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TPI算法在自动识别黄土丘陵地区沟沿线中的应用

发表时间:2008-07-15  浏览量:1758  下载量:930
全部作者: 张艳林,马金辉,李国鹏
作者单位: 兰州大学地理系;甘肃省地震局
摘 要: 沟沿线是一种重要的地貌结构线,它是沟间地和沟谷地的分界线,在地貌、土壤侵蚀和水土保持、地质灾害、分布式水文建模等多个研究领域中有重要的意义。基于数字高程模型(digital elevation model,DEM)快速高效地提取沟沿线的方法在相关研究领域中具有潜在的应用价值。本文以甘肃省天水市罗峪沟黄土丘陵沟壑区为例,引入地形位置指数(topographic position index,TPI),对黄土丘陵沟壑区沟沿线进行自动提取,并将试验结果与基于DEM(5 m分辨率)的手绘沟沿线和RiverTools提取的河网进行对比,同时分析了TPI算法对DEM分辨率和邻域大小的敏感性。结果表明:TPI算法提取效果良好且精度较高,另外,当改变邻域大小和分辨率时,TPI算法能识别出不同层次的沟谷系统。
关 键 词: 地图学;沟沿线;坡位;地形位置指数;数字高程模型
Title: The application of topographic position index algorithm in automatically extracting the shoulder line of valley in hilly loess region
Author: ZHANG Yanlin, MA Jinhui, LI Guopeng
Organization: Department of Geography, Lanzhou University;Earthquake Administration of Gansu Province
Abstract: The shoulder line of valley, namely the boundary between gully and inter-gully, is an important structure line of topography. It is particularly significant in research on topography, soil erosion and conservation, distributed hydrological modeling and so on in hilly loess regions. Therefore, it becomes necessary to extract the shoulder line effectively and automatically based on the digital elevation model (DEM). For this purpose, a new algorithm of topographic position index (TPI) is introduced. The experiment results are compared with the shoulder line sketched by hand based on the DEM with 5 m resolution and the drainage network extracted by RiverTools based on the same DEM. In addition, this paper represents a sensitivity analysis of the experiment results to the DEM resolution and neighborhood size. It turns out that the TPI algorithm can do pretty well in recognizing the shoulder line of valley. Moreover, with different resolution and neighborhood size, the TPI algorithm can obtain different detailed gully systems, micro-ones or macro-ones.
Key words: cartography; the shoulder line of valley; slope position; topographic position index (TPI); digital elevation model (DEM)
发表期数: 2008年11月第13期
引用格式: 张艳林,马金辉,李国鹏. TPI算法在自动识别黄土丘陵地区沟沿线中的应用[J]. 中国科技论文在线精品论文,2008,1(13):1490-1494.
 
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