Topographic patterns in LiDAR-based forest structure

The first paper from Marshall Worsham’s dissertation is out in Remote Sensing of Environment! It shows that, in the East River watershed, which is in some of the highest headwaters of the Colorado River, forest structure is most strongly associated with snow and elevation. Marshall developed and has made available a work flow for using waveform LiDAR from NEON flights to map and measure individual trees and then extract forest metrics like 95th percentile of height, quadratic mean diameter, and basal area at any grid resolution. We’re now using his results to initialize simulations using FATES, a vegetation demographic model.