Chad Babcock

Latest

• Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
• Remote sensing to reduce the effects of spatial autocorrelation on design-based inference for forest inventory using systematic samples
• Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
• Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables
• Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data
• LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients
• Dynamic spatial regression models for space-varying forest stand tables
• Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data