In this paper

the shuffled complex evolution（SCE

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A） method was used to assimilate remotely sensed data into CERES

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heat model.In the process of model assimilation

leaf area index（LAI） was considered as the state variable.The simulated main growth stages and yields after assimilation were compared with simulated growth stages and yields with CERES

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heat using actual input

and with measured data in the fields.The measured data was collected from four fields in different locations and planting conditions in Shunyi district and Beijing.The results show that the accuracy of simulation results of CERES

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heat model after assimilation is not very sensitive to LAI errors and the number of LAI data.The advantage of the SCE

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A method will help to realize wheat growth monitoring and yield prediction.