基于高光谱遥感估测条锈病下的混种小麦产量分析

为利用高光谱遥感监测小麦条锈病，并对条锈病胁迫下的产量进行估测，通过4个对小麦条锈病具有不同抗病性的品种进行混合种植，从中找出产量最高的品种组合，利用高光谱遥感研究不同发病程度的混合种植小麦的冠层光谱，并用光谱数据提取植被指数，研究病情指数和产量与植被指数之间的关系，建立反演模型。结果表明：A（农大195）︰C（0045）︰D（农大211）=1︰1︰1组合的产量最高。在乳熟期时，归一化植被指数与产量相关性高。利用NDVI对各个生育时期的产量及产量构成因素进行模拟，产量在灌浆期时的模拟效果最好。条锈病发生后利用多时相组合的植被指数NDVI对产量进行模拟精度高。

Yield estimate of wheat cultivar mixtures with stripe rust by hyperspectral remote sensing

In order to monitor the wheat stripe rust with hyperspectral remote sensing and estimate the wheat yield. This study was to find the high yield component of four different resistance wheat cultivar on stripe rust mixture. The canopy reflectance of the different stripe rust severity of wheat cultivar mixture was obtained by hyperspectral remote sensing. Vegetation index was chosen from the spectral data, the correlations among DI, yield and spectral vegetation index were analyzed, and inversion models were built. The results showed that the yield of A(nongda195):C(0045): D(nongda211) = 1:1:1 was the highest. At milky maturity, the correlation between vegetation index and yield was high. The remote sensing models in different growth stages for yield and yield component were built by NDVI. At grain filling, the model of yield was best, after the occurrence of wheat stripe rust, NDVI of multi-temporal combination simulated yield with higher precision.