@InProceedings{Namikawa:2012:EsDEUn,
               author = "Namikawa, Laercio Massaru",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estimation of DEM Uncertainty Using Clustering Analysis",
            booktitle = "Proceedings...",
                 year = "2012",
                pages = "317--322",
         organization = "International Symposium on Spatial Accuracy Assessment in Natural 
                         Resources and Environmental Sciences, 10.",
            publisher = "UFSC",
             keywords = "digital elevation model, uncertainty, cluster analysis, SRTM, 
                         ASTER-GDEM.",
             abstract = "This paper presents a method to estimate the uncertainty in a DEM 
                         using Cluster Analysis. The method considers that there are always 
                         more than one DEM available for a specific area, therefore, a 
                         statistical analysis can be performed and used to create a map 
                         with clusters of high and low uncertainty in elevation. The 
                         resulting map is particularly important for simulation 
                         applications, where the simulation process can apply the 
                         uncertainty information to select the best DEM for a region and to 
                         define the spatial uncertainty of the simulated result. The method 
                         is tested in a region of Sao Paulo State in Brazil, with 
                         heterogeneous terrain features. The results show that the method 
                         can be used not only in simulation, but also to define geographic 
                         regions where data collection can be improved.",
  conference-location = "Florian{\'o}polis, SC",
      conference-year = "2012",
                label = "lattes: 0983590211329242 1 Namikawa:2012:EsDEUn",
             language = "pt",
           targetfile = "Namikawa_estimation.pdf",
        urlaccessdate = "30 abr. 2024"
}