LiDAR derived wood quality attributes across the landscape

The proposed research will create value added models that will be used to predict wood quality attributes (wood density and fibre dimensions) on the landscape within Ontarios boreal forest. This will be achieved by modeling stem and stand attributes from airborne laser scanner data (LiDAR). The derived stems and stand attributes (such as tree height, diameter, crown length, and stocking) will be used as predictors of inherent wood quality attributes (Fibre dimensions and wood density). This set of predicted models will benefit the partnering organization by providing them a value-added field or service for use in their forest inventory and other products.

Faculty Supervisor:

Mathew Leitch

Student:

Cole Wear

Partner:

KBM Forestry Consultants Inc.

Discipline:

Resources and environmental management

Sector:

Forestry

University:

Lakehead University