You are here

Keyword: canonical correlation analysis (CCA)

Forest structure estimation and pattern exploration from discrete return lidar in subalpine forests of the Central Rockies

Publications Posted on: September 04, 2008
This study evaluates the relative ability of simple light detection and ranging (lidar) indices (i.e., mean and maximum heights) and statistically derived canonical correlation analysis (CCA) variables attained from discrete-return lidar to estimate forest structure and forest biomass variables for three temperate subalpine forest sites.