@InProceedings{OliveiraTeix:2017:AnInCo,
               author = "Oliveira, Luana Thayza de and Teixeira, Jefferson Fernandes",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise da influ{\^e}ncia das corre{\c{c}}{\~o}es 
                         atmosf{\'e}rica e pela emissividade nos dados estimados de 
                         temperatura da superf{\'{\i}}cie",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6059--6066",
         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 increasing availability of thermal sensing data has enabled 
                         studies aimed at the understanding of relationships between 
                         thermal processes and land surface temperature (LST). In this 
                         study, it was evaluated an atmospheric correction model proposed 
                         by Barsi (2003), which also includes the correction for the 
                         emissivity of the objects in scene, in an area of S{\~a}o 
                         Jos{\'e} dos Campos, SP. Results from processing TIRS / Landsat 8 
                         data showed differences of up to 10 °C between the surface 
                         temperature and estimated apparent temperatures. It was also noted 
                         that in different land use and land cover classes the effect of 
                         these corrections happen unevenly. Correcting only surface 
                         emissivity showed less influences over the entire area, despite 
                         higher differences was observed on bare soil areas, since its 
                         emissivity value is the fewer compared to other classes. 
                         Otherwise, correcting only the atmospheric effects resulted in 
                         higher influences in LST values for all classes, mainly for urban 
                         and bare soil. Finally, the complete correction, which considers 
                         both atmospheric and emissivity effects, impacts significantly the 
                         temperature values, producing higher values compared to the other 
                         corrections. These results highlight the importance of these 
                         corrections in studies focused on temperature dynamics generated 
                         by changes in land use.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59864",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMC8D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC8D",
           targetfile = "59864.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da terra",
        urlaccessdate = "27 abr. 2024"
}