首页|Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China

Uncertainty of Slope Length Derived from Digital Elevation Models of the Loess Plateau, China

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Although 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.

Slope lengthUncertaintyDigital Elevation Models (DEM)Loess terrain

ZHU Shi-jie、TANG Guo-an、XIONG Li-yang、ZHANG Gang

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Key Laboratory of Virtual Geographic Environment Ministry of Education, Nanjing Normal University, Nanjing 210023, China

Zhejiang Academy of Surveying & Mapping, Hangzhou 310012, China

This research is supported by the National Natural Science Foundation of ChinaThis research is supported by the National Natural Science Foundation of ChinaA Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions-PAPDMajor University Science Research Project of Jiangsu Provinceauthors acknowledge the financial support provided by the PhD Scholarship from Eurasic Pacific Uninet for collaboration rese

4147131641401456164320H10113KJA170001

2014

10.1007/s11629-013-2788-0

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2014.11(5)
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