基于定量遥感反演与生长模型耦合的水稻产量估测研究

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

作物遥感估产是农业遥感技术应用与研究的重点领域。在黑龙江省不同的种植区域下,采用GPS定位调查、定量遥感反演与产量形成过程模型相偶合的研究方法,进行了水稻产量估测研究。结果显示,水稻产量的预测值在6740～9600kg/hm2之间,实测值在6500～9500kg/hm2之间,二者总体上表现较为一致,预测水稻产量的RMSE为494.62kg/hm2,相对误差在0.23%～12.39%之间,平均为5.13%。表明采用定量遥感反演与生长模型耦合的模式可以对不同区域的水稻产量形成情况进行监测预报。

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/hm^2 was consistent with the measured yield of 6500～9600 kg/hrn2, and their RMSE and average relative error were 494.62 kg/hm^2 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.