Grain Yield Estimating for Hubei Province Using Remote Sensing Data Take Semilate Rice as an Example

Crop yield estimation models using remote sensing data were developed to forecast crop yield for Hubei province. Firstly, simulated counties were chosen using productivity zoning method, and the fluctuated yield was obtained by analyzing history trend. Secondly, the correlation coefficient between fluctuated yield and remote sensing index was calculated. Then, the index with the highest correlation coefficient was selected as key factor to build simple linear regression models to estimate the crop yield. Finally, the error analysis was processed by comparing the actual crop yield from statistic data with that from modeling results. The results indicate that the precision error ranges from -14.38% to 11.31% compared with statistics data, and the coefficient of determination R² is 0.872.The results calculated by this method meet the accuracy requirements for the crop yield estimation in most part of Hubei province, and can support the decision making of the government and corporations.