Canadian Forest Service Publications

Aboveground large tree mass estimation in a coastal forest in British Columbia using plot-level metrics and individual tree detection from lidar. 2009. Ferster, C.J.; Coops, N.C.; Trofymow, J.A. Canadian Journal of Remote Sensing 35(3): 270-275.

Year: 2009

Issued by: Pacific Forestry Centre

Catalog ID: 31514

Language: English

Availability: PDF (download)

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Abstract

Plot-level large tree and snag aboveground mass (TSAM) in a second-growth coastal Douglas-fir forest stand in British Columbia was estimated using light detection and ranging (lidar) combining metrics from individually identified trees and snags and plot-level lidar canopy return density. Individual trees were identified using the tree variable window (TreeVaW) algorithm, which identifies tree crowns using a circular moving filter and the relationship between tree height and crown diameter. A multiple linear regression model was then developed to predict plot-level TSAM as determined from ground plots. The predicted heights of individually identified trees were very accurate (r2 = 0.92, SEE = 0.69 m). Plot TSAM was predicted with an r2 = 0.75 and SEE = 29.68 Mg/ha using lidar density and height metrics alone, and a slightly lower r2 = 0.71 and SEE = 31.95 Mg/ha using lidar density metrics with individually identified tree heights. Using individual tree metrics did not improve plot-level TSAM estimation, since a large component of TSAM is contained in complex canopy levels where individual trees are difficult to identify.