Skip to main content

Campaign and site effects in LiDAR prediction models for site-quality assessment of radiata pine plantations in South Australia

Buy Article:

$55.00 plus tax (Refund Policy)

Site-quality (site-productivity) information underpins many aspects of radiata pine plantation management in South Australia. Site-quality assessment is, in essence, a problem of assessing the spatial variation in stand volume at reference age. Trials examining the use of airborne Light Detection And Ranging (LiDAR) for site-quality assessment were commenced in 2002. LiDAR data was captured using three different LiDAR systems in 2002, 2006 and 2007, generating datasets captured at significantly different flying altitudes and point densities. A total of 169 field plots were measured across nine study sites. The study evaluated how operational LiDAR data-collection parameters (Campaign) and site characteristics (Site) affected LiDAR variables and prediction models for predominant height and stand volume. Significant Campaign effects were detected, which appeared to be due to differences in laser point density and flying height, instrumentation or seasonal effects such as drought. The effects were far more pronounced in models for stand volume than predominant height. Evidence of Site effects was inconclusive, but incorporation of Site variables in prediction models improved model fit under some circumstances. LiDAR-based site-quality assessment proved robust, even at the lowest point densities of LiDAR used in the study. Calibration protocols and modelling strategies that recognize Campaign effects need to be developed for operational deployment.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Forest and Ecosystem Science, University of Melbourne, Parkville, Victoria, Australia,Forestry SA, Mount Gambier, SA, Australia 2: Department of Forest and Ecosystem Science, University of Melbourne, Parkville, Victoria, Australia 3: Forestry Systems, Mount Gambier, SA, Australia

Publication date: 2010-02-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more