@InProceedings{NicácioRotFraPaiLib:2009:EvReUt,
               author = "Nic{\'a}cio, Rosilene Mendon{\c{c}}a and Rotunno Filho, Otto 
                         Corr{\^e}a and Fran{\c{c}}a, Gutemberg Borges and Paiva, 
                         C{\'e}lia Maria and Libos, Michely",
          affiliation = "UFAL/AL and UFRJ/RJ and UFRJ/RJ and UFRJ/RJ and CEFET-CAMPOS/RJ",
                title = "Evapotranspira{\c{c}}{\~a}o real utilizando a fra{\c{c}}{\~a}o 
                         de refer{\^e}ncia na regi{\~a}o semi-{\'a}rida da bacia 
                         hidrogr{\'a}fica do rio S{\~a}o Francisco",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4781--4788",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, actual evapotranspiration, 
                         SEBAL, TM sensor, sensoriamento remoto, processamento de imagem, 
                         evapotranspira{\c{c}}{\~a}o real, SEBAL, sensor TM.",
             abstract = "The availability of data from evapotranspiration on a regional 
                         scale is important with regard to rainfall-runoff models and to 
                         weather and climate models. These models are essential in 
                         activities such as those conducted by the National Electrical 
                         System Operator (ONS). Under this framework, this research work 
                         focuses on the estimation of daily actual evapotranspiration in 
                         the region of Petrolina/Juazeiro. The algorithm SEBAL (Surface 
                         Energy Balance for Land) was used. The SEBAL requires visible, 
                         near infrared and thermal infrared data, which were obtained of 
                         the TM - Landsat 5 sensor, and limited input data from the field 
                         (air temperature and wind velocity). Therefore in this work were 
                         utilized more data meteorological due to the calculation of 
                         reference evapotranspiration (FAO 56 method). The results showed 
                         both the complexity of the spatial distribution of daily actual 
                         evapotranspiration and concordance with results found in the 
                         literature. The spatial variability of the actual 
                         evapotranspiration showed consistency with the land use and land 
                         cover dataset while the temporal variability is associated with 
                         the occurrence of the rainfall. The spatial distribution of 
                         rainfall was responsible for different responses in the 
                         partitioning of energy and radiation flux that allowed spatial 
                         variations in daily actual evapotranspiration. These results show 
                         that spectral data of remote sensing associated with data from 
                         field allow the coherent estimation of daily actual 
                         evapotranspiration.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.21.52",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.21.52",
           targetfile = "4781-4788.pdf",
                 type = "Hidrologia",
        urlaccessdate = "30 jun. 2024"
}