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- W2017042893 abstract "LiDAR (Light Detection and Ranging) can provide accurate remote sensing data for extracting surface information, and large footprint LiDAR has demonstrated great potential for accurately measuring forest canopy characteristics, which are important for regional and global climate change studies. In this study the Geometric Optical Model, Radiative Transfer Model and hotspot condition are used to explore the relationship between canopy structure and large footprint LiDAR return waveforms. A simplified model was simulated, and detailed analysis was made. The model was improved by adding an extinction coefficient and a scatter coefficient, and then some simplified parameters are introduced to the model. The new 3D model is simulated by considering the characteristics of large footprint LiDAR and forest stand. The experiment results show that terrain slop can influence LiDAR return waveform shapes greatly, while tree height just affects the starting position of waveforms, and the effects of terrain slop and extinction is reduced obviously. The new model was validated with field data of Changbai Mountain, and the results have good agreement with GLAS data, and relatively, the improved model and simulation of waveform fit the actual return waveform of large footprint LiDAR system." @default.
- W2017042893 created "2016-06-24" @default.
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- W2017042893 date "2009-10-30" @default.
- W2017042893 modified "2023-09-29" @default.
- W2017042893 title "Modeling and simulation return waveforms from forest canopy of large footprint LiDAR" @default.
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- W2017042893 doi "https://doi.org/10.1117/12.833520" @default.
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