Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data

Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data

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...

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Bibliographic Details
Main Authors: CARLOS A. SILVA, CARINE KLAUBERG, ANDREW T. HUDAK, LEE A. VIERLING, SCOTT J. FENNEMA, ANA PAULA D. CORTE
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2017-08-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Forest Inventory
LiDAR metrics
Multiple Linear Regression
Remote Sensing
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017005019106&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017005019106&lng=en&tlng=en

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