水利水电科技进展2012，Vol.32Issue(4)：6-9,22,5.DOI:10.3880/j.issn.1006-7647.2012.04.002
基于温度植被干旱指数的黄河源区土壤表层含水量反演
Estimation of surface soil water content in source region of Yellow River based on TVDI
摘要
Abstract
For the inversion and spatial-temporal analysis of the surface soil moisture content in the source region of the Yellow River, the temperature vegetation drought index (TVDI) was calculated in this study. The linear relationship between the LST/ NDVI slopes for different pixel scale windows and the measured surface soil moisture content was constructed. The fitted results for different pixel scale windows were also compared. The results show that: the fitting result for the 9 ×9 pixel window (regression coefficientR2 = 0.76) is better than that for the other pixel scale windows; the inter-seasonal fitting accuracy (regression coefficient R2 = 0.76) is better than the long time series simulation results; since the value of the RMS error between the simulated results and the measured data in summer is 0.09, which satisfies experimental requirements, the surface soil water content can be estimated based on the short time series soil moisture inversion in the source region of the Yellow River.关键词
温度植被干旱指数/土壤含水量/像元窗口/黄河源区Key words
temperature vegetation drought index/ surface soil water content/ pixel window/ source region of Yellow River分类
农业科技引用本文复制引用
陈立文,张友静,邓世赞,曹明,钱志奇..基于温度植被干旱指数的黄河源区土壤表层含水量反演[J].水利水电科技进展,2012,32(4):6-9,22,5.基金项目
国家自然科学基金(40830639) （40830639）
国家重点基础研究发展计划(973计划)(2010CB951101) （973计划）
