Canadian Forest Service Publications
Forecasting Forest Inventory Using Imputed Tree Lists for LiDAR Grid Cells and a Tree-List Growth Model. 2018. Lamb, S.M.; MacLean, D.A.; Hennigar, C.R.; Pitt, D.G. Forests 9(4):167.
Issued by: Great Lakes Forestry Centre
Catalog ID: 39230
Availability: PDF (download)
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Plain Language Summary
A method to forecast forest inventory variables derived from light detection and ranging (LiDAR) would increase the usefulness of such data in future forest management. We evaluated the accuracy of forecasted inventory from imputed tree lists for LiDAR grid cells (20 × 20 m) in spruce plantations and tree growth predicted using a locally calibrated tree-list growth model. To demonstrate the novel application of this method for operational management decisions, annual commercial thinning was planned at grid-cell resolution from 2018–2020 using forecasted inventory variables and commercial thinning eligibility rules.