Canadian Forest Service Publications

Modelling vegetation understory cover using LiDAR metrics. 2019. Venier, L.A.; Swystun, T.; Mazerolle, M.J.; Kreutzweiser, D.P.; Wainio-Keizer, K.L.; McIlwrick, K.A.; Woods, M.E.; Wang, X. PLOS ONE 14(11): e0220096.

Year: 2019

Issued by: Great Lakes Forestry Centre

Catalog ID: 39979

Language: English

Availability: PDF (download)

Available from the Journal's Web site.
DOI: 10.1371/journal.pone.0220096

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Plain Language Summary

Forest understory vegetation is an important feature of wildlife habitat among other things. Predicting and mapping understory is a critical need for forest management and conservation planning, but it has proved difficult. LiDAR has the potential to generate remotely sensed forest understory structure data, yet this potential has to be fully validated. Our objective was to examine the capacity of LiDAR point cloud data to predict forest understory cover.