%0 Journal Article
%@ 00983004
%A Mohamad Hani, A.F.
%A Sathyamoorthy, D.
%A Sagayan Asirvadam, V.
%D 2012
%F scholars:2978
%J Computers and Geosciences
%K Curvature regions; Digital elevation model; Individual cells; Localisation; Modified algorithms; Multi scale analysis; Physiographic features; Surface roughness parameters, Algorithms; Digital instruments; Landforms; Surface roughness; Surveying, Geomorphology, algorithm; basin; curvature; digital elevation model; identification method; mountain; parameterization; piedmont; slope; surface roughness
%P 137-146
%R 10.1016/j.cageo.2011.09.015
%T Computing surface roughness of individual cells of digital elevation models via multiscale analysis
%U https://khub.utp.edu.my/scholars/2978/
%V 43
%X In this paper, a modification of the algorithm proposed by Ahmad Fadzil et al. (2011) for surface roughness computation from digital elevation models (DEMs) via multiscale analysis is presented. The new algorithm takes into account that the three predominant physiographic features of terrains (mountains, basins and piedmont slopes) have distinct curvature region distributions and hence, distinct roughness characteristics. To this end, the surface roughness of individual cells of DEMs is computed by identifying the curvature region distribution and roughness characteristics of each individual mountain, basin and piedmont slope region. The modified algorithm allows for the localisation and quantification curvature regions over varying scales for specific regions, providing a more appropriate surface roughness parameter. © 2011 Elsevier Ltd.
%Z cited By 15