@InProceedings{SantosSousFern:2011:MaCoTe,
               author = "Santos, F{\'a}bio Ventura dos and Sousa, Gustavo Mota de and 
                         Fernandes, Manoel do Couto",
          affiliation = "{Universidade Federal do Rio de Janeiro - UFRJ} and {Universidade 
                         Federal Rural do Rio de Janeiro - UFRRJ} and {Universidade Federal 
                         do Rio de Janeiro - UFRJ}",
                title = "Mapeamento da cobertura da terra da APA Petr{\'o}polis com a 
                         utiliza{\c{c}}{\~a}o da plataforma cognitiva InterIMAGE",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7471--7477",
         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 = "knowledge-based system, remote sensing, Alos, sistema baseado em 
                         conhecimento, sensoriamento remoto, Alos.",
             abstract = "Built in 1982, with an approximate total of 60,000 hectares, APA 
                         Petr{\'o}polis, the first Conservation Area (APA) in the country 
                         and second largest in the state of Rio de Janeiro, holds priceless 
                         historical and natural riches. The monitoring of this area with 
                         the help of thematic maps can be shown as an important resource 
                         for planning and decision making by their managers against the 
                         uncontrolled expansion of urban ocupation. With advances in remote 
                         sensing technologies and software capable of interpreting your 
                         images in an automated method, the production of these maps can 
                         become simplified. However, high costs attributed to software 
                         license and satellite imagery provided by some publishers may 
                         restrict access to these technologies. Thus, this study aims to 
                         find alternatives that allow the use of remote sensing through of 
                         free software InterIMAGE, developed by the Laboratory of Vision 
                         Computer - LVC / PUC-Rio in conjunction with the Division of Image 
                         Processing DPI / INPE, and images AVNIR sold affordable by the 
                         IBGE. From the construction of a semantic net modeled on a 
                         knowledge-based system, proved the viability of producing thematic 
                         maps concerning the use and land cover, which enable the analysis 
                         of various landscape components as the forest fragments . The 
                         methodology showed relevant results to identify the classes of 
                         forested areas (trees and undergrowth) and shadow areas. The 
                         classes of urban areas, rocky outcrops and cloud, however, have 
                         yielded conflicting results, requiring improvement through the use 
                         of visual interpretation techniques.",
  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/3A5HRQ8",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A5HRQ8",
           targetfile = "p0767.pdf",
                 type = "Uso e Cobertura da Terra",
        urlaccessdate = "16 jun. 2024"
}