国土资源遥感2018，Vol.30Issue(2)：73-79,7.DOI:10.6046/gtzyyg.2018.02.10
基于综合干旱指数的淮河流域土壤含水量反演
Estimation of soil moisture with drought indices in Huaihe River Basin of East China
张文 1任燕 2马晓琳 3胡艺杰4
作者信息
- 1. 武汉大学遥感信息工程学院,武汉 430079
- 2. 国家知识产权局专利局专利审查协作河南中心,郑州450046
- 3. 河南省白沙水库管理局,禹州 461670
- 4. 华北水利水电大学资源与环境学院,郑州 450045
- 折叠
摘要
Abstract
In this study,the authors examined the estimation of soil moisture with various drought indices in Huihe River Basin of East China. MODIS data were used for the estimation. Such drought indices as apparent thermal inertia (ATI) and vegetation supply water index (VSWI) were used for the estimation. On the basis of these drought indices,the authors integrated the drought indices into a comprehensive drought index(CDI) for the study to estimate soil moisture in East China. As dimensionless data,CDI cannot represent the actual soil moisture. The authors introduced the measured data, and built the correlation model between CDI and measured data. CDI can therefore be converted to soil moisture through the model. Finally,the authors used the measured data to verify the reliability and accuracy of the estimation results. The results show that the correlation between measured data and estimation data is high, and R2values are around 0.7. The method in this study has great application value for estimating soil moisture in large area.关键词
MODIS/综合干旱指数/相关性分析/土壤含水量Key words
MODIS/comprehensive drought index/correlation analysis/soil moisture分类
计算机与自动化引用本文复制引用
张文,任燕,马晓琳,胡艺杰..基于综合干旱指数的淮河流域土壤含水量反演[J].国土资源遥感,2018,30(2):73-79,7.
