 The researchers developed a novel method for accurately estimating above-ground biomass AGB, using a snapshot hyperspectral sensor mounted on an unmanned aerial vehicle, UAV. They compared the performance of various models, including those which included crop height or spectral parameters alone, or in combination. The best performing model was found to be one which combined both crop height and spectral parameters. This model had the highest correlation coefficient, R2 equals 0.78, and lowest root mean square error, RMSE equals 1.08T slash HA, among all tested models. The authors concluded that this method could be used to accurately estimate AGB and could be used to guide agricultural management.