基于DTA山体部位分类决策方案的改进与微观地形自动分类研究

Improved Hill-position Classification Decision and Experiment of Micro Landform Classification Based on DTA

在数字地形分析DTA的理论体系框架下,研究了微观地形分类的体系、方法,认为Dragut等在2004年提出的山体部位分类决策方案割裂了微观地形表达上的同一性,仅以曲率或坡度划分不同的山体部位容易形成重叠。以土壤侵蚀研究中的临界坡度值为参考改进了Dragut等提出的山体部位分类决策方案。提出了基于栅格DEM和DTA技术实现微观地貌形态分类的关键技术在于提取地形地貌因子和制定合理的分类决策方案。并以黄土高原的局部DEM为数据源,以改进的山体部位分类决策方案为应用参考,在DTA技术支撑下进行了微观地形自动分类的试验研究。结果表明,以栅格DEM为数据,基于DTA技术提取相关微观地形地貌因子,形成合理的分类决策方案就可以实现微观地形地貌的自动划分。

Based on DTA system info,the system and method of micro landform classification is investigated.It is thought that Dragut＇s classification decision dissevers the identity of micro landform description.The slope threshold in soil erosion research is referenced and Dragut＇s hill-position classification decision is improved.It is brought forward that extracting landform factors and making classification decisions are the key techniques of micro landform classification based on grid DEM and DTA.The experiment applied to micro landform classification with improved hill-position classification decision is carried out using local grid DEM of Loess Plateau.Result shows that automated classification of micro landform can be realized with grid DEM data and by DTA techniques,which extract interrelated micro landform factors and make rational classification decision.