Assimilating MODIS-LAI into Crop Growth Model with EnKF to Predict Regional Crop Yield

Abstract : Regional crop yield prediction is a vital component of national food security assessment. Data assimilation method which combines crop growth model and remotely sensed data has been proven the most potential method in regional crop production estimation. This paper takes Hengshui district as study area, WOFOST as crop model, MODIS-LAI as observation data to test and verify the efficiency of EnKF assimilation method. The results show that the precision of crop yield estimation are obviously improved with EnKF assimilation, in the WOFOST potential level the R2 improved from 0.10 to 0.38 and RMSE was reduced from 2480 kg/ha to 880kg/ha. Our study indicates that EnKF assimilation method has great potential in regional crop production forecasting.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.410-418, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_46〉
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Sijie Wu, Jianxi Huang, Xingquan Liu, Jinlong Fan, Guannan Ma, et al.. Assimilating MODIS-LAI into Crop Growth Model with EnKF to Predict Regional Crop Yield. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.410-418, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_46〉. 〈hal-01361167〉

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