@InProceedings{PinheiroRamiManz:2017:AnEsSi,
               author = "Pinheiro, Mirian Paula Medeiros Andre and Ramires, Thiago and 
                         Manzione, Rodrigo Lilla",
                title = "An{\'a}lises estat{\'{\i}}sticas da similaridade entre dados 
                         agrometeorol{\'o}gicos de superf{\'{\i}}cie e obtidos por 
                         sensores remotos orbitais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1635--1642",
         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 = "In agriculture, monitoring of rainfall and evapotranspiration are 
                         important for a good agricultural planning, as they are the main 
                         forms of input and output water plant-water-soil system. weather 
                         surface stations are the traditional way to obtain this 
                         information. However, with the advancement and popularization of 
                         remote sensing is much discussion about how these products can 
                         help the activities within agricultural areas. This work studied 
                         the application of meteorological stations data and TRMM and MODIS 
                         satellites to precipitation and evapotranspiration estimates, 
                         respectively, in the Ecological Station of Avare (EEcAv). The 
                         study area is located in the city of Avare-SP, located in the 
                         state southwest region, with a land area of approximately 709 ha. 
                         Two sets of data monitored between January 2004 to December 2013 
                         were analyzed statistically as the similarity of their 
                         distributions through scatter plots, linear correlation analysis, 
                         distribution functions of probability and simple linear 
                         regression. The results show that the data acquired by the TRMM 
                         satellite and the MOD16 sensor offer a good agreement with surface 
                         data, and their differences acceptable for land planning purposes 
                         for irrigation and drainage control in agricultural areas. For 
                         specific management practices, such as applications of irrigation 
                         water, one should be cautious in adopting certain data, taking 
                         into account the type of rainfall, climate conditions and size of 
                         the property.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59240",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLP39",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLP39",
           targetfile = "59240.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}