Satellite Lidar Estimation of Stemwood Volume; a Method Using Waveform Decomposition
نویسندگان
چکیده
Canopy metrics from ICESat/GLAS lidar waveforms were applied to estimate stemwood volume for a mixed temperate forest. Gaussian decomposition from product GLA14 was used to infer a ground surface return from within the waveform. The region of the waveform returned from the vegetation was subsequently taken to be between this position and the beginning of the waveform signal. The heights of vegetation return cumulative energy percentiles were then calculated and used for the estimation of stemwood volume. For the tallest species within footprints, stemwood volume estimates for conifers produced R of 0.59, RMSE 98.3 m/ha and for broadleaf species, R of 0.75, RMSE 59.1 m/ha were found. Stemwood volume estimates taking account of the mixed species composition within stands were also calculated. For mixed stand estimates, R of 0.66, RMSE 82.5 m/ha was found for stands dominated by conifers whilst stands with greatest percentage cover provided by broadleaf species produced R of 0.47, RMSE 75.6 m/ha.
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