基于双极化双时相RADARSAT-2的冬小麦估产模型研究

为了给农业部门提供准确的冬小麦产量评估，应用安徽省淮河流域4月底和5月初双极化星载合成孔径雷达(SAR)影像——RADARSAT-2和该区域冬小麦收割前（5月底）试验田产量资料，应用不同拟合方法建立冬小麦产量和2个时相（4月底和5月初）后向散射系数关系的估产模型；选择其余试验田对其检验，优选出最佳的估产模型，实现冬小麦大面积估产。结果表明，经计算得到了超过80%精度的估产模型和冬小麦较准确的估产结果。说明在冬小麦收割前1个月左右应用SAR进行估产，这种思路和方法是行之有效的。

Model for Estimating Winter Wheat Yield Based on RADARSAT-2 of Double-polarization and Double-time Phase

In order to provide winter wheat yield assess for agriculture department, experimental fields of winter wheat yield data in May before harvest, and the synthetic aperture radar (SAR)double polarized: RDARSAT-2 that were photographed in April and May in Huaihe River Region were adopted for winter wheat yield estimating. Then yield estimating model was established using different fitting methods between winter yield and backscatter coefficient of 2 time phase. The other experimental fields were chosen to test estimating models. Finally, best estimating model was chosen to accomplish winter wheat yield estimating. The results showed that: exceeding 80% precision yield estimating model and yield estimating result were obtained. Using SAR for yield estimating about a month before harvest, it illustrated these ideas and methods were effective.