Influence of DEM resolution on drainage network extraction: A multifractal analysis

article i nfo Drainage network geometry DEM resolution D8 algorithm Multifractal analysis Flow accumulation threshold Terrain attributes Different hydrological algorithms have been developed to automatically extract drainage networks from digital elevation models (DEMs). D8 is the most widely used algorithm to delineate drainage networks and catchments from a DEM. This algorithm has certain advantages such as simplicity, the provision of a reasonable representa- tion for convergent flow conditions and consistency among flow patterns, calculated contributing areas and the spatial representation of subcatchments. However, it has limitations in selecting suitable flow accumulation threshold values to determine the pixels that belong to drainage networks. Although the effects of DEM resolu- tiononsometerrainattributes,streamcharacterisationandwatersheddelineationhavebeenstudied,analysesof the influence of DEM resolution on flow accumulation threshold values have been limited. Recently, multifractal analyses have been successfully used to find appropriate flow accumulation threshold values. The application of thistype of analysisto evaluate therelationship betweenDEM resolution and flow accumulation threshold value needs to be explored. Therefore, this study tested three DEM resolutions for four drainage basins with different levels of drainage network distribution by comparing the Renyi spectra of the drainage networks that were ob- tained with the D8algorithmagainstthose determined byphotogrammetric restitution.According totheresults, DEM resolution influences the selected flow accumulation threshold value and the simulated network morphol- ogy.Thesuitable flowaccumulationthresholdvalue increasesastheDEMresolutionincreasesandshowsgreater variability for basins with lower drainage densities. The links between DEM resolution and terrain attributes were also examined.

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