利用多时相的高光谱航空图像监测冬小麦条锈病

冬小麦发生锈病 ,叶绿素被大量破坏 ,水分蒸滕量大大增加 ,叶片细胞大小、形态、叶片结构发生了改变 ,从而改变了叶片和冠层的光学特性 ,使得遥感探测与评价成为可能。利用多时相的高光谱航空飞行图像数据 ,了解、分析和发现条锈病病害对作物光谱的影响及其光谱特征 ;设计了病害光谱指数 ,成功地监测了冬小麦条锈病病害程度与范围。对比 3个生育期的条锈病与正常生长冬小麦的PHI图像光谱及光谱特征 ,发现 :5 6 0— 6 70nm黄边、红谷波段 ,条锈病病害冬小麦的冠层反射率高于正常生长的冬小麦光谱反射率 ;近红外波段 ,条锈病病害的冠层反射率低于正常生长的冬小麦光谱反射率 ;条锈病冬小麦冠层光谱红谷吸收深度和绿峰的反射峰高度都会减小

Monitoring Stripe Rust Disease of Winter Wheat Using Multi-temporal Hyperspectral Airborne Data

When stripe rust disease occurs,chlorophyll cells are destroued and the plant water content is drastically transpired.The optical properties of plant leaves also vary with crop's biochemical status,which makes it possible to monitor crop's stripe rust by remotely sensed date.The multi-temporal hyperspectral airborne image date were acquired from winter booting stage to milking stage,and the Stripe Rust disease of wenter wheat was analyzed using the hypwespectral airborne data.Compared with normal wheat,the image spectral reflectance of disease wheat is higher in 560-670nm bands,lower in near infrared bands;the absorption depth pf chlorophyll well in red band and the beight of chlorophyll peak in green band are relatively reduced.Therefore,a novel spectral index for stripe rust disease was successfully designed for estimation of the stripe rust disease index,and the degree and area of stripe rust disease were successfully remotely sensed from the multi-temporal hyperspectral data based on the disease spectral index.