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• W1542272259 abstract "Received: 12 July 2012 Abstract Accepted: 30 August 2012 This paper presents processing and analysis techniques to apply LiDAR data to estimate tree diameter at breast height (DBH) – a critical variable applied in a large number of forest management tasks. Our analysis focuses on the estimation of DBH using only LiDAR-derived tree height and tree crown dimensions, i.e., variables accessible from aerial observations. The modeling process was performed using 161 white and red pine trees from four 3850 m plots in the Foret de l’Aigle located in southwestern Quebec. Segments of the LiDAR data extracted for DBH estimation were obtained using the Individual Tree Crown (ITC) delineation method. Regression models were investigated using height as well as crown dimensions, which increased the precision of the model. This study demonstrates that DBH can be modeled to acceptable accuracy using altimetry data and automated data processing procedures and then be used in high-precision timber volume assessment." @default.
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• W1542272259 date "2012-10-01" @default.
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• W1542272259 title "Automated airborne lidar-based assessment of timber measurements for forest management" @default.
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• W1542272259 doi "https://doi.org/10.2478/v10270-012-0027-8" @default.
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