Creation and Error Analysis of High Resolution DEM Based on Source Data Sets of Various Accuracy
Digital Elevation Models (DEMs) are extensively used as basic components of geographic information systems. Our purpose in this study was to generate a high-resolution DEM based on available elevation data of varying levels of accuracy and reliability. High-resolution DEM can be used as an input for modeling landscape development of the Olkiluoto region in Finland, a future repository site for spent nuclear fuel. We also generated error models for the newly created DEM. Our approach uses thin plate approximation and Monte Carlo simulations. Our results show that our proposed framework enables validation and identification of flaws in various source data sets even if little is known a priori about their accuracy. Thin plate approximation is shown to perform well in the case of DEM generation. In the case of sparsely and irregularly located source measurements, the smoothness of the generated DEM is highly dependent on the local interpolation neighbourhood
KeywordsDigital Elevation Model Geographic Information System Spend Nuclear Fuel Digital Elevation Model Generation Generate Error Model
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