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Proceedings Paper

Modeling and simulation return waveforms from forest canopy of large footprint LiDAR
Author(s): Zhaoyan Liu; Ran Li; Xiaohuan Xi; Lingli Tang; Chuanrong Li
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981L (30 October 2009); doi: 10.1117/12.833520
Show Author Affiliations
Zhaoyan Liu, The Academy of Opto-Electronics (China)
Graduate School of Chinese Academy of Sciences (China)
Ran Li, The Academy of Opto-Electronics (China)
Xiaohuan Xi, The Academy of Opto-Electronics (China)
Lingli Tang, The Academy of Opto-Electronics (China)
Chuanrong Li, The Academy of Opto-Electronics (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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