Computing surface roughness of individual cells of digital elevation models via multiscale analysis

  • Authors:
  • Ahmad Fadzil Mohamad Hani;Dinesh Sathyamoorthy;Vijanth Sagayan Asirvadam

  • Affiliations:
  • Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Malaysia;Science and Technology Research Institute for Defence (STRIDE), Ministry of Defence, Taman Bukit Mewah Fasa 9, 43000 Kajang, Selangor, Malaysia;Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Malaysia

  • Venue:
  • Computers & Geosciences
  • Year:
  • 2012

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Abstract

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.