基于12.5 m空间分辨率黄土方程的黄河流域坡长坡陡因子数据集

Cheng Zheng, Haijing Shi, Shaowei Zhang, J. Shui, X. Cao, Yanmin Jiang
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引用次数: 0

摘要

黄河流域是我国水土流失最严重的地区之一。坡长和坡陡因子是研究土壤流失方程的基础数据,也是USLE和CSLE土壤侵蚀模型中的重要参数。本研究基于ALOS 12.5m DEM数据,通过区域LS因子计算工具,获得了土壤侵蚀方程四个关键因子的数据集,即坡度因子、坡长因子、LS因子和坡长。该数据集可用于区域土壤侵蚀评估、土地利用以及水土保持措施和规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset of slope length and slope steepness factors based on soil loess equation with 12.5 m spatial resolution in the Yellow River Basin
The Yellow River Basin is one of the areas worst affected by soil and water loss in China. The slope length and slope steepness factors are the basic data for the study on soil loss equation, and they are also important parameters in soil erosion models of USLE and CSLE. In this study, we obtained the dataset of four key factors of soil erosion equation, namely slope steepness factor, slope length factor, LS factor and slope length through regional LS factor calculation tool based on ALOS 12.5 m DEM data. This dataset can be used for regional soil erosion assessment, land use as well as the measures and planning of soil and water conservation.
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