@InProceedings{SilveiraJrJúniSilv:2017:AnCoGe,
               author = "Silveira Junior, Carlos Roberto da and J{\'u}nior, Laerte 
                         Guimar{\~a}es Ferreira and Silva, Bernardo Barbosa da",
                title = "An{\'a}lise da corre{\c{c}}{\~a}o geom{\'e}trica por meio de 
                         fun{\c{c}}{\~a}o de reflet{\^a}ncia bidirecional da 
                         superf{\'{\i}}cie em dados de sat{\'e}lite 
                         geoestacion{\'a}rio",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "438--445",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The monitoring of land cover through geostationary satellite 
                         sensing images allows greater temporal resolution compared to 
                         polar satellites, providing additional information about 
                         phenology. However, the bands of red and near infrared, used to 
                         obtain much of the environmental index, have anisotropic 
                         reflectance characteristics such that the value is dependent of 
                         the geometry of observation and vegetation cover. For both are 
                         used correction techniques to eliminate this interference, 
                         refining the result, however have some limitations. This study 
                         evaluated the geometric correction using the BRDF (Bidirectional 
                         Reflectance Distribution Function) for obtaining NDVI (Normalized 
                         Difference Vegetation Index) daily by data coming from the sensor 
                         SEVIRI (Spinning Enhanced Visible and Infrared Imager) of 
                         satellite geostationary Meteosat-10, for the state of Goi{\'a}s. 
                         In an evaluation for samples for classes of annual agricultural 
                         and pasture NDVI BRDF showed different from maximum, lower and 
                         average day NDVI (paired t-test, p <0.001), but is highly 
                         correlated (r²> 0.8). The calculation of the BRDF may be an 
                         obstacle to the use of high temporal resolution geostationary 
                         satellites, because requirement of number of samples per pixel and 
                         miscalculation (about 30%); however, there are alternatives that 
                         may reduce the effect of these limitations like filtering NDVI and 
                         solar azimuth angle values and use BRDF calculation parameters 
                         obtained from a previous day.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59217",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44AP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44AP",
           targetfile = "59217.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}