冬小麦遥感估产多种模型研究

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

Study on multiple yield estimation models of winter wheat using remote sensing data

Using NOAA/AVHRR data,observed spectral data and winter wheat density and bio mass data at different stages,winter wheat yield per unit area,planting area and total yield data ,meteorological data,winter wheat development stage data and yield analysis data ,the correlation coefficients between the spectral vegetation indices and winter wheat density,leaf area index and bio mass pass significant test.The spectral monitoring models for winter wheat density,leaf area index and bio mass are established.The yield and planting area estimation models of winter wheat using remote sensing data are established,combined with meteorological models,agronomic models and simulation models,the predicting precision is very high.