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

Mohamad Hani, A.F. and Sathyamoorthy, D. and Sagayan Asirvadam, V. (2012) Computing surface roughness of individual cells of digital elevation models via multiscale analysis. Computers and Geosciences, 43. pp. 137-146. ISSN 00983004

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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. © 2011 Elsevier Ltd.

Item Type: Article
Additional Information: cited By 15
Uncontrolled Keywords: 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
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:51
Last Modified: 09 Nov 2023 15:51
URI: https://khub.utp.edu.my/scholars/id/eprint/2978

Actions (login required)

View Item
View Item