The inversion of crop height based on small-footprint waveform airborne lidar

Due to limited vertical resolution, the waveform of vegetation whose height is relatively low will superpose on soil waveform. Therefore, lidar full-waveform data were mainly used in forestry, but no research in the crop. In this paper, in order to derive crop height, a gaussian decomposition algorithm based on transmitting waveform is adopted to distinguish the crop waveform from soil waveform, and to extract peak location and pulse width from raw waveform data, proving it is a reliable and highly accurate decomposition algorithm. Moreover, the decomposition algorithm lays the proper foundation for obtaining other crop biophysical parameters.