Ph.D. candidate NCSU Raleigh, North Carolina, United States
• Traditional sampling techniques in forest inventory can be biased • LiDAR-derived tree identification and height help eliminate site index bias in sampling • Dominant-height trees are spatially biased towards beneficial microsite • Stand stratification using LiDAR-derived microtopography and soil information helps reduce bias derived from tree grouping effects
Learning Objectives:
Compare different definitions of dominant height in thinned stands loblolly pine plantations.
Evaluate methods for stand stratification (e.g. soils, topography, and soils and topography) relative to simulations of inventory plots in thinned stands of loblolly pine.
