水土保持研究2025，Vol.32Issue(3)：188-195,205,9.DOI:10.13869/j.cnki.rswc.2025.03.040
基于InSAR优化的DEM空间分辨率对坡度、坡长因子的影响
Effect of DEM spatial resolution on slope and slope length factors based on InSAR optimization
摘要
Abstract
[Objective]The study aims to optimize the accuracy of Digital Elevation Model(DEM)data and explore the effects of DEM data at different scales on topographic factor(LS)calculations and the Revised Universal Soil Loss Equation(RUSLE model),thereby providing a theoretical basis for ecological management on the Loess Plateau.[Methods]The Huangfuchuan Basin,located in the Loess Plateau,was designated as the study area.Synthetic Aperture Radar(SAR)data was used to obtain DEM data with a 15-meter spatial resolution for the basin from 2018 to 2022.A 15-meter square grid was established as the DEM reference,and decreasing resolution grids were evaluated to examine the scale effects on the LS factors.[Results](1)As the DEM spatial resolution decreased from 15 m to 90 m,the effect of the slope factor(S factor)increased,while the effect of the slope length factor(L factor)decreased.(2)The normalized results of the LS factor showed that the overall average absolute error of the RUSLE model reached the accuracy threshold when the DEM spatial resolution was 50 m.At this resolution,the effects of both LS factors were nearly equal,and the calculated topographic factors provided more accurate estimates of soil erosion modulus.(3)The soil erosion modulus in the Huangfuchuan Basin showed higher values around the water system,with the southern region exhibiting greater soil erosion modulus compared to the northern region.[Conclusion]Within a specific range,the accuracy of DEM data reaches a threshold.Calculating LS factors at this threshold significantly enhances their precision.Incorporating high-precision LS factors into the RUSLE model further improves the accuracy of soil erosion modulus calculations,which is crucial for the ecological management of the Loess Plateau.关键词
数字高程模型/尺度效应/LS因子/RUSLE/土壤侵蚀Key words
digital elevation model/scale effect/LS factor/RUSLE/soil erosion分类
测绘与仪器引用本文复制引用
杨荣康,张静,高驭洋,梁明月,王晨沣,王小平,刘梦云..基于InSAR优化的DEM空间分辨率对坡度、坡长因子的影响[J].水土保持研究,2025,32(3):188-195,205,9.基金项目
国家重点研发计划(2022YFE0115300) （2022YFE0115300）
一般项目—青年项目(2024JC-YBQN-0263) （2024JC-YBQN-0263）
