When stripe rust disease occurs

chlorophyll cells are destroyed 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 data were acquired from winter booting stage to milking stage

and the Stripe Rust disease of winter wheat was analyzed using the hyperspectral 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 of chlorophyll well in red band and the height 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.