@Article{GonçalvesYatSanTreLaw:2010:ReLAET,
               author = "Gon{\c{c}}alves, F{\'a}bio Guimar{\~a}es and Yatskov, Mikhail 
                         and Santos, Joao Roberto dos and Treuhaft, Robert 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 
                         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",
                title = "Relating LANDSAT ETM+ and forest inventory data for mapping 
                         successional stages in a wet tropical forest",
              journal = "Ambi{\^e}ncia",
                 year = "2010",
               volume = "6",
               number = "Espec",
                pages = "167--174",
                 note = "Setores de Atividade: Produ{\c{c}}{\~a}o Florestal, Pesquisa e 
                         desenvolvimento cient{\'{\i}}fico.",
             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 tropical wet 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 hight 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 (0.129). Factors affecting the performance of the 
                         classification at this particular study site include the smooth 
                         transition in vegetation structure between intermediate and late 
                         successional stages, and the low sensitivity of NDVI to variations 
                         in vertical structure at high biomass levels. Resumo Nesse estudo, 
                         testamos se uma t{\'e}cnica de classifica{\c{c}}{\~a}o 
                         existente, baseada na integra{\c{c}}{\~a}o de imagens LANDSAT 
                         ETM+ e os dados de invent{\'a}rio florestal, permite a 
                         caracteriza{\c{c}}{\~a}o detalhada dos est{\'a}dios 
                         sucessionais em uma {\'a}rea de floresta tropical {\'u}mida. Os 
                         objetivos espec{\'{\i}}ficos foram: (1) mapear classes de idade 
                         florestal na Esta{\c{c}}{\~a}o Biol{\'o}gica La Selva, na Costa 
                         Rica, e (2) quantificar as incertezas da abordagem proposta em 
                         rela{\c{c}}{\~a}o aos dados de campo e mapas de 
                         vegeta{\c{c}}{\~a}o existente. Apesar de terem sido detectadas 
                         rela{\c{c}}{\~o}es significativas entre dados ETM+ e medidas de 
                         entropia da altura da vegeta{\c{c}}{\~a}o (um substituto para a 
                         idade florestal) o sistema de classifica{\c{c}}{\~a}o testados 
                         nesse estudo n{\~a}o se demonstrou adequado para caracterizar a 
                         varia{\c{c}}{\~a}o espacial em idade em La Selva, como 
                         evidenciado pela matriz de erro e o baixo coeficiente Kappa 
                         (0,129). Fatores que afetam o desempenho da 
                         classifica{\c{c}}{\~a}o {\'a}rea de estudo em particular, 
                         incluem a alta similaridade estrutural entre os est{\'a}dios 
                         sucessionais intermedi{\'a}rio e avan{\c{c}}ado, e a baixa 
                         sensibilidade do NDVI a varia{\c{c}}{\~o}es na estrutura 
                         vertical da biomassa em {\'a}reas com n{\'{\i}}veis elevados de 
                         biomassa.",
                 issn = "1808-0251",
                label = "lattes: 1646956319628219 3 
                         Gon{\c{c}}alvesYatSanTreLaw:2010:ReLAET",
             language = "en",
           targetfile = "joao.pdf",
        urlaccessdate = "01 maio 2024"
}