@Article{FelgueirasOCNRORSM:2018:FuBaGe,
               author = "Felgueiras, Carlos Alberto and Ortiz, Jussara de Oliveira and 
                         Camargo, Eduardo Celso Gerbi and Namikawa, La{\'e}rcio Massaru 
                         and Rosim, S{\'e}rgio and Oliveira, Jo{\~a}o Ricardo de Freitas 
                         and Renn{\'o}, Camilo Daleles and Sant'Anna, Sidnei Jo{\~a}o 
                         Siqueira and Monteiro, Ant{\^o}nio Miguel Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Fusion based on geostatistics to improve the altimetry accuracies 
                         of digital elevation models",
              journal = "Geoinformatics and Geostatistics: an Overview",
                 year = "2018",
               volume = "6",
               number = "2",
                pages = "1--7",
             keywords = "Elevation data fusion, Digital elevation modeling, DEM accuracy, 
                         Geostatistics, Kriging, Co-kriging.",
             abstract = "Fusions based on geostatistical methods are used in this article 
                         to improve the accuracy of the altimetry attribute of Digital 
                         Elevation Models (DEMs). Ordinary kriging, kriging with external 
                         drift, regression kriging and cokriging procedures, are applied to 
                         assess uncertainty representations from which it is possible to 
                         get altimetry predictions and other information. The fusion data 
                         modeling is performed from existing DEMs, mainly available for 
                         free in the internet, and additional high accurate set of 3D 
                         sample points. Although the freeware DEMs are dense and generally 
                         have good spatial distributions, the accuracy of their altimetry 
                         information might not be suitable for many applications. A way of 
                         mitigating this problem is to combine, in the data modeling 
                         processes, the available DEM data along with additional 
                         information coming from various other sources and having better 
                         quality. Usually, high accurate altimetry data are collected in 
                         field works, with higher cost, at specific point locations inside 
                         the spatial region of interest. In short, this work aims to 
                         integrate, through geostatistical methods, spatial elevation 
                         information of different sources, data structures and elevation 
                         accuracies to obtain better accurate DEMs. The methodology 
                         addressed in this research was applied to a case study in a 
                         Brazilian Southeast geographical region. Quantitative and 
                         qualitative validations were performed using an independent high 
                         accurate data set and comparisons based on DEM differences and 
                         drainage network automatic extraction. For the considered study 
                         area, the kriging with external drift and the regression kriging 
                         have led to similar quantitative and qualitative improvements, 
                         better than the co-kriging approach.",
                  doi = "10.4172/2327-4581.1000179",
                  url = "http://dx.doi.org/10.4172/2327-4581.1000179",
                 issn = "2327-4581",
                label = "lattes: 3997386421385499 8 FelgueirasOCNRORS:2018:FuBaGe",
             language = "en",
           targetfile = "felgueiras_fusion.pdf",
        urlaccessdate = "27 abr. 2024"
}