Abstract
LiDAR tells the user where surfaces are, not what they are. In this study we investigate the potential for waveform LiDAR to provide more information on the nature of the returns over forestry. Waveform LiDAR was acquired for ten Pinus radiata plots in a New Zealand plantation, along with comprehensive leaf area sampling in 2m vertical bands. The decay rate of each waveform peak was shown to be a useful tool for estimating foliage density, and has potential for identifying regions containing ground and understorey. Leaf Area Density (LAD) is an expression of foliage density per unit height, and a relationship between waveform decay rate and LAD was developed with an R2 of 56%. Incorporating the proportion of discrete LiDAR that fell in that band (which itself has an R2 of 50%) improves this model to explain 69% of the variation in LAD. This is a good result, especially given the costs and difficulties in measuring leaf area directly. As foliage density varies dramatically on a fine scale it was not possible to differentiate the nature of every single LiDAR return – but by averaging over a small area local variation in LAD could be easily mapped. Ground returns could be distinguished as having short decays, and broad leafed understorey typically had values between those of the canopy and ground, although surface roughness and slope make it impossible to robustly identify single returns. This study produced a useful model for estimating LAD in Pinus radiata which could easily be extended to other coniferous species.
Department
Center for Coastal and Ocean Mapping
Publication Date
10-2011
Volume
SilviLaser 2011
Journal Title
International Conference on LiDAR Applications for Assessing Forest Ecosystems
Pages
603-614
Conference Date
Oct 16 - Oct 20, 2011
Publisher Place
Hobart, Tasmania, Australia
Document Type
Conference Proceeding
Recommended Citation
Adams, Thomas; Beets, Peter; and Parrish, Christopher, "Another dimension from LiDAR – Obtaining foliage density from full waveform data" (2011). International Conference on LiDAR Applications for Assessing Forest Ecosystems. 798.
https://scholars.unh.edu/ccom/798