论文部分内容阅读
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。
Due to the all-weather and all-day advantage of radar remote sensing, it becomes the best remote sensing method for the dynamic monitoring of large-scale agricultural information in the South China. Application of spaceborne synthetic aperture radar (SAR) -RadarSat-2, select Guoyang County, Anhui Province, winter wheat production areas for production research. Based on the multipolarization characteristics (HH / HV / VH / VV) of SAR, the VV polarization was selected for this satellite image comparison and sampled in the experimental field to obtain the experimental field yield, thus establishing a linear model for measuring the relationship between yield and backscattering coefficient Based on the extraction of winter wheat planting area, this model was applied to large-area yield measurement of winter wheat. Through the calculation, the test and production model with more than 80% accuracy and the more accurate test result of winter wheat were obtained. The results show that this method and method are effective in the application of SAR to measure the yield of winter wheat about one week before the harvest.