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摘要： 由于雷达遥感的全天候、全天时的优势,使之成为南方大范围农业信息动态监测的最佳遥感手段。应用星载合成孔径雷达(SAR)—RadarSat-2,选择安徽省涡阳县冬小麦产区进行测产研究。利用SAR的多极化特点(HH/HV/VH/VV),针对此卫星影像比较选择VV极化,并在试验田取样,获得试验田产量,从而建立产量和后向散射系数关系的线性测产模型,在提取冬小麦种植区基础上,应用此模型对冬小麦进行大面积产量测产。通过计算,得到了超过80%精度的测产模型和冬小麦较准确的测产结果。研究结果表明:在冬小麦收割前一周左右应用SAR进行测产,从而为农保提供服务,这种思路和方法是行之有效的。 关键词： 合成孔径雷达(SAR);  RadarSat-2;  冬小麦;  测产     Abstract: Radar remote sensing is the most appropriate for agriculture monitoring and crops yield estimating as its capability of all-weather and day/night imaging.Especially,cultivated areas are most often cloudy and rainy in South China.The synthetic aperture radar—RadarSat-2 was adopted for winter wheat yield estimating in Guoyang County of Anhui Province.Using multi-polarization(HH/HV/VH/VV),the VV polarization was chosen according to this satellite image.And sampling in experiment lands,the linear yield estimating model was built based on yield and backscatter coefficient.Subsequent the yield estimating in the big areas winter wheat production was processed after winter wheat planting regions were extracted.After computing,above 80% precision yield estimating model and yield estimating results for winter wheat were obtained.Therefore,accurating yield estimating was attained.Applying SAR to yield estimating for winter wheat harvesting before about a week,then providing service to agriculture insurance,it illustrates these idea and method are effective.

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