DEM-based slope unit derivation

C. Xiao, Yuan Tian, Tingting Li, Zhifang Gao
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引用次数: 2

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.
基于dem的斜率单位推导
本文主要研究了基于目标图像分析的DEM斜坡单元推导方法。首先考虑斜坡单元的详细特征,构建了由山脊、山谷、斜坡单元和平坦地形类别组成的地形分类体系。在此基础上,在多尺度OBIA框架下,设计了考虑坡度、坡向和曲率等地形因素的DEM斜坡单元推导过程。介绍了利用COLV确定最佳分割尺度的方法。以深圳市为例,验证了所设计程序的可行性和准确性。实例研究结果表明,当比例尺参数为20时,导出的坡面单元能较好地反映地形的详细结构,且导出的坡面单元边界与地形的凹凸边界基本一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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