@InProceedings{OscoMarcRamoCres:2017:AnCoMé,
               author = "Osco, Lucas Prado and Marcato Junior, Jos{\'e} and Ramos, Ana 
                         Paula Marques and Creste, Jos{\'e} Eduardo",
                title = "An{\'a}lise comparativa entre m{\'e}todos de 
                         corre{\c{c}}{\~a}o atmosf{\'e}rica de imagem Landsat 8 para a 
                         extra{\c{c}}{\~a}o da Temperatura de Superf{\'{\i}}cie e do 
                         {\'{\I}}ndice de Vegeta{\c{c}}{\~a}o por Diferen{\c{c}}a 
                         Normalizada",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2153--2160",
         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 = "This paper aims to determine, for a Landsat 8 scene, values of 
                         NDVI (Normalized Difference Vegetation Index) and LST (Land 
                         Surface Temperature) derived from different products. The NDVI and 
                         LST were calculated using the Top-of-Atmosphere reflectance (ToA) 
                         and the atmospherically corrected surface reflectance by the DOS1 
                         method. As reference, a surface reflectance value provided by the 
                         USGS (United States Geological Survey) was adopted. In order to 
                         generate the products, the Land Surface Temperature and 
                         Semi-Automatic Classification plug-ins installed in the software 
                         QGIS were used. We used the bands 4 and 5 from OLI sensor for the 
                         NDVI and band 10 from sensor TIRS for the LST. Fifty points were 
                         chosen randomly throughout the scene to store the values of the 
                         pixels in order to be compared with each other. When comparing the 
                         ToA and DOS1 results with the surface reflectance values provided 
                         by the USGS, the determination coefficient (r˛) was equal to: a) 
                         0.9647 for the NDVI and 0.9891 for the LST when estimated with the 
                         reflectance at the Top of the Atmosphere (ToA), and; b) 0; 9901 
                         for NDVI and 0.9986 for LST obtained with the product 
                         atmosphericly corrected by DOS1. In reason of the influence from 
                         the different methods applied, we recommend that future works use 
                         the methods described here alongside data containing different 
                         atmospheric conditions.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59473",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQ45",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ45",
           targetfile = "59473.pdf",
                 type = "Corre{\c{c}}{\~a}o atmosf{\'e}rica",
        urlaccessdate = "27 abr. 2024"
}