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- W2071363417 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 (<i>Acer saccharum </i>Marsh.) and yellow birch (<i>Betula alleghaniensis </i>Britton), were surveyed using an ALTM 1225 (Optech Inc.) in August 2000. Field data for 49 circular plots, each 400 m<sup>2</sup> 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 <i>Lh<sub>IR</sub></i>). <i>Lh<sub>IR</sub></i> was identified as the best predictor of total aboveground biomass (<i>R</i><sup>2</sup> = 0.85) and biomass components (<i>R</i><sup>2</sup> between 0.84 to 0.85) when all plot types were considered." @default.
- W2071363417 created "2016-06-24" @default.
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- W2071363417 date "2003-03-14" @default.
- W2071363417 modified "2023-09-23" @default.
- W2071363417 title "Estimating above-ground biomasss using lidar remote sensing" @default.
- W2071363417 doi "https://doi.org/10.1117/12.462409" @default.
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