Protocols

Uses full-waveform LiDAR returns processed through adaptive deconvolution and individual tree detection algorithms to map forest structure metrics including tree density, height distributions, and bas...

Hierarchical Bayesian models predicting vital rates from individual and neighborhood characteristics, with population-level random effects and model selection via WAIC.

Extraction of environmental variables from spatial data platform using zonal functions to calculate average climate values within tree polygon boundaries. Integrates snowpack, temperature, and topogra...

Region-growing algorithm that iteratively incorporates LiDAR points into candidate tree canopies starting from seed locations identified as local height maxima with height-dependent neighborhoods.

A two-stage Bayesian hierarchical approach that identifies unique individuals across LiDAR scans by modeling observed locations as noisy transformations of latent true locations, then propagates linka...

Deriving individual-scale species data from co-acquired imaging spectrometry data.