@InProceedings{AffonsoValeBati:2005:CaFiVe,
               author = "Affonso, Adriana Gomes and Valeriano, Dalton de Morisson and 
                         Batista, Get{\'u}lio Teixeira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Caracteriza{\c{c}}{\~a}o de fisionomias vegetais na 
                         Amaz{\^o}nia oriental atrav{\'e}s de videografia 
                         aerotransportada e imagens derivadas do Modelo Linear de Mistura 
                         Espectral do sensor ETM+ do Landsat 7",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1399--1406",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "videografia, modelo linear de mistura espectral, 
                         vegeta{\c{c}}{\~a}o, Amaz{\^o}nia, videography, linear spectral 
                         mixing model, vegetation.",
             abstract = "The aim of this work is to evaluate the spectral response of 
                         several vegetation physiognomies in the municipality of Maraba, 
                         Para, in relation to the proportion of vegetation, shadow and soil 
                         components derived through the Linear Spectral Mixing Model 
                         (LSMM), through the Shadow percent measured in the videographic 
                         products and the comparison of the Shadow component with the 
                         Shadow percent measured in videography. Based on the videography, 
                         five types of vegetation physiognomies were identified: Upland 
                         Forest, Floodplain Forest, Secondary forest, Babacu Forest and 
                         Grassland. The results demonstrated the percentage of shadow in 
                         the videographic data allowed only the differentiation of Babacu 
                         Forest from the remaining classes. The Shadow component of the 
                         linear mixing model was the most efficient product for the 
                         discrimination of the vegetal physiognomies, allowing the 
                         discrimination among all the classes but between Grassland and 
                         Secondary forest. This result reassures the potential of LSMM to 
                         the study of natural vegetation cover in Tropical Forest 
                         Regions.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.20.20.47",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.20.47",
           targetfile = "1399.pdf",
                 type = "Floresta",
        urlaccessdate = "26 abr. 2024"
}