Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest

Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest

Managers of forested water supply catchments require efficient and accurate methods to quantify changes in forest water use due to changes in forest structure and density after disturbance. Using Light Detection and Ranging (LiDAR) data with as few as 0.9 pulses m−2, we applied a local maximum filt...

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Bibliographic Details
Main Authors: Dominik Jaskierniak, George Kuczera, Richard Benyon, Luke Wallace
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Remote Sensing
Subjects:
LiDAR
normalised cut
local maximum filtering
tree detection
forest hydrology
stand sapwood area
basal area
stocking density
forest inventory
Online Access:http://www.mdpi.com/2072-4292/7/6/7298

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http://www.mdpi.com/2072-4292/7/6/7298

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