TY  - JOUR
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861004045&doi=10.1016%2fj.cageo.2011.09.015&partnerID=40&md5=a5fc95a0bd4e02aefc489373d885b638
JF  - Computers and Geosciences
VL  - 43
N2  - 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.
SP  - 137
KW  - Curvature regions; Digital elevation model; Individual cells; Localisation; Modified algorithms; Multi scale analysis; Physiographic features; Surface roughness parameters
KW  -  Algorithms; Digital instruments; Landforms; Surface roughness; Surveying
KW  -  Geomorphology
KW  -  algorithm; basin; curvature; digital elevation model; identification method; mountain; parameterization; piedmont; slope; surface roughness
N1  - cited By 15
Y1  - 2012///
A1  - Mohamad Hani, A.F.
A1  - Sathyamoorthy, D.
A1  - Sagayan Asirvadam, V.
EP  - 146
ID  - scholars2978
TI  - Computing surface roughness of individual cells of digital elevation models via multiscale analysis
SN  - 00983004
ER  -