A Generalized Lidar-Based Model for Predicting the Merchantable Volume of Balsam Fir of Sites Located along a Bioclimatic Gradient in Quebec, Canada
Lidar-based models rely on an optimal relationship between the field and the lidar data for accurate predictions of forest attributes. This relationship may be altered by the variability in the stand growth conditions or by the temporal discrepancy between the field inventory and the lidar survey. I...
Main Authors: | Sarah Yoga, Jean Bégin, Gaétan Daigle, Martin Riopel, Benoît St-Onge |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
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Series: | Forests |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4907/9/4/166 |
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