ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES

Every year, diseases cause lower sugar beet qualities compared to the average. For this reason, both field data and remote sensing data are needed to detect and analyse diseases affecting this crop. The goal of this study is to show that hyperspectral measurements present the differences between healthy and diseased sugar beets concerning their spectral reflectance. Therefore, a hyperspectral spectroradiometer was mounted stationary on a developed measurement device to collect field data. To indicate the difference between healthy and unhealthy plants, the reflection results were elaborated with hyperspectral and spectral vegetation indices. This paper discusses a methodological approach to explain the contrast between healthy and diseased sugar beets by using a hyperspectral spectroradiometer.