Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

ABSTRACT Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies. The aim of this study was to estimate stand dominate and mean heights (HD and HM) and tree density (TD) of Pinus taeda plantations located in South Brazil us...

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Bibliographic Details
Main Authors: CARLOS ALBERTO SILVA, CARINE KLAUBERG, ANDREW T. HUDAK, LEE A. VIERLING, VERALDO LIESENBERG, LUIZ G. BERNETT, CLEWERSON F. SCHERAIBER, EMERSON R. SCHOENINGER
Format: Article
Language:English
Published: Academia Brasileira de Ciências
Series:Anais da Academia Brasileira de Ciências
Subjects:
forest inventory
LiDAR metrics
k-NN Imputation
Remote Sensing
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100295&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100295&lng=en&tlng=en

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