@InProceedings{ToniolAmor:2017:EsCaBi,
               author = "Toniol, Alana Carla and Amore, Diogo de Jesus",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Valida{\c{c}}{\~a}o de uma Krigeagem Ordin{\'a}ria por meio do 
                         produto TRMM 3B43 de precipita{\c{c}}{\~a}o mensal: um estudo de 
                         caso para o Bioma Cerrado",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1762--1769",
         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 = "Biome Cerrado is characterized by its high inter-seasonal 
                         variability. Precipitation is an important feature of this biome, 
                         and such parameter can be spatialized from point-based samples. In 
                         such context, this study aimed to validate the Ordinary Kriging 
                         (OK) interpolation technique via the use of TRMM 3B43 monthly 
                         precipitation product. It also aimed to compare two geostatistical 
                         models (optimized and non-optimized OK interpolation), as well as 
                         evaluate errors associated with the correlation between in situ 
                         and orbital data. Scatterplots and Normalized Root Mean Square 
                         Errors (NRMSE) were created for the models statistical analysis. 
                         Uncertainty maps were also produced in order to verify the visual 
                         quality of the models. It has been found that there is high 
                         correlation between the TRMM product and the optimized OK 
                         interpolation model (R2=0.64, NRMSE=0.07,p-value<0.01). 
                         Considering data variance of non-optimized OK, only 20% of the 
                         pixels fell into the highest variance range (6000-7587). TRMM and 
                         in situ inherent errors influenced the calibration and validation 
                         of both geostatiscal models, however, both were located within the 
                         statistical significant range of 1%. Overall, TRMM 3B43 product 
                         proved efficient in predicting Biome Cerrado precipitation which 
                         allowing the validation of geostatistical modelling for that 
                         area.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59649",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLPA3",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPA3",
           targetfile = "59649.pdf",
                 type = "Recursos h{\'{\i}}dricos",
        urlaccessdate = "27 abr. 2024"
}