Estimation of Rice Yield with a Process-Based Model and Remote Sensing Data in the Middle and Lower Reaches of Yangtze River of China |
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| Authors: | Fengmei Yao Dan Liu Jiahua Zhang Peijuan Wang |
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| Institution: | 1.College of Earth Sciences,University of Chinese Academy of Sciences,Beijing,China;2.Institute of Eco-environment and Agro-meteorology,Chinese Academy of Meteorological Sciences,Beijing,China;3.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing,China;4.College of Geosciences,Yangtze University,Wuhan,China |
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| Abstract: | Accurate simulation of rice yield is very important and vital for agriculture and food security. This study has analyzed the applicability of the RS-P-YEC (the remote-sensing-photosynthesis-yield estimation for crops) model for the rice yield simulation of the Middle and Lower Reaches of Yangtze River (MLRYR) in China. The simulated rice yield was compared with the actual statistical dataset, so as to obtain the accuracy of the model results. The results showed that the correlation coefficients (R) between simulated rice yield and statistical data is 0.708 (P < 0.01), the average relative errors were 9, 6.5, 7.2 %, and the root mean square errors were 777.5, 606.4, 693.4 kg/ha in 2007, 2008 and 2009, respectively. It indicated that the RS-P-YEC model can be used to estimate rice yield in the MLRYR region of China. |
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