10 February 2017 Individual tree shape modeling for canopy delineation from airborne LiDAR data
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Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102501Q (2017) https://doi.org/10.1117/12.2267155
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China
Abstract
In this paper, a method for individual tree shape modeling and canopy coverage delineation is provided for high density airborne LiDAR data. Three basic 3-D canopy shape models are introduced as fundamental assumptions, and then an iterative algorithm for calculating tree canopy window is implemented. After that, the prototype test is carried out with simulated forest point data which visually shows a valid result. After that, a real mixed forest LiDAR dataset is being put into experiment. Based on the same theory, the output and a statistical analysis reveals that the proposed method can yield an effective and distinguishable extraction of different tree canopy coverage delineation.
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Likun Liu, "Individual tree shape modeling for canopy delineation from airborne LiDAR data", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102501Q (10 February 2017); doi: 10.1117/12.2267155; https://doi.org/10.1117/12.2267155
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