DEM流域网络提取算法的误差特性分析

Translated title of the contribution: Error analysis of drainage network algorithms based on Digital Elevation Model(DEM)

刘学军*, 王永君, 龚健雅, 周启鸣

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)

Abstract

流域网络及其描述参数是一类重要的环境参数,其质量直接影响着各类地学糢型和地学过程模拟的精度。在数据独立的DEM误差分析方法支持下,以比汇水面积(Specific catchment area, SCA)为计算对象,详细 分析5种流域网络提取算法的误差空间分布特征。研究表明,不论何种算法,SCA误差主要集中于合水区域;不同算法的SCA频率分布随着SCA值的增加而趋于一致;SCA精度的提高有赖于DEM路径算法的改进,不同路经算法的组合可有效改善流域网络提取和分析的质量。

As an important parameter in various environmental models, the quality of drainage network has a serious effect on geosciences models and geo-processes modeling. Based on the data independent DEM interpretation analysis principle, this paper studied the error spatial distribution of specific catchment area (SCA) produced by five routing algorithms, including D8, Rho8, DEMON, FMFD and Dinf. Though the research, some beneficial results were got, that is the SCA error is distributed mainly within valley area in despite of how many routing algorithm is used to compute SCA; ④the SCA frequency of selected routing algorithms is to identical with SCA increasing; improvement of the existed routing algorithm is a key factor for improving the quality of SCA based on grid DEM. combining two routing algorithms can be effectively improved drainage network and SCA from DEM.

Translated title of the contributionError analysis of drainage network algorithms based on Digital Elevation Model(DEM)
Original languageChinese (Simplified)
Pages (from-to)224-230
Number of pages7
Journal测绘学报
Volume36
Issue number2
Publication statusPublished - May 2007

Scopus Subject Areas

  • Earth and Planetary Sciences(all)

User-Defined Keywords

  • Digital Elevation Model (DEM)
  • Drainage network
  • Error
  • Spatial distribution
  • 数字高程模型
  • 流域网络
  • 误差
  • 空间分布

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