Determination of dispersed and piled post-harvest residues in coastal Douglas-fir cutblocks using unmanned aerial vehicle imagery and ground-based surveys: Fo148-1/15E-PDF
“After forest harvesting, significant amounts of woody residues are left dispersed on cutblocks, with some subsequently piled and burned. Quantification of these residues is required to estimate carbon budgets, billable waste, harvest efficiency, bioenergy potential, and smoke emissions. Currently, various sample-based field methods are used to assess post-harvest residues. Geospatial methods based on LiDAR and high-resolution imagery allow for a complete measurement of a site, enhancing forest stand inventories. These methods could also improve assessment of post-harvest residues. In this study, ground-based and geospatial methods are compared to estimate amounts of woody residues for two cutblocks in the Northwest Bay area on Vancouver Island, British Columbia. Before and after burn pile construction, high-resolution colour photography was acquired using an unmanned aerial vehicle in 2014–2015. Dispersed waste and residue survey plots, and pile or accumulation plots were georeferenced and measured. Images were analyzed with an improved semi-automated log delineation method that better accounted for log overlaps. Image point clouds, digital surface models, and digital elevation models were created to determine bulk pile volumes, packing ratios were calculated for sample piles, and piled wood volumes derived from image point clouds were compared to values derived from field surveys”--Abstract, p. vi.
|Department/Agency||Natural Resources Canada.|
|Title||Determination of dispersed and piled post-harvest residues in coastal Douglas-fir cutblocks using unmanned aerial vehicle imagery and ground-based surveys|
|Series Title||Information report ;|
|Publication Type||Series - View Master Record|
|Electronic Document|| |
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|Number of Pages||viii, 27 p. :|
|Departmental Catalogue Number||38836|
|Subject Terms||Deforestation, Waste, Aerial photography, Geographic data|
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