Modelling vegetation understory cover using LiDAR metrics
L. A. Venier, T. Swystun, M. J. Mazerolle, D. P. Kreutzweiser, K. L. Wainio-Keizer, K. A. McIlwrick, M. E. Woods, X. Wang
This paper evaluates LiDAR metrics for predicting forest understory cover using mixed-effects and Random Forest models, finding high predictive accuracy with voxel-based metrics.
bioRxiv · Jul 10, 2019Ecology