Title :
DEM-based slope unit derivation
Author :
Chenchao Xiao ; Yuan Tian ; Ting Li ; Zhifang Gao
Author_Institution :
China Aero Geophys. Survey & Remote Sensing Center for Land & Resources, Beijing, China
Abstract :
This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors including slope gradient, slope aspect and curvature, is designed within multi-scale OBIA framework. The method to determine the optimum segmentation scale by COLV is also introduced. A case study of Shenzhen is carried out to verify the feasibility and accuracy of the designed procedure. The results of the case study shows that when the scale parameter is 20, the derived slope units remarkably denote the detailed landform structure and the bounds of the derived units are largely consistent to the concave and convex terrain bounds.
Keywords :
digital elevation models; geophysical image processing; image classification; COLV; DEM-based slope unit derivation; concave terrain bounds; convex terrain bounds; digital elevation model; flat terrain classes; landform classification system; multiscale OBIA framework; object-based image analysis; optimum segmentation scale; slope aspect; slope gradient; slope units; topographic factors; Geographic information systems; Image analysis; Image segmentation; Remote sensing; Surface topography; Surface treatment; Terrain factors; DEM; GIS; object-based image analysis; slope unit;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626065