Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging
Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging
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DOI：
10.1007/s11119-007-9038-9
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发表时间：
2007-10-01
影响因子：
6.2
通讯作者：
Wang, Jihua
中科院分区：
文献类型：
--
作者：
Huang, Wenjiang;Lamb, David W.;Wang, Jihua
本研究的目的是评估光谱-光学、光化学反射指数（PRI）用于定量小麦条锈菌（BiotrophPucciniastriiformis）病情指数（DI）的准确性，及其在使用高光谱图像检测疾病中的适用性。在连续两个季节，冠层反射光谱和病情指数（DI）测定五次在生长过程中的小麦植株（3个品种）感染不同数量的黄锈病。第二季还获得了实地的机载高光谱图像。在第一季中，PRI与DI表现出显著的负线性关系（r（2）= 0.91，n = 64），其对品种和作物发育阶段（从Zadoks阶段3-9）均不敏感。将PRI回归方程应用于第二季的实测光谱数据，得出决定系数r（2）= 0.97（n = 80）。同样的PRI回归方程在第二季的机载高光谱图像的应用也产生了一个决定系数的DI的r（2）= 0.91（n = 120）。结果清楚地表明，潜在的PRI量化的黄锈病水平在冬小麦，并作为基础上开发一个近端，或机载/星载成像传感器的黄锈病在冬小麦领域。
The aim of this study was to evaluate the accuracy of the spectro-optical, photochemical reflectance index (PRI) for quantifying the disease index (DI) of yellow rust (Biotroph Puccinia striiformis) in wheat (Triticum aestivum L.), and its applicability in the detection of the disease using hyperspectral imagery. Over two successive seasons, canopy reflectance spectra and disease index (DI) were measured five times during the growth of wheat plants (3 varieties) infected with varying amounts of yellow rust. Airborne hyperspectral images of the field site were also acquired in the second season. The PRI exhibited a significant, negative, linear, relationship with DI in the first season (r(2) = 0.91, n = 64), which was insensitive to both variety and stage of crop development from Zadoks stage 3-9. Application of the PRI regression equation to measured spectral data in the second season yielded a coefficient of determination of r(2) = 0.97 (n = 80). Application of the same PRI regression equation to airborne hyperspectral imagery in the second season also yielded a coefficient of determination of DI of r(2) = 0.91 (n = 120). The results show clearly the potential of PRI for quantifying yellow rust levels in winter wheat, and as the basis for developing a proximal, or airborne/spaceborne imaging sensor of yellow rust in fields of winter wheat.