Proposed joint model for high-dimensional LiDAR and forest variables Yields LiDAR and forest variable prediction at partially and unobserved locations Automatic LiDAR variable selection to explain variability in AGB Bayesian modeling paradigm provides full uncertainty quantification. Explicit spatial modeling of within and among LiDAR signals and forest variables