测绘通报 ›› 2022, Vol. 0 ›› Issue (8): 104-109.doi: 10.13474/j.cnki.11-2246.2022.0240

• 学术研究 • 上一篇    下一篇

栅格DEM坡体因子融合方法

周访滨1,2, 谢财昌1, 王俊1, 陈百了1, 胡奕1   

  1. 1. 长沙理工大学交通运输工程学院, 湖南 长沙 410114;
    2. 特殊环境道路工程湖南省重点实验室(长沙理工大学), 湖南 长沙 410114
  • 收稿日期:2021-10-08 发布日期:2022-09-01
  • 通讯作者: 谢财昌。E-mail:329827449@qq.com
  • 作者简介:周访滨(1975-),男,博士,高级实验师,主要研究方向为数字地形分析。E-mail:Arthur1975@126.com
  • 基金资助:
    国家自然科学基金面上项目(41671446);湖南省自然科学基金面上项目(2021JJ30702);长沙理工大学特殊环境道路工程湖南省重点实验室开放基金

Slope body factor fusion of grid DEM

ZHOU Fangbin1,2, XIE Caichang1, WANG Jun1, CHEN Bailiao1, HU Yi1   

  1. 1. School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China;
    2. Key Laboratory of Special Environment Road Engineering of Hunan Province, Changsha University of Science & Technology, Changsha 410114, China
  • Received:2021-10-08 Published:2022-09-01

摘要: 坡体是自然地形实体的基本组成单元,利用综合性坡体因子分析和挖掘地形隐含信息,有助于区域地形地貌分析及规划利用。本文针对当前坡体综合表达因子(LS)未顾及坡宽因子的缺陷,采用归一化几何运算法将坡长(L)、坡度(S)、坡宽(W)进行融合,获取了一种新的坡体融合因子LSW。以DEM为数据源、黄土高原某小流域局部范围为典型研究区,在提取LSW及LS因子的基础上,分别以L×S×WL+S+W、LS×W及LS+W共4种方式进行融合试验。结果表明,L+S+W融合方式获取的坡体LSW因子标准差矩阵均值最小,为0.234 4,有效平衡了各单地形因子对融合坡体因子LSW的贡献度,信息熵值计算分析也实证了L+S+W融合方式具有最优性。

关键词: 数字地形分析, 栅格DEM, 坡体因子, 坡长, 坡度, 坡宽

Abstract: Slope body is the basic unit of natural terrain entity. It is beneficial for regional landform analysis and planning to use comprehensive slope factor analysis and excavation of terrain implied information. Because of the current defect that the slope width factor has not been considered in the slope comprehensive expression factor(LS), a new slope fusion factor(LSW) is acquired by integrating the slope length (L), slope (S) and slope width (W) with the normalized geometric operation method. Using DEM by intercepting a local area of a small watershed in the Loess Plateau as a typical study area, four patterns L×S×W, L+S+W, LS×W and LS+W are adopted for the fusion experiment based on the extraction of L, S, W and LS. The experimental results show that the L+S+W fusion pattern has the lowest mean value 0.2344 in the LSW factor variance matrix, effectively balances the contribution of each single terrain factor in LSW to the fusion slope factor LSW, and the L+S+W fusion pattern is demonstrated to be optimal by information entropy calculation.

Key words: digital terrain analysis, gird DEM, slope body factor, slope length, slope, slope width

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