@InProceedings{ReisRaSiBaDiMeJú:2015:AmImSe,
               author = "Reis, Aliny Aparecida dos and Raimundo, Marcel R{\'e}gis and 
                         Silva, Iasmim Louriene Gouveia and Batista, Anderson Pedro 
                         Bernardina and Diniz, Juliana Maria Ferreira de Sousa and Mello, 
                         Jos{\'e} Marcio de and J{\'u}nior, Fausto Weimar Acerbi",
                title = "Amostragens em imagens de sensoriamento remoto para a 
                         determina{\c{c}}{\~a}o da correla{\c{c}}{\~a}o entre 
                         caracter{\'{\i}}sticas dendrom{\'e}tricas e dados espectrais",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4699--4704",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Most studies that involve correlations between the spectral and 
                         the woods volume data do not consider the effect of the sampling 
                         window size. The aim of this study was to evaluate the effect of 
                         the sampling window size on the spectral data and analyze the 
                         correlations between the spectral and the woods volume data in a 
                         Cerrado Sensu Stricto fragment. The spectral data were collected 
                         from an image in the satellite Landsat 5 TM. The reflectance 
                         values of the pixels in TM1, TM2, TM3, TM4 and TM5 bands and in 
                         the NDVI and SR vegetation indices were collected considering 
                         three sizes of sampling window: 1 pixel, 3 x 1 pixels and 3 x 3 
                         pixels. A completely randomized design was considered in the 
                         experiment evaluation. To determine the relationship between the 
                         spectral and the volume data the Pearsons correlation coefficient 
                         was used. No significant effect of the sampling windows was 
                         observed in the reflectance values in TM1, TM2, TM3, TM4 and TM5 
                         bands nor in the NDVI and SR vegetation indices. The correlation 
                         coefficients for the 1 pixel window were slightly higher than the 
                         values obtained for the window 3 x 1 pixels and 3 x 3 pixels. 
                         Thus, the spectral information considered in the analysis were 
                         extracted from the 1 pixel window. The best correlation value was 
                         observed between the volume and the reflectance TM4 band.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "917",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4D6H",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4D6H",
           targetfile = "p0917.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}