A multi-sensor remote sensing-based deep learning approach was developed for generating high-resolution (5~m) vegetation maps for the western Alaskan Arctic on the Seward Peninsula, Alaska. This data
The collected datasets contains gridded canopy height, clumping index, leaf area index, leaf nitrogen content,leaf phorsphorus content, specific leaf area, river maps, tree density, Vcmax based on opt
