Airborne Light Detection and Ranging LiDAR for Individual Tree Stem Location, Height, and Biomass MeasurementsReportar como inadecuado


Airborne Light Detection and Ranging LiDAR for Individual Tree Stem Location, Height, and Biomass Measurements


Airborne Light Detection and Ranging LiDAR for Individual Tree Stem Location, Height, and Biomass Measurements - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Department of Forest Engineering, Resources, and Management, Oregon State University, Peavy Hall 204, Corvallis, OR 97331, USA





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Abstract Light Detection and Ranging LiDAR remote sensing has demonstrated potential in measuring forest biomass. We assessed the ability of LiDAR to accurately estimate forest total above ground biomass TAGB on an individual stem basis in a conifer forest in the US Pacific Northwest region using three different computer software programs and compared results to field measurements. Software programs included FUSION, TreeVaW, and watershed segmentation. To assess the accuracy of LiDAR TAGB estimation, stem counts and heights were analyzed. Differences between actual tree locations and LiDAR-derived tree locations using FUSION, TreeVaW, and watershed segmentation were 2.05 m SD 1.67, 2.19 m SD 1.83, and 2.31 m SD 1.94, respectively, in forested plots. Tree height differences from field measured heights for FUSION, TreeVaW, and watershed segmentation were −0.09 m SD 2.43, 0.28 m SD 1.86, and 0.22 m 2.45 in forested plots; and 0.56 m SD 1.07 m, 0.28 m SD 1.69 m, and 1.17 m SD 0.68 m, respectively, in a plot containing young conifers. The TAGB comparisons included feature totals per plot, mean biomass per feature by plot, and total biomass by plot for each extraction method. Overall, LiDAR TAGB estimations resulted in FUSION and TreeVaW underestimating by 25 and 31% respectively, and watershed segmentation overestimating by approximately 10%. LiDAR TAGB underestimation occurred in 66% and overestimation occurred in 34% of the plot comparisons. View Full-Text

Keywords: LiDAR; biomass; forestry; inventory LiDAR; biomass; forestry; inventory





Autor: Curtis Edson and Michael G. Wing *

Fuente: http://mdpi.com/



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