Comparison on Winter Wheat Yield Estimating Models Based on Radarsat-2 and HJ Satellite in Huaihe River Region

基于Radarsat-2和环境星的淮河流域冬小麦估产模型比较研究（英文）

The establishment of crop yield estimating model based on microwave and optical satellite images can conduct the mutual verification of the accuracy of the reported crop yield and the precision of the estimating model. With Shou County and Huaiyuan County of Anhui Province as the experimental fields of winter wheat producing areas, the linear winter wheat yield estimating models were established by adopting backscattering coefficient and Normalized Difference Vegetation Index（NDVI） based on images from the synthetic aperture radar（SAR）—RDARSAT-2 and HJ satellite photographed in mid-April and early May, 2014, and then comparisons were conducted on the accuracy of the yield estimating models. The accuracies of the yield estimating models established using co-polarized（HH） and cross-polarized（HV） modes of SAR in Jiangou Town, Shou County were 68.37% and 74.01%, respectively, while the accuracies in Longkang Town, Huaiyuan County were 63.10%and 69.10%, respectively. Accuracies of yield estimating models established by HJ satellite data were 69.52% and 66.43% in Shou County and Huaiyuan County, respectively. Accuracies of winter yield estimating model based on HJ satellite data and that based on SAR were closed, and the yield difference of winter wheat in the lodging region was analyzed in detail. The model results laid the foundation and accumulated experience for the verification, parameters correction and promotion of the winter wheat yield estimating model.

建立基于微波和光学卫星影像的农作物估产模型,可对上报作物产量准确性及估产模型精度进行相互验证。应用2014年4月中旬和5月初星载合成孔径雷达(SAR)——RADARSAT-2和同期HJ影像各两幅,选择安徽省寿县和怀远县冬小麦产区,通过试验田产量和反演的雷达影像后向散射系数,以及从环境星计算得到的归一化植被指数(NDVI),建立冬小麦线性估产模型,在此基础上对估产模型精度进行比较:通过星载SAR的同极化HH和交叉极化HV方式建立的估产模型对寿县涧沟镇冬小麦估产精度分别为68.37%和74.01%,对怀远县龙亢镇冬小麦估产精度分别为63.10%和69.10%;通过HJ星建立的估产模型对寿县涧沟镇和怀远县龙亢镇冬小麦估产精度分别为69.52%和66.43%。基于HJ星影像得到的冬小麦估产模型精度和基于SAR得到的估产模型精度接近。模型结果为上报产量准确性、冬小麦估产模型验证、参数纠正及推广奠定基础和积累经验。