Estimating rice yield based on quantitative remote sensing inversion and growth model coupling

Estimating crop yield using remote sensing is a key research and application field in agricultural remote sensing. Using the research method of GPS positioning survey, quantitative remote sensing inversion and growth models coupling, the authors estimated rice yield under specific environment conditions in different planting areas of Heilongjiang Province in Northeast China. The results show that estimated rice yield of 6740～9600 kg/hm2 was consistent with the measured yield of 6500～9600 kg/hm2, and their RMSE and average relative error were 494.62 kg /hm2 and 5.13% with the range of 0.23%～12.39%, respectively. The coupling model may be applicable for rice yield estimation under different environment conditions. Yet, more experiment data in different eco-environmental conditions are required for wide test of the present model.