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Filtering by: Academic Affiliation College of Forestry Date issued sim 2010-07

Relating Forest Attributes with Area- and Tree-Based Light Detection and Ranging Metrics for Western Oregon

Creator:

Goerndt, Michael E., Monleon, Vicente J., and Temesgen, Hailemariam

Abstract:

Three sets of linear models were developed to predict several forest attributes, using stand-level and single-tree remote sensing (STRS) light detection and ranging (LiDAR) metrics as predictor variables. The first used only area-level metrics (ALM) associated with first-return height distribution, percentage of cover, and canopy transparency. The second alternative included...

Resource Type:

Article