IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2014  > Vol11 No.5
Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China
ZHU Shi-jie; TANG Guo-an; XIONG Li-yang; ZHANG Gang
Corresponding AuthorTANG Guo-an
2014-09
Source PublicationJournal of Mountain Science
Volume11Issue:5Pages:1169-1181
AbstractAlthough many studies have investigated slope gradient uncertainty derived from Digital Elevation Models (DEMs), the research concerning slope length uncertainty is far from mature. This discrepancy affects the availability and accuracy of soil erosion as well as hydrological modeling. This study investigates the formation and distribution of existing errors and uncertainties in slope length derivation based on 5-m resolution DEMs of the Loess Plateau in the middle of China. The slope length accuracy in three different landform areas is examined to analyse algorithm effects. The experiments indicate that the accuracy of the flat test area is lower than that of the rougher areas. The value from the specific contributing area (SCA) method is greater than the cumulative slope length (CSL), and the differences between these two methods arise from the shape of the upslope area. The variation of mean slope length derived from various DEM resolutions and landforms. The slope length accuracy decreases with increasing grid size and terrain complexity at the six test sites. A regression model is built to express the relationship of mean slope length with DEM resolution less than 85 m and terrain complexity represented by gully density. The results support the understanding of the slope length accuracy, thereby aiding in the effective evaluation of the modeling effect of surface process.
KeywordSlope Length Uncertainty Digital Elevation Models (Dem) Loess Terrain
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/7246
CollectionJournal of Mountain Science_Journal of Mountain Science-2014_Vol11 No.5
Corresponding AuthorTANG Guo-an
Recommended Citation
GB/T 7714
ZHU Shi-jie,TANG Guo-an,XIONG Li-yang,et al. Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China[J]. Journal of Mountain Science,2014,11(5):1169-1181.
APA ZHU Shi-jie,TANG Guo-an,XIONG Li-yang,&ZHANG Gang.(2014).Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China.Journal of Mountain Science,11(5),1169-1181.
MLA ZHU Shi-jie,et al."Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China".Journal of Mountain Science 11.5(2014):1169-1181.
Files in This Item:
File Name/Size DocType Version Access License
Uncertainty of Slope(4664KB) 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[ZHU Shi-jie]'s Articles
[TANG Guo-an]'s Articles
[XIONG Li-yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[ZHU Shi-jie]'s Articles
[TANG Guo-an]'s Articles
[XIONG Li-yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[ZHU Shi-jie]'s Articles
[TANG Guo-an]'s Articles
[XIONG Li-yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Uncertainty of Slope Length Derived from Digital Elevation.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.