Modelling temporal change in inventory attributes from a LiDAR-derived inventory for the United Counties of Prescott and Russell, Ontario: A comparison of random forest and linear regression methods

This study assessed the feasibility of updating a forest inventory derived from 2014 Light Detection and Ranging (LiDAR) data using ground plot data collected in 2021 to model change in basal area, volume, and average stand height. These attributes were determined for a subset (n=32) of stands from...

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Bibliographic Details
Main Author: Benjamin Gwilliam
Format: Article
Language:English
Published: Canadian Institute of Forestry 2022-11-01
Series:The Forestry Chronicle
Subjects:
Online Access:https://pubs.cif-ifc.org/doi/10.5558/tfc2022-009
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