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30 October 2009 Modeling and simulation return waveforms from forest canopy of large footprint LiDAR
Zhaoyan Liu; Ran Li; Xiaohuan Xi; Lingli Tang; Chuanrong Li
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74981L (2009) https://doi.org/10.1117/12.833520
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Zhaoyan Liu, Ran Li, Xiaohuan Xi, Lingli Tang, and Chuanrong Li "Modeling and simulation return waveforms from forest canopy of large footprint LiDAR", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981L (30 October 2009); https://doi.org/10.1117/12.833520
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