Predicting wood fiber attributes using local-scale metrics from terrestrial LiDAR data: A case study of Newfoundland conifer species

Forest Ecology and Management

Volumn 347, Issue , 2015, Pages 116-129

  Blanchette, Danny ^a   Fournier, Richard A ^a   Luther, Joan E ^b   Côté, Jean François ^b  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

AIC; Forestry; Modeling; Multimodel inference; Terrestrial LiDAR; Wood fiber attributes

Indexed keywords

FIBERS; FORESTRY; MODELS; OPTICAL RADAR; SURVEYING INSTRUMENTS; WOOD PRODUCTS;

AIC; BALSAM FIR (ABIES BALSAMEA); BLACK SPRUCE (PICEA MARIANA); EXPLANATORY VARIABLES; MULTI-MODEL INFERENCE; TERRESTRIAL LASER SCANNERS; TERRESTRIAL LIDARS; WOOD FIBER;

WOOD;

CANOPY ARCHITECTURE; CONIFEROUS TREE; DECIDUOUS TREE; FOREST CANOPY; FOREST RESOURCE; LASER METHOD; LIDAR; OPTIMIZATION; PREDICTION; WOOD; WOOD QUALITY;

FORESTRY; PICEA MARIANA; TREES; WOOD FIBERS;

CANADA; NEWFOUNDLAND; NEWFOUNDLAND AND LABRADOR;

ABIES BALSAMEA; CONIFEROPHYTA; PICEA MARIANA;

EID: 84925691450     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2015.03.013     Document Type: Article

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