@InProceedings{ConceiçãoSouzSpanMati:2017:EsSãPa,
               author = "Concei{\c{c}}{\~a}o, Adriana Fantinati and Souza, Denivaldo 
                         Ferreira de and Spanghero, Pedro Enrico Salamim Fonseca and 
                         Matias, Lindon Fonseca",
                title = "An{\'a}lise da temperatura de brilho por meio de imagens termais 
                         do Landsat-8 na {\'A}rea de Prote{\c{c}}{\~a}o Ambiental 
                         Tiet{\^e} - Estado de S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2524--2531",
         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 objective of this work was to analyze the brightness 
                         temperature in the Tiet{\^e} Environmental Protection Area, 
                         located in the western region of the State of S{\~a}o Paulo, 
                         through satellite thermal images. For the study area, the 
                         Normalized Difference Vegetation Index (NDVI) was also used to 
                         compare the brightness temperature information in sites with 
                         higher and lower vegetation cover. Two images of the Landsat-8 
                         satellite, OLI and TIRS sensors, were acquired near the site of 
                         the US Geological Survey (USGS) in March and April 2016. The 
                         methodology used to obtain the brightness temperature was 
                         indicated in the USGS manual (2016) for users of Landsat-8 
                         satellite images. Meteorological data of the automatic stations 
                         made available on the website of the National Institute of 
                         Meteorology (INMET) were used to compare the results obtained by 
                         satellite images. When analyzing the NDVI images with the 
                         brightness temperature, it was observed that where there was 
                         little or no vegetation cover the brightness temperature was 
                         higher, these areas being represented by the urbanization in the 
                         central area and the regions near the limit of the APA being 
                         represented by exposed soil. In areas where there was a dense 
                         vegetation cover, that is, NDVI higher, the values of brightness 
                         temperature were lower.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59829",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQP2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQP2",
           targetfile = "59829.pdf",
                 type = "Meteorologia e climatologia",
        urlaccessdate = "28 abr. 2024"
}