@InProceedings{SiqueiraLimaSouz:2017:AnQuVa,
               author = "Siqueira, Rafael Gomes and Lima, Vinicio Coelho and Souza, 
                         Jos{\'e} Jo{\~a}o Lelis Leal de",
                title = "An{\'a}lise quantitativa da variabilidade espacial da densidade 
                         de drenagem com o estimador de densidade de Kernel em ambiente 
                         SIG",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "166--173",
         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 = "Defined as the ratio between length of streams and the basin area, 
                         the drainage density is recognized as one of the most important 
                         morphometric variables in the environmental and hydrological 
                         analysis in watersheds. This variable depicts the drainage network 
                         efficiency in relief dissection and sediment transport. However, 
                         the use of drainage density is still limited because operational 
                         and conceptual aspects lack of a suitable methodology, mainly to 
                         analysis of spatial variability this parameter. The diversity of 
                         mathematical alternatives applied in Geographic Information System 
                         - GIS environment brings in not comparable results with different 
                         quantitative values. Thus, we aimed to suggest a 
                         quanti-qualitatively consistent methodology for the analysis of 
                         spatial variability of drainage density. The River Basin Glory, 
                         State of Minas Gerais, was defined as study area. The drainage 
                         density was calculated using a kernel density estimator in SIG 
                         environment and subsequently the numerical values obtained were 
                         compared with the drainage density gained with the traditional 
                         method of Horton. The drainage density generated by the kernel 
                         method was satisfactory, qualitatively and quantitatively, to the 
                         River Basin Glory. The parameter allowed analyzing the spatial 
                         variability of drainage density, with the support consistent 
                         numerical values that contribute to the better understanding of 
                         the dynamics of river basins.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60107",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS43GG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43GG",
           targetfile = "60107.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}