@InProceedings{CintraFern:2017:MoCoAp,
               author = "Cintra, Danielle Pereira and Fernandes, Manoel do Couto",
                title = "Modelagem do conhecimento aplicada {\`a} an{\'a}lise da 
                         vegeta{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3507--3514",
         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 significant forest fragmentation present in the Atlantic 
                         Forest, caused by human or natural actions, results in massive 
                         changes in ecosystems and the impossibility of permanence and 
                         survival of many species. Then it becomes necessary studies on the 
                         structure and distribution of forest remnants, with purpose of 
                         concrete actions, especially in areas considered at risk. The aim 
                         of this work is to contribute to a method for evaluate forest 
                         fragments by determining the vegetation structure quality, through 
                         knowledge modeling with the support of geoecology and Geographic 
                         object-based image analysis (GEOBIA) using the river basin Cuiaba, 
                         Petropolis, RJ as a model area. For the development of the 
                         methodology were used one WorldView-II image, a Digital Elevation 
                         Model Hydrologically Consistent (MDEHC) and vector data of the 
                         study site at 1:10.000. The application of normalized difference 
                         vegetation index (NDVI) was used in order to delimitate forest 
                         fragments The Geoecological variables were generated to help the 
                         evaluation of the vegetation structure quality, taking into 
                         account the field sampling. With the view to modeling the 
                         vegetation structure quality in InterIMAGE software was performed 
                         the average value of NDVI and annual global radiation (Wh/m2), 
                         presented with best results. All analyzed fragments showed more 
                         than 50% of their areas with medium quality vegetation, and only 
                         three fragments showed high quality areas, ranging from 7.3 to 
                         19.4%. These data are compatible with field sampling, 
                         demonstrating the potential of the methodology used that can be 
                         replicated to other areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59772",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT4D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT4D",
           targetfile = "59772.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}