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土壤水力侵蚀的遥感信息模型研究——以江西省为例 被引量:1

Study on Hydraulic Soil-Erosion with Remote Sensing Information for Jiangxi Province
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摘要 通过利用Terra/Aqua卫星上搭载的MODIS传感器计算获取的16d合成植被指数产品(MOD13A2),进一步按照最大值合成法计算月合成光谱植被指数,按照USLE模型月模式评价江西省2005年土壤侵蚀,并与传统的USLE模型年模式计算的结果进行了比较。 Rich of quaternary red soil with sticky clay, low water permeability and abundant precipitation caused soil erosion extensive in Jiangxi Province. USLE have been used in eval- uating soil erosion for several decades with a multiplication formula by 5 parameters charac- terizing annual erosion power of precipitation, annual vegetation factor, topography, meas- ure of land management and Soil erodibility respectively. Considering that most of precipita- tion happened during from May to August in Jiangxi Province and the growth of the vegeta- tion show seasonal temporal pattern, improving USLE with a monthly model was attemptedfor Jiangxi Province with the monthly EVI composited from the 8-day MODIS EVI product in 2005. Results showed that.(1)Soil erosion is still serious in Jiangxi Province, serious ero- sion was widely happened over the upper and middle reaches of Ganjiang River, Huhe River, Xinjiang River, Raohe River and Xiuhe River and the amount of soil erosion is about 1. 346×10^9ton p.a. ; (2)about 21.4% of the area in Jiangxi Province is in soil erosion. The region with a area of 14906km^2is in over-moderate soil erosion,in which the area of moderate soil e- rosion is 8374km^2 , of intensive soil erosion is 3089km^2 , of extreme intensive erosion is km^2 and of drastic intensive erosion is 1356km^2 ; (3)though the Monthly-USLE is more reasonable because of the seasonality of precipitation and vegetation growth, the soil erosion happened in Jiangxi Province from Monthly-USLE is not similar with that from Yearly-USLE. The soil loss estimated by Monthly-USLE is smaller than that by Yearly-USLE.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2012年第4期389-393,505,共5页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40801169) 公益性行业(气象)专项资助项目(201206022)
关键词 土壤侵蚀 USLE 遥感 江西 soil erosion USLE remote sensing Jiangxi province
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