[1]师 动,朱奇峰,杨勤科*,等.DEM分辨率对坡度算法选择影响的分析[J].山地学报,2020,(6):935-944.[doi:10.16089/j.cnki.1008-2786.000569]
 SHI Dong,ZHU Qifeng,YANG Qinke*,et al.DEM Resolution Influence on Slope Algorithm Selection[J].Mountain Research,2020,(6):935-944.[doi:10.16089/j.cnki.1008-2786.000569]
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DEM分辨率对坡度算法选择影响的分析
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2020年第6期
页码:
935-944
栏目:
山地技术
出版日期:
2021-05-01

文章信息/Info

Title:
DEM Resolution Influence on Slope Algorithm Selection
文章编号:
1008-2786-(2020)6-935-10
作者:
师 动1朱奇峰2杨勤科1*龙永清1
1. 西北大学 城市与环境学院,西安 710127; 2. 陕西省动物研究所,西安 710032
Author(s):
SHI Dong1ZHU Qifeng2YANG Qinke1*LONG Yongqing1
1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; 2. Shaanxi Institute of Zoology, Xi'an 710032, China
关键词:
坡度 算法 DEM分辨率 误差 坡度衰减
分类号:
P208
DOI:
10.16089/j.cnki.1008-2786.000569
文献标志码:
A
摘要:
坡度是重要的地表形态要素,DEM的分辨率对坡度计算具有十分重要影响。研究DEM分辨率对坡度最优算法选择的影响,对坡度精度评价具有重要意义。本文选取地形复杂的绥德和地形简单的拜泉两个样区,生成10~200 m一系列分辨率的DEM,通过对比坡度计算的误差、坡度的信息熵和坡度衰减,分析Horn(H)算法、Zevenbergen(Z)算法、Evans-Young(EY)算法、Sobel(Sb)算法和Sharpnack(Sp)算法这五种坡度算法随DEM分辨率变化的表现,认识理解分辨率对坡度算法选择的影响。结果表明:(1)根据误差结果,各种分辨率下EY算法均为最优; 根据信息熵和坡度衰减(平均值、标准差)结果,各种分辨率下H算法均为最优;(2)DEM分辨率对算法的影响主要表现在其坡度计算结果的差异程度上。在高分辨率时,不同算法得到的坡度结果差异不大; 而在低分辨率时坡度结果的差异很大,宜使用推荐的算法;(3)随DEM分辨率降低,五种算法得到的坡度均发生衰减,但衰减程度不同,其中H算法衰减最小。(4)在实际坡度计算时,若重点关注坡度的精度,则优先考虑选用EY算法; 若重点关注低分辨率情形下坡度的衰减,则优先考虑选用H算法。研究结果对不同分辨率下坡度算法选择和坡度精度评价均具有十分重要的意义,这还为地学模型提供了更精确的坡度数据。

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备注/Memo

备注/Memo:
收稿日期(Received date):2020-06-08; 改回日期(Accepted date):2020-07-15
基金项目(Foundation item):国家自然科学基金(41371274,41601290)。[National Natural Science Foundation of China(41371274,41601290)]
作者简介(Biography):师动(1992-),女,陕西咸阳人,博士研究生,主要研究方向:地理信息科学。[SHI Dong(1992-), female, born in Xianyang, Shaanxi province, Ph.D. candidate, research on geographic information science] E-mail: shidongsd@stumail.nwu.edu.cn
*通讯作者(Corresponding author):杨勤科(1962-),男,陕西陇县人,博士,教授,主要研究方向:区域土壤侵蚀评价和侵蚀地形分析。[YANG Qinke(1962-), male, born in Longxian, Shaanxi province, Ph.D., professor, research on regional soil erosion evaluation and erosion topography analysis] E-mail: qkyang@nwu.edu.cn
更新日期/Last Update: 2020-11-30