@InProceedings{QuirinoJúCaSoMeEv:2017:BaHíCl,
               author = "Quirino, Dayanna Teodoro and J{\'u}nior, Jos{\'e} Alves 
                         J{\'u}nior and Casaroli, Derblai and Souza, Jo{\~a}o 
                         Maur{\'{\i}}cio Fernandes and Mesquita, Marcio and Evangelista, 
                         Ad{\~a}o Wagner P{\^e}go",
                title = "Balan{\c{c}}o h{\'{\i}}drico climatol{\'o}gico da cultura da 
                         cana-de-a{\c{c}}{\'u}car via sensoriamento remoto em Santo 
                         Ant{\^o}nio de Goi{\'a}s-Go",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3339--3346",
         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 climatic water balance is an important tool for agricultural 
                         planning and can also be adjusted to monitor the deficit and 
                         surplus water for purposes of irrigation. For its preparation, 
                         there is need for input and output of water in the system, 
                         rainfall and evapotranspiration, respectively, as well as plant 
                         and soil data. This study aimed to compare the water balance of 
                         the culture of sugarcane cultivation in Santo Ant{\^o}nio de 
                         Goi{\'a}s, using estimated rainfall data and evapotranspiration 
                         by remote sensing with the water balance made via automatic 
                         weather station data. The study was conducted in sugarcane ratoon 
                         cycle, 2014/2015 crop in rainfed crop. The rainfall data were 
                         obtained from satellite TRMM algorithm 3B42 Version 7, 
                         evapotranspiration was estimated by SAFER algorithm by means of 
                         the satellite Landsat 8 images and precipitation records were 
                         obtained from the meteorological station of EMBRAPA - Rice and 
                         Beans located in San Antonio municipality Goias. To calculate the 
                         water balance was used the methodology proposed by Thornthwaite 
                         and Mather. Rainfall estimated by TRMM showed Pearson correlation 
                         of 0.96, concordance index of 0.91. In the rainy season the ET 
                         ranged from 2.07 to 4.41 mm and the dry period showed variability 
                         from 1.13 to 3.17 mm. The estimate of the actual daily 
                         evapotranspiration by SAFER algorithm and precipitation by 
                         satellite TRMM 3B42 Version 7 are promising tools for monitoring 
                         and timeline planning large areas of agricultural production.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59846",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSP5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSP5",
           targetfile = "59846.pdf",
                 type = "Monitoramento agr{\'{\i}}cola",
        urlaccessdate = "08 maio 2024"
}