{\^o}mulo and Vicens, Ra{\'u}l S{\'a}nchez",
                title = "Detec{\c{c}}{\~a}o de mudan{\c{c}}as h{\'{\i}}brida como 
                         aux{\'{\i}}lio para obten{\c{c}}{\~a}o das trajet{\'o}rias 
                         evolutivas da cobertura da terra",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "964--971",
         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 = "The need to know the history of land cover or evolutive 
                         trajectories of a landscape is critical to the decision-making 
                         bodies. This type of analysis provides knowledge landscape state, 
                         ie, if it is degraded, stable or intact, adding information to 
                         optimize land use and/or environmental planning. For this, the 
                         remote sensing is presented as an effective methodology due to the 
                         ease of obtaining historical data on large swathes of land through 
                         satellite images. Thus, this project aims to contribute on a new 
                         change detection method, by associating a pixel-based and 
                         object-based classifications (called hybrid change detection) as 
                         input to identify the evolutive trajectories of land cover. The 
                         study area corresponds to a satellite RapidEye scene, in a very 
                         dynamic area of the state of Rio de Janeiro in recent years, as a 
                         result of installation of a Petrochemical Complex (COMPERJ). Among 
                         the identified trajectories and sorted by object-oriented analysis 
                         and the use of multi-temporal descriptors, the vector 
                         transformation pasture to anthropic, called anthropization, was 
                         the most prevailing in the study area. Enhancements within the 
                         same class were also identified, notably in the anthropic class 
                         (densification of works of the petrochimical complex) and in the 
                         urban class also called urbanization (densification of 
                         domicialiares blocks).",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59227",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4FT6",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FT6",
           targetfile = "59227.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da terra",
        urlaccessdate = "27 abr. 2024"
}