In order to establish the relationship between spectral reflectance and grass yield, we used a UAV-based
hyperspectral camera and ground-based spectroradiometry to image a number of cultivated grasslands of
different age and productivity in northern Norway. In addition, samples were taken to determine biomass
and grass species composition. We investigated a number of vegetation indices as well as regression
analysis to identify which spectral reflectance features can be used to map crop yield. We found poor
relationships between NDVI and yield, but were able to obtain an acceptable relationship using all 15
available bands in the visible-near infrared range. Bands in the near infrared appear to contain most of
the information related to yield.
