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作 者:耿文广 诸云强[2,3] 陈鹏飞 Geng,W.G.;Zhu,Y.Q.;Chen,P.F.(School of Architecture Engineering,Shandong University of Technology,Zibo 255000,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources,Chinese Academy of Sciences,Beijing 100101,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
机构地区:[1]山东理工大学建筑工程学院,淄博255000 [2]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101 [3]江苏省地理信息资源开发与利用协同创新中心,南京210023
出 处:《全球变化数据学报(中英文)》2022年第1期85-92,I0087-I0094,共16页Journal of Global Change Data & Discovery
基 金:中国科学院(XDA23100100)。
摘 要:土壤侵蚀模数是衡量生态环境质量的重要指标,其时空分布数据是土壤侵蚀治理的重要科学依据。黄土高原地区是我国的生态脆弱区,水土流失严重,目前该地区还缺乏长时间序列、格式统一、完全共享的土壤侵蚀模数的数据集。为了有效支撑黄土高原地区的土壤侵蚀治理,作者基于RUSLE(The Revised Universal Soil Loss Equation)模型,通过对该地区降水、土壤质地、DEM(Digital Elevation Model)、植被指数等数据的规范化处理后,计算得到2001-2015年1-km分辨率的土壤侵蚀模数数据集。本数据集包含2001-2015年黄土高原地区逐年1-km分辨率的土壤侵蚀模数栅格数据,数据集存储格式为TIFF,由60个数据文件组成,总数据量为105.0 MB。Soil erosion modulus is an important index to measure the quality of ecological environment, and its temporal and spatial distribution is an important scientific basis for soil erosion control. The Loess Plateau is an ecologically fragile area in China with severe soil erosion. At present, the region still lacks a fully shared dataset of soil erosion modulus with long-term sequence and uniform format. In order to effectively support the soil erosion control on the Loess Plateau, the authors produced the dataset of soil erosion modulus with 1-km resolution from 2001 to 2015 based on the RUSLE(Revised Universal Soil Loss Equation) model, through the standardized processing of precipitation data, soil texture data, DEM(digital elevation model) data, and vegetation index data, etc. This dataset, which is stored in TIFF format, contains data of soil erosion modulus with 1-km resolution of the Loess Plateau from 2001 to 2015, and consists of 60 data files with a total data size of 105.0 MB.
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