小麦病害监测预测气象数据同化方法分析

he effects of meteorological conditions of wheat diseases and wheat disease were summarized, including the progresses of remote sensing monitoring and prediction. The satellite image data of multi-spectral can reflect the characteristics of crop growth information and growth environment information. Crop disease occurrence and development had important meteorological characteristics. The relationship between the occurrence and development of disease and the remote sensing inversion was analyzed. The framework of meteorological data assimilation method for wheat disease monitoring was constructed. It provides the basis for monitoring and forecasting the level and growth of wheat diseases in China.