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Improving a digital elevation model by reducing source data errors and optimising interpolation algorithm parameters: An example in the Loess Plateau, China

Yang, QinKe; McVicar, Tim R; Van Niel, Thomas G.; Hutchinson, Michael; Li, LingTao; Zhang, XiaoPing


A hydrologically correct digital elevation model (DEM) forms a basis for realistic environmental modelling, especially in complex terrain. We have performed a study in the Coarse Sandy Hilly Catchments (CSHC) of the Loess Plateau, China, which demonstrates pragmatic, yet effective methods for improving the quality of the DEM by: (1) identifying and correcting source topographic data errors and (2) optimising ANUDEM algorithm parameters. Improvement in the DEM based on fixing over 1100 errors in...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: International Journal of Applied Earth Observation and Geoinformation
DOI: 10.1016/j.jag.2006.08.004


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