2017
DOI: 10.1590/0001-3765201720160324 View full text |Buy / Rent full text
|
|

Abstract: Basal area (BA) is a good predictor of timber stand volume and forest growth. This study developed predictive models using field and airborne LiDAR (Light Detection and Ranging) data for estimation of basal area in Pinus taeda plantation in south Brazil. In the field, BA was collected from conventional forest inventory plots. Multiple linear regression models for predicting BA from LiDAR-derived metrics were developed and evaluated for predictive power and parsimony. The best model to predict BA from a family … Show more

Help me understand this report

Search citation statements

Order By: Relevance
Select...
1
4
0

Publication Types

Select...

Relationship

0
0

Authors

Journals