@InProceedings{GonçalvesYatSanTreLaw:2010:MaSuSt,
               author = "Gon{\c{c}}alves, Fabio G. and Yatskov, Mikhail and Santos3, 
                         Jo{\~a}o Roberto dos and Treuhaft, Robert N. and Law, Beverly 
                         E.",
          affiliation = "Jet Propulsion Laboratory, California Institute of Technology, 
                         Pasadena, CA 91109, USA and Department of Forest Ecosystems and 
                         Society, Oregon State University, Corvallis, OR 97331, USA and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and Jet 
                         Propulsion Laboratory, California Institute of Technology, 
                         Pasadena, CA 91109, USA and Department of Forest Ecosystems and 
                         Society, Oregon State University, Corvallis, OR 97331, USA",
                title = "Mapping successional stages in a wet tropical forest using landsat 
                         etm+ and forest inventory data mapeamento dos est{\'a}gios 
                         sucessionais em uma floresta tropical {\'u}mida usando landsat 
                         etm+ e dados de invent{\'a}rio florestal",
            booktitle = "Anais...",
                 year = "2010",
                pages = "584--589",
         organization = "Semin{\'a}rio de atualiza{\c{c}}{\~a}o em Sensoriamento Remoto 
                         e Sistemas de Informa{\c{c}}{\~o}es Geogr{\'a}ficas aplicados 
                         {\`a} Engenharia Florestal, 9.",
            publisher = "FUPEF-UNICENTRO",
             keywords = "Remote sensing, monitoring, NDVI, forest structure, entropy.",
             abstract = "In this study, we test whether an existing classification 
                         technique based on the integration of Landsat ETM+ and forest 
                         inventory data enables detailed characterization of successional 
                         stages in a wet tropical forest site. The specific objectives 
                         were: (1) to map forest age classes across the La Selva Biological 
                         Station in Costa Rica; and (2) to quantify uncertainties in the 
                         proposed approach in relation to field data and existing 
                         vegetation maps. Although significant relationships between 
                         vegetation height entropy (a surrogate for forest age) and ETM+ 
                         data were detected, the classification scheme tested in this study 
                         was not suitable for characterizing spatial variation in age at La 
                         Selva, as evidenced by the error matrix and the low Kappa 
                         coefficient (12.9%). Factors affecting the performance of the 
                         classification at this particular study site include the smooth 
                         transition in vegetation structure between intermediate and 
                         advanced successional stages, and the low sensitivity of NDVI to 
                         variations in vertical structure at high biomass levels.",
  conference-location = "Curitiba",
      conference-year = "2010",
                 isbn = "21788634",
                label = "lattes: 1646956319628219 3 BispoValeSant:2010:GeLoDe",
             language = "pt",
           targetfile = "goncalves mapping.pdf",
        urlaccessdate = "01 maio 2024"
}