@InProceedings{MenezesAndSedSoaGle:2011:EsCoBa,
               author = "Menezes, Sady J{\'u}nior Martins Costa de and Andrade, Ricardo 
                         Guimar{\~a}es and Sediyama, Gilberto Chohaku and Soares, Vicente 
                         Paulo and Gleriani, Jos{\'e} Marinaldo",
          affiliation = "{Universidade Federal de Vi{\c{c}}osa – UFV} and {Embrapa 
                         Monitoramento por Sat{\'e}lite} and {Universidade Federal de 
                         Vi{\c{c}}osa – UFV} and {Universidade Federal de Vi{\c{c}}osa – 
                         UFV} and {Universidade Federal de Vi{\c{c}}osa – UFV}",
                title = "Estimativa dos componentes do Balan{\c{c}}o de Energia e da 
                         Evapotranspira{\c{c}}{\~a}o em Plantios de Eucalipto utilizando 
                         o algoritmo SEBAL e imagem Landsat 5 – TM",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5394--5401",
         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 = "eucalyptus plantation, energy fluxes, remote sensing, plantio de 
                         eucalipto, fluxos de energia, sensoriamento remoto.",
             abstract = "Climatic variables are essential for understanding the 
                         environmental conditions that influence plant growth and 
                         development. In recent years research using climatic data and 
                         remote sensing techniques in spatial and temporal analyses of the 
                         demand for water and energy in plants has been intensified. SEBAL 
                         (Surface Energy Balance Algorithms for Land) is one of the most 
                         prominent algorithms for studies involving energy flow estimates 
                         in large areas, and it can be applied with few field measurements. 
                         This work, conducted in the municipality of Santa B{\'a}rbara, 
                         Minas Gerais state, Brazil, aimed at estimating energy balance 
                         components, and therefore the evapotranspiration in eucalyptus 
                         plantations by applying the SEBAL algorithm and Landsat 5 
                         satellite's TM sensor image. Estimates have been made for a scene 
                         from day 06/20/2003. Considering only the areas related to the 
                         seven year-old eucalyptus plantations, average values of net 
                         radiation (Rn), soil heat flux (G), sensible heat flux (H) and 
                         latent heat flux (LE) of 420.12 W m-2, 81.80 W m-2, 149.93 W m-2, 
                         188.39 W m-2 respectively were obtained. For actual hourly 
                         evapotranspiration (ETrh), the average value obtained was 0.28 mm 
                         h-1. The estimates are consistent with literature data, however, 
                         future studies with greater experimental control should be carried 
                         out.",
  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/3A49325",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A49325",
           targetfile = "p0734.pdf",
                 type = "An{\'a}lise Florestal e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "23 maio 2024"
}