@InProceedings{ManjolinGrNoBaTrSa:2017:VaEsFe,
               author = "Manjolin, Rodolfo Correa and Grego, Celia Regina and Nogueira, 
                         Sandra Furlan and Bayma-Silva, Gustavo and Trabaquini, Kleber and 
                         Sanches, Ieda Del Arco",
          affiliation = "{} and {} and {} and {} and {} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Variabilidade espacial da fertilidade, carbono e nitrog{\^e}nio 
                         do solo em {\'a}reas de pastagem e cana-de-a{\c{c}}{\'u}car no 
                         estado de S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7163--7170",
         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 spatial variability of soil and plant properties has been a 
                         concern of researchers, since the variation of any phenomenon in 
                         space or time, whether caused by natural processes or by 
                         man-imposed actions, has always existed and need considered. The 
                         objective was relate spatial variability of chemical attributes, 
                         including carbon and nitrogen, to pasture and sugarcane areas in 
                         the west of the state of S{\~a}o Paulo. A total of 36 points were 
                         sampled in the west of the state of S{\~a}o Paulo in areas of 
                         pasture and sugar cane. For each point were collected soil 
                         chemical data at depth of 0 cm to 30 cm in March 2015. For 
                         identification of spatial dependence, data interpolation and for 
                         the elaboration of the maps, the geostatistical analysis was used 
                         including adjustment of the semivariogram. To relate the maps of 
                         soil chemical attributes interpolated by geostatistical and 
                         kriging with grazing and sugarcane areas, the land use map was 
                         obtained. There was spatial dependence for the chemical attributes 
                         analyzed and the ranges of values showed soil-related variability. 
                         The highest values of nutrients, carbon and nitrogen in the areas 
                         of sugarcane production, evidencing the positive effect of crop 
                         management on the soil when compared to pasture areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59567",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMF8G",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF8G",
           targetfile = "59567.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}