Protocols

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

Calculation of potential solar radiation at study sites using topographic variables including sun angle, latitude, ground slope, local shading, and day length.

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...

Gap-filling areas outside Upper East River domain with interpolated data from 3m ASO DEM, harmonized with NEON DEM and filtered to remove small pits and peaks.

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