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@InProceedings{SouzaGalvSant:2009:ÍnVeDe,
               author = "Souza, Alana Almeida de and Galv{\~a}o, L{\^e}nio Soares and 
                         Santos, Jo{\~a}o Roberto dos",
          affiliation = "Inpe/SP and Inpe/SP and Inpe/SP",
                title = "{\'{\I}}ndices de vegeta{\c{c}}{\~a}o derivados do sensor 
                         Hyperion/EO-1 para estimativa de par{\^a}metros 
                         biof{\'{\i}}sicos de fitofisionomias de Cerrado",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3095--3102",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "sensoriamento remoto hiperespectral, {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o, par{\^a}metros biof{\'{\i}}sicos, 
                         {\'a}rea basal, cerrado, savana.",
             abstract = "Multispectral remote sensing has been widely used to estimate 
                         structural parameters of vegetation. However, data collection by 
                         broadband systems may result in the loss of crucial information 
                         available in specific wavelengths. In this context, the advent of 
                         hyperspectal remote sensing has offered possibilities to overcome 
                         this limitation. One of the most common approaches to estimate 
                         vegetation parameters from remote sensing data is the use of 
                         statistical techniques to find empirical relationships between 
                         measured in situ biophysical parameters and spectral reflectance 
                         or derived vegetation indices. In this paper, 18 narrow-band 
                         vegetation indices, calculated from Hyperion/EO-1 data, were 
                         tested for estimating basal area of Cerrado physiognomies in the 
                         Piren{\'o}polis region, Goi{\'a}s state. Five physiognomies with 
                         different structural parameters were analyzed: campo limpo, campo 
                         sujo, cerrado sentido restrito, cerrad{\~a}o and mata seca 
                         semidec{\'{\i}}dua. Before spectral transformations, the 
                         Hyperion radiance image was converted into atmospherically 
                         corrected surface reflectance data using a MODTRAN-based approach. 
                         From the studied vegetation indices, the best correlation results 
                         with basal area were observed for VOG 1, VIg, SR, VARI, RENDVI, 
                         EVI and NDVI (positive association) and for PSRI and SIPI 
                         (negative association). Results showed the importance of 
                         narrow-band vegetation indices associated with leaf pigments and 
                         red edge in the Cerrado environment.",
      accessionnumber = "0",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.14.17.29",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/11.14.17.29",
           targetfile = "3095-3102.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "25 jan. 2021"
}


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