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From LiDAR waveforms to Hyper Point Clouds: a novel data product to characterize vegetation structure

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Academic year: 2020

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Figure

Fig. 2. The flowchart of utilizing the hyper point cloud to extract tree attributes.
Fig. 4. The gridding of the hyper point cloud (HPC). (a) 3D view of the HPC with grid-nets
Fig. 5. Preliminary results of (a) the discrete-return (DR)-based digital surface model (DSM) and (b) the HPC-based MAXI DSM, (c) HPC-based MI DSM and (d) HPC-based 99th percentile height (PH) DSM from the hyper point cloud (HPC)
Fig. 6. An example of rescaling original HPC-based maximum intensity surface to generate a CHM-like surface
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