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综合冬小麦地面光谱资料及相应的农学参数资料，ＮＯＡＡ／ＡＶＨＲＲ 资料，历年各县冬小麦单产、播种面积、总产资料，历年新疆各站气象资料，监测点历年冬小麦发育期、密度、产量分析等资料，证明地面光谱植被指数与冬小麦密度、生物量、叶面积指数关系密切，从而建立了密度与生物量的光谱监测模型，进而建立了北疆试验区各层冬小麦种植面积估算和产量预报卫星遥感模型，辅以冬小麦产量农业气象预报模型、农学模型及模拟模型，自１９９４ 年投入应用以来的结果表明，这套模型预报精度高、效果很好
Based on the data of winter wheat ground surface spectral data and corresponding agronomic parameters, NOAA / AVHRR data, winter wheat yield, sown area and total production data in all counties in the past years, meteorological data of various stations in Xinjiang over the years, monitoring point winter wheat growth period, density, yield analysis The results showed that the spectral index of surface vegetation was closely related to the density, biomass and leaf area index of winter wheat, and the spectral monitoring model of density and biomass was established. Then the satellite remote sensing model of winter wheat planting area estimation and yield prediction , Supplemented by winter wheat yield agricultural weather forecasting model, agronomic model and simulation model, put into use since 1994, the results show that this model has high prediction accuracy, the effect is very good