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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Автори:	CARLOS ALBERTO SILVA, CARINE KLAUBERG, ANDREW T. HUDAK, LEE A. VIERLING, VERALDO LIESENBERG, LUIZ G. BERNETT, CLEWERSON F. SCHERAIBER, EMERSON R. SCHOENINGER
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Academia Brasileira de Ciências
Серія:	Anais da Academia Brasileira de Ciências
Предмети:	forest inventory LiDAR metrics k-NN Imputation Remote Sensing
Онлайн доступ:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100295&lng=en&tlng=en
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