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]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.