@InProceedings{RossatoJeuAlva:2011:AvTeSu,
               author = "Rossato, Luciana and Jeu, Richard de and Alval{\'a}, Regina 
                         C{\'e}lia dos Santos",
          affiliation = "{Instituto Nacional de Pesquisas - INPE} and {Vrije Universiteit 
                         Amsterdam - VU} and {Instituto Nacional de Pesquisas Espaciais - 
                         INPE}",
                title = "Avalia{\c{c}}{\~a}o da temperatura de superf{\'{\i}}cie 
                         terrestre sobre a Am{\'e}rica do Sul derivada do",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "9181--9186",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "brigthness temperature, passive microwave, Land Parameter 
                         Retrieval Model, Soil Moisture.",
             abstract = "Land surface temperature (LST) is an important parameter in a 
                         variety of environmental studies, especially in climate modeling. 
                         The traditional technique to measure the surface temperature from 
                         satellite is the thermal infrared. However, a great disadvantage 
                         of this technique is that clouds and other atmospheric phenomena 
                         can disrupt and often completely mask the signal. Therefore, the 
                         passive microwave remote sensing is a more promising tool, since 
                         it affects the atmosphere much less in the microwave signal. 
                         According to previous studies, vertical brightness temperature in 
                         37 GHz has a potential to estimate the surface temperature, since 
                         the precipitate water in the atmosphere not influence 
                         significantly on this band and does not need any additional 
                         correction. Based on these considerations, Owe et al. (2001) found 
                         a link between the observations at frequency of 37 GHz vertically 
                         polarized and soil temperature. From this relationship, land 
                         surface temperature derived from AMSR-E (Advanced Microwave 
                         Scanning Radiometer) sensor observations was estimated by Land 
                         Parameter Retrieval Model (LPRM). For comparison, observations in 
                         situ and MODIS (Moderate Resolution Imaging Spectroradiometer) 
                         data on board Aqua satellite over South America were used. The 
                         results showed good agreement between satellite products, showing 
                         high correlation. From these results we concluded that the 
                         methodology proposal by Owe et al. has a strong potential to 
                         retrieve reliable land surface temperature.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/39ULQE2",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39ULQE2",
           targetfile = "p0199.pdf",
                 type = "Meteorologia, Atmosfera e Agrometeorologia",
        urlaccessdate = "03 maio 2024"
}