Predictive Modeling of Black Spruce (Picea mariana (Mill.) B.S.P.) Wood Density Using Stand Structure Variables Derived from Airborne LiDAR Data in Boreal Forests of Ontario

Predictive Modeling of Black Spruce (Picea mariana (Mill.) B.S.P.) Wood Density Using Stand Structure Variables Derived from Airborne LiDAR Data in Boreal Forests of Ontario

Our objective was to model the average wood density in black spruce trees in representative stands across a boreal forest landscape based on relationships with predictor variables extracted from airborne light detection and ranging (LiDAR) point cloud data. Increment core samples were collected from...

Full description

Bibliographic Details
Main Authors: Bharat Pokharel, Art Groot, Douglas G. Pitt, Murray Woods, Jeffery P. Dech
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Forests
Subjects:
LiDAR
wood quality
wood density
random forests
wood quality mapping
black spruce
Online Access:http://www.mdpi.com/1999-4907/7/12/311

Internet

http://www.mdpi.com/1999-4907/7/12/311

Similar Items