Genaralizing the Fine Resolution DEMs with Filtering Method

YANG Qin-ke; David Jupp; GUO Wei-ling; LI Rui

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Genaralizing the Fine Resolution DEMs with Filtering Method

- Genaralizing the Fine Resolution DEMs with Filtering Method
- Bulletin of Soiland Water Conservation Vol. 27, Issue 6, Pages: 58-62(2008)
- 作者机构：
  
  1. 中国科学院水利部水土保持研究所, 陕西杨凌,712100
  2. 西北农林科技大学水土保持研究所, 陕西杨凌,712100
  3. 澳大利亚联邦科学与工业研究组织大气与海洋研究所,堪培拉,澳大利亚
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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YANG Qin-ke, David Jupp, GUO Wei-ling, et al. Genaralizing the Fine Resolution DEMs with Filtering Method[J]. Bulletin of Soiland Water Conservation, 2008, 27(6): 58-62.
DOI：

YANG Qin-ke, David Jupp, GUO Wei-ling, et al. Genaralizing the Fine Resolution DEMs with Filtering Method[J]. Bulletin of Soiland Water Conservation, 2008, 27(6): 58-62. DOI：

摘要

针对水土流失评价中地形因子的尺度效应问题

引入数字图像处理中的滤波分析方法

对5 m分辨率DEM进行了滤波处理

并通过地形综合特征分析

坡度、曲率制图统计分析

派生等高线与河流提取统计分析等方法

对滤波处理的综合效果进行了分析论证。结果表明

利用滤波方法可以实现对高分辨率DEM的综合

利用比例尺因子为5或者10的处理

其结果与10 m分辨率DEM或1∶5万地形图在反映地形起伏方面相似。

Abstract

Oriented to examine the impacts of scales of topographic parameters in regional soil erosion assessment

filtering method was applied to generalize fine resolution DEM(cellsize = 5 m) in ERDAS and ArcGIS systems.The effects of generalization have been assessed by comparing the general topographic characters

statistical analyzing of derived slopes and curvatures

as well as resultant contours and streams.The results show that fine resolution DEMs can be generalized

and the generalized DEMs

with a scaling factor of 5 or 10

and a 3*3 filtering window

are comparable to 10 m resolution DEMs and 1∶50 000 topographic maps in representing ground reliefs.

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