Abstract
The aboveground biomass of crops is an important index reflecting the growth status of crops. It is an important reference for achieving precise water and fertilizer management, yield monitoring and prediction. In this paper, the true height of the vegetation relative to the ground is obtained from the data preprocessing, the point cloud filtering and the normalization of the UAV radar data. The accuracy of biomass and height estimated by the average canopy height (H canopy ) derived from canopy height model (CHM) is analyzed in a variety of resolution(5cm, 10cm, 15cm,20cm,25, 30cm,50cm, 100cm)respectively. The results suggest that the H canopy derived from CHM in 5cm resolution is highest correlated with biomass(R2=0.93, RMSE=698.90kg/ha), the Hcanopy derived from CHM in 50cm resolution is highest correlated with height (R2=0.96, RMSE=4cm). The crop growth parameters could be estimated based on UAV LiDAR across broad spatial scales.
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