Canadian Forest Service Publications

Estimating aboveground biomass using lidar remote sensing. 2002. Lim, K.; Treitz, P.; Morrison, I.; Baldwin,K. Proceedings of SPIE International Symposium on Remote Sensing - Remote Sensing for Agriculture, Ecosystems, and Hydrology IV Conference September 23-27, 2002. Crete, Greece. Vol.4879 289-296.

Year: 2002

Issued by: Great Lakes Forestry Centre

Catalog ID: 33396

Language: English

Availability: PDF (request by e-mail)

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Abstract

Previous forest research using time-of-flight lidar suggests that there exists some quantile of the distribution of laser canopy heights that could provide an estimate of various forest biophysical properties. The results presented here not only support this theory, but also extend it by suggesting that a quantile of the distribution of all laser heights could provide estimates of aboveground biomass for forests with similar stand structure. Tolerant northern hardwood forests, composed predominantly of mature sugar maple (Acer saccharum Marsh.) and yellow birch (Betula alleghaniensis Britton), were surveyed using an ALTM 1225 (Optech Inc.) in August 2000. Field data for 49 circular plots, each 400 m2 in area, were collected in July 2000. Using site-specific allometric equations, total aboveground biomass and biomass components (i.e., stem wood, stem bark, live branches, and foliage) were derived for each plot. Three laser height metrics were derived from the lidar data: (i) maximum laser height; (ii) mean laser height; and (iii) mean laser height calculated from lidar returns filtered based on. a threshold applied to the intensity return data (Lh1R). Lh1R was identified as the best predictor—of total aboveground biomass (R2 = 0.85) and biomass components (R2between 0.84 to 0.85) when all plot types were considered.