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作者	单位
董锦绘，杨小冬，杨贵军，王宝山	(1.河南理工大学测绘与国土信息学院，河南焦作454000 2.北京农业信息技术研究中心遥感技术部，北京 100097 3.国家农业信息化工程技术研究中心遥感技术部，北京 100097)

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中文摘要:

为探究小麦条锈病病情状况与冠层光谱的关系，通过田间人工接种条锈病菌，在不同生育期测定各个种植小区的冠层光谱、病情指数，对测定的光谱进行了连续统去除，提取光谱吸收深度、吸收峰总面积、吸收峰左端面积、对称度等吸收特征参数，计算光谱敏感度值，以病害区光谱吸收特征参数和光谱敏感度两个指标定量分析了小麦病害随生育期推进的变化程度，并且以不同生育期的光谱敏感度值和全生育期吸收特征参数为自变量建立回归模型，精确反演了小麦全生育期的病情指数。结果表明，以光谱敏感度值为自变量的组合模型预测值拟合度为0.97，以光谱吸收特征参数为自变量的模型预测值拟合度为0.95，均达到显著水平。

英文摘要:

The canopy spectral reflectance of wheat infected stripe rust was measured and the disease indices(DI) were investigated in the field at different growth stages respectively. The canopy spectra was treated with smoothing and continuum removal, and spectral absorption feature parameters,such as absorption depth(D), absorption peak overall area,absorption peak at the left end of the area and symmetry were extracted. The spectral sensitivity was calculated, and the infection degree at different growth stage was analyzed based on the prediction spectral absorption feature parameters and spectral sensitivity, which estimated the whole wheat fertility period of disease index. The regression models were established by using the spectral sensitivity and the absorption characteristic parameters as independent variables, and the disease index of the whole growing period of wheat was accurately retrieved. The results indicated that, there are not many differences of canopy spectral reflectance and spectral absorption feature parameters between health and disease wheat in the flagging stage because of the mild rust symptoms. Spectral sensitivity of each stage as variable has the better estimation precision for DI, with the predictive fitting degree of 0.97, which is better than the characteristic parameters of the spectrum absorption.

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