@InProceedings{Namikawa:2013:EsInMo,
               author = "Namikawa, La{\'e}rcio Massaru",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estimativa da Incerteza de um Modelo Digital de 
                         Eleva{\c{c}}{\~a}o por Meio de uma An{\'a}lise de Agrupamento",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4616--4623",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This paper presents a method to define the distribution of 
                         clusters of statistically high values of uncertainty in a DEM 
                         using Cluster Analysis. The method requires that more than one DEM 
                         be available for the area. If there are more than one value for 
                         the same position, a statistical analysis can be executed and used 
                         to create a map with clusters of high and low uncertainty in 
                         elevation values. The main applications of the generated map are 
                         the ones where simulations are executed and different scenarios 
                         are compared to support decision-making. The simulation results 
                         can be analyzed with the uncertainty map to indicate if the 
                         results are reliable or if a better DEM should be used. In 
                         addition, the uncertainty map may indicate that the critical areas 
                         are related to areas of low uncertainty; therefore, even if the 
                         map quality is not good overall, it is good in the critical areas. 
                         The study case is the DEM of a region in Sao Paulo State in 
                         Brazil, with heterogeneous terrain features. The uncertainty maps 
                         is created using SRTM, ASTER G-DEM and IBGE elevation data.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1692",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GMQE",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GMQE",
           targetfile = "p1692.pdf",
                 type = "Geoprocessamento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "08 maio 2024"
}