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Company : Ontario Ministry of Natural Resources
File Name : Lim.pdf
Size : 148628
Type : application/pdf
Date : 17-Jul-2010
Downloads : 10

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Featured Paper by

Kevin Lim, Paul Treitz, Murray Woods, Dave Nesbitt and David Etheridge

Literature from the past two decades documents how airborne LIDAR can be used to predict forest inventory variables, such as basal area, volume, and biomass, at the plot and stand level. However, a key question that has yet to be fully addressed, and that the forest industry continues to ask as it considers operationalizing the use of LIDAR in forest resource inventories, is: What is the optimal point density for predicting forest inventory variables?
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