Estimation of above-ground forest biomass using metrics based on Gaussian decomposition of waveform lidar data

@article{Zhuang2015EstimationOA,
  title={Estimation of above-ground forest biomass using metrics based on Gaussian decomposition of waveform lidar data},
  author={W. Zhuang and G. Mountrakis and J. Wiley and C. Beier},
  journal={International Journal of Remote Sensing},
  year={2015},
  volume={36},
  pages={1871 - 1889}
}
Large-footprint waveform light detection and ranging (lidar) data have been widely used in above-ground forest biomass estimation. Waveform metrics derived from basic statistics (e.g. percentile of energy) of the lidar waveform, such as canopy height and height of median energy, have been applied to biomass estimation in numerous studies. In this study, a set of metrics based on Gaussian decomposition (GD) results were developed and evaluated for forest above-ground biomass estimation using… Expand
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