@InProceedings{SilvaRang:2017:AvTeSu,
               author = "Silva, Fabricio Sousa da and Rangel, Mauricio Eduardo Salgado",
                title = "Avalia{\c{c}}{\~a}o da temperatura superficial terrestre do 
                         munic{\'{\i}}pio de S{\~a}o Lu{\'{\i}}s/MA usando imagens dos 
                         sensores TM/LANDSAT-5 e OLI/LANDSAT-8",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3515--3522",
         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 = "Remote sensing is a prominent tool in thermal monitoring of the 
                         Earth''s surface, particularly in locations where there are no 
                         weather stations to monitor thermal changes, as in many places in 
                         Brazil. This research analyzes the behavior of the Earth''s 
                         surface temperature (TST) in S{\~a}o Lu{\'{\i}}s, 
                         Maranh{\~a}o, from Landsat TM5 and OLI8 / OLI orbital sensors for 
                         the years 1999, 2005, 2010 and 2015. The results show a mean 
                         thermal variation in Each class of Use and occupation and also 
                         showed a relation between the change in vegetation rates and 
                         increase of TST. Urban areas and exposed soils appear in all 
                         analyzed years as classes with higher thermal mean and that have 
                         interference in sensitive environments such as vegetation and 
                         mangrove.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59431",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT4P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT4P",
           targetfile = "59431.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "27 abr. 2024"
}