Knowledge graph centered on Forest inventory plot sampling with 75 nodes and 124 connections. Top connected: Forest responses to increasing aridity and warmth , Delphinium, Spruce, Atriplex canescens, Populus.
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 basal area at landscape scales. Validation performed through field inventory matching.
Synthesized from method descriptions across 15 papers using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Abiotic influences on continuous conifer forest structure across a subalpine watershed (2025), Remote Sensing of Environment. The protocol was originally introduced by Investigating Microtopographic and Soil Controls on a Mountainous Meadow Plant Community Using High-Resolution Remote Sensing and Surface Geophysical Data (2019), Journal of Geophysical Research: Biogeosciences. Implementations in other papers (listed below) may differ.