Protocols

Machine learning approach for snow cover mapping using PlanetScope imagery with multiple model configurations incorporating spectral, topographic, and vegetation variables. Performance evaluation acro...

Machine learning approach using Random Forest algorithms to downscale coarse resolution climate data to higher spatial resolution using topographic predictors. Models are trained on relationships betw...

Processing of discrete-return LiDAR data using lidR package to generate canopy height models. Includes normalization, subsetting, and reprojection.

Applies subcanopy solar radiation model from Bode et al. 2014 to account for vegetation shading greater than 1m in height.