基于DEM和坡面特征的坡位生成方法

坡位是描述地貌的重要因子,基于DEM自动生成坡位对于自然生境分析与地理生态过程模拟具有重要意义。本文以DEM数字地形分析技术为基础,提出一种以坡面汇水小区为单元综合考虑坡面特征的坡位划分方法,并设计算法实现了该方法。结合林业调查对坡位的划分要求,以北京1∶25万DEM数据为基础对西部山区进行坡位划分,取得合理一致的结果。结果表明,本文提出的方法可以实现相对位置计算与坡面剖面分割的本地化,使坡位划分更加客观一致。 

Slope position extraction method based on DEM and slope features

Slope position is an important factor describing relief in the hillslopes. The automatic extraction of slope position has great significance in the natural habitat analysis and geo-ecological process modelling. Based on digital terrain analysis, we propose a slope position classification method which considers both slope profile and relative position index. And then the algorithm of the method was designed and programmed. According to forest resources survey rule, the slope position extraction test was carried out in the western mountainous areas of Beijing based on DEM data at the 1∶250 000 scale. The test has achieved the expected result. The result showed that the method can realize the localization of relative position index calculation and slope profile segmentation,and make the classification more objective and reasonable.