| Model ID: | M00038 | ||||||
| Model Name: | Model of LiDAR returns from forest canopies | ||||||
| Encoders: |
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| Key words: | Forest、LiDAR、waveform | ||||||
| Model Type: | Theoretical model | ||||||
| Latest Modified: | 2014/9/17 0:00:00 | ||||||
| Submission Date: | 1998/11/3 0:00:00 | ||||||
| Abstract: | The model was developed in 2000 by Professor Guoqing Sun at University of Maryland and Professor Kenneth Jon Ranson at NASA Goddard Space flight Center. It was mainly used to simulate the LiDAR waveforms from forest scene described by cubic cells. | ||||||
| Equation: |
| 1 |
Name: cell size in (x,y)
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Parameter type: double
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Physic Entity: cell size in (x,y)
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| 2 |
Name: number of species in the stand
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Parameter type: int
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Physic Entity: number of species in the stand
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| 3 |
Name: reflectance of ground surface
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Parameter type: double
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Physic Entity: reflectance of ground surface
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| 4 |
Name: slope, azimuth in degrees
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Parameter type: int
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Physic Entity: slope, azimuth in degrees
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| 5 |
Name: Maximium dimensions of the stand: MaxX, MaxY, MaxZ
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Parameter type: int
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Physic Entity: Maximium dimensions of the stand: MaxX, MaxY, MaxZ
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| Title: | Modeling lidar returns from forest canopies | ||||||||||||
| Authors: |
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| Cited by: | Geoscience and Remote Sensing, IEEE Transactions on | ||||||||||||
| Abstract: | Remote sensing techniques that utilize light detection and ranging (lidar) provide unique data on canopy geometry and subcanopy topography. This type of information will lead to improved understanding of important structures and processes of Earth's vegetation cover. To understand the relation between canopy structure and the lidar return waveform, a three-dimensional (3D) model was developed and implemented. Detailed field measurements and forest growth model simulations of forest stands were used to parameterize this vegetation lidar waveform model. In the model, the crown shape of trees determines the vertical distribution of plant material and the corresponding lidar waveforms. Preliminary comparisons of averaged waveforms from an airborne lidar and model simulations shows that the shape of the measured waveform was more similar to simulations using an ellipsoid or hemi-ellipsoid shape. The observed slower decay of the airborne lidar waveforms than the simulated waveforms may indicate the existence of the understories and may also suggest that higher order scattering from the upper canopy may contribute to the lidar signals. The lidar waveforms from stands simulated from a forest growth model show the dependence of the waveform on stand structure. |
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