基于冠层反射光谱的小麦白粉病严重度估测

doi:10.3724/SP.J.1006.2013.01469

摘要/Abstract

摘要：

明确小麦白粉病冠层光谱敏感波段并估算病情严重度，是大面积高空遥感监测小麦白粉病、实现精确防控的基础。采用人工诱发的大田、盆栽和病圃试验，测量不同生育时期对不同发病等级的小麦白粉病冠层光谱，并同步调查发病严重度。结果表明，可见光350~710 nm光谱反射率随病情加重呈上升趋势，580~710 nm为遥感监测白粉病的敏感波段，近红外波段光谱反射率在病害处理间变幅较大，且与病情严重度相关性较差。修正型病情指数较常规病情指数与对应光谱反射率的相关性显著提高。利用高光谱特征参数与白粉病严重度间的相关回归分析，红边宽度最适宜指示白粉病发生及发展态势，拟合精度(R²)为0.811，检验相对误差(RE)为17.7%，而mND705、SIPI、CTR2和TSAVI在相关分析中也表现相对较好(r>0.6)，但由于试验间兼容性差, 不宜建立统一回归方程。以相对光谱指数ΔMSAVI和ΔmND705与白粉病严重度建立的模型决定系数较高(R²>0.76)，RE分别为18.4%和19.4%，可较好反演冠层尺度病情严重度。可见，小麦白粉病冠层光谱特征明显，建立的病害反演模型精度高，对精确防控具有应用价值。

关键词: 小麦白粉病, 高光谱, 病情严重度, 反演模型

Abstract:

Understanding spectrum characteristics and sensitive bands of wheat infected by Blumeria graminis f. sp. tritici (Bgt) and estimatiing the disease severity will provide a basis for monitoring and subsequently accurately controlling powdery mildew in wheat planted in large scales using aerial remote sensing. Canopy reflectance of winter wheat infected by artificial inoculationof Bgt with different severity levels was measured in disease nursery, field, and pot experiments, and the severity levels in different growth phases were also investigated at the same time. The results indicated that spectrum reflectance increased significantly in visible light region (350–710 nm) with the increase of disease severity level, and the light region between 580 nm to 710 nm was the sensitive bands to wheat powdery mildew, which varied greatly in near-infrared region (710–1100 nm) across treatments with different disease severity levels. However, the correlation between spectrum reflectance and traditional disease index (DI) was low. When the conventionalDI was replaced by modified DI, the correlation was improved significantly. An integrated linear regression equation of disease severity level to red edge width (Lwidth) described the dynamic pattern of disease severity level in wheat, with R² of 0.811 and relative error (RE) of 17.7%. Besides, correlation coefficients between spectral parameters (mND705, SIPI, CTR2, and TSAVI) and modified DI were higher than 0.6. No common integrated regression equation could be establishhed due to poor compatibility among experiments. The relative spectral indices (ΔMSAVI and ΔmND705) exhibited high correlations (R² > 0.76) with the disease sensitive level, with RE values of 18.4% and 19.4%, respectively. The results suggested that the models with sensitive spectral indices could retrieve and forecast the disease severity level accurately in a large area.

Key words: Wheat powdery mildew, Hyperspectral remote sensing, Severity level, Retrieval model

冯伟,王晓宇,宋晓,贺利,王永华,郭天财. 基于冠层反射光谱的小麦白粉病严重度估测[J]. 作物学报, 2013, 39(08): 1469-1477.

FENG Wei,WANG Xiao-Yu,SONG Xiao,HE Li,WANG Yong-Hua,GUO Tian-Cai. Estimation of Severity Level of Wheat Powdery Mildew Based on Canopy Spectral Reflectance[J]. Acta Agron Sin, 2013, 39(08): 1469-1477.

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