Detection of environmental changes using hyperspectral remote sensing

llyperspectral remote sensing technique, based on reflectance measurements acquired in a high number of contiguous narrow spectral bands in the visible and near infrared spectral ranges, was used to detect and assess the influence of some adverse enviromnental conditions (viral infection) to horticultural plants. The investigations were focused on the effect of infection caused by Potato Virus Y (PVY) on the spectral reflectance of two potato cultivars, Crone and Arnova. The hyperspectral data were collected by a portable fiber-optics spectrometer in the spectral range 350-1000 rim. The changes in the data sets were assessed by means of digital processing analyses (statistical and derivative analysis, vegetation indices, etc.) in green, red, red edge, and near infrared spectral ranges. Strong relationship was found between the results from the remote sensing technique for the effect of the infection on the spectral behaviour of the plants and serological analyses of the viral concentration using enzyme immunosorbent assay DAS-EUSA.