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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (2) : 73-79     DOI: 10.6046/gtzyyg.2018.02.10
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Estimation of soil moisture with drought indices in Huaihe River Basin of East China
Wen ZHANG1(), Yan REN2(), Xiaolin MA3, Yijie HU4
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2. Patent Examination Cooperation Center of the Patent Office,SIPO,Zhengzhou 450046,China
3. Administration of Baisha Reservoir, Yuzhou 461670, China
4. School of Resource and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
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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 R 2 values are around 0.7. The method in this study has great application value for estimating soil moisture in large area.

Keywords MODIS      comprehensive drought index      correlation analysis      soil moisture     
:  TP79  
Corresponding Authors: Yan REN     E-mail: wen_zhang@whu.edu.cn;1274294079@qq.com
Issue Date: 30 May 2018
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Wen ZHANG
Yan REN
Xiaolin MA
Yijie HU
Cite this article:   
Wen ZHANG,Yan REN,Xiaolin MA, et al. Estimation of soil moisture with drought indices in Huaihe River Basin of East China[J]. Remote Sensing for Land & Resources, 2018, 30(2): 73-79.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.02.10     OR     https://www.gtzyyg.com/EN/Y2018/V30/I2/73
Fig.1  Sketch map of study area and ground sites
Fig.2  Comparison of fitting relationships
线性模型 N R R2 F Significance F
y=0.265 6x+0.048 6 81 0.87 0.75 434.67 7.43e-34
Tab.1  Linear statistical relationship between measured soil moisture and CDI value in Huaihe River Basin
Fig.3  Distribution of soil moisture in Huaihe River Basin
Fig.4  Comparison of measured soil moisture and estimated soil moisture in Huaihe River Basin
深度 时间 样本数 MaxE ABVR RMSE 平均
RMSE
5月11日 84 0.055 4 0.024 9 0.030 9
0~10 cm 5月21日 89 0.036 5 0.019 7 0.013 6 0.022 3
6月1日 72 0.013 1 0.019 0 0.022 6
5月11日 85 0.117 4 0.032 9 0.040 3
10~20 cm 5月21日 90 0.102 2 0.026 3 0.030 1 0.036 0
6月1日 72 0.096 3 0.027 6 0.037 8
Tab.2  Error analysis of measured soil moisture with estimated soil moisture
Fig.5  Correlation analysis of measured 0~10 cm soil moisture and estimated soil moisture
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