Journal article
Extracting LiDAR indices to characterise multilayered forest structure using mixture distribution functions
D Jaskierniak, PNJ Lane, A Robinson, A Lucieer
Remote Sensing of Environment | ELSEVIER SCIENCE INC | Published : 2011
Abstract
Discrete Light Detection and Ranging (LiDAR) data is used to stratify a multilayered eucalyptus forest and characterise the structure of the vertical profile. We present a methodology that may prove useful for a very broad range of forest management applications, particularly for timber inventory evaluation and forest growth modelling. In this study, we use LiDAR data to stratify a multilayered eucalyptus forest and characterise the structure of specific vegetation layers for forest hydrology research, as vegetation dynamics influence a catchment's streamflow yield. A forest stand's crown height, density, depth, and closure, influence aerodynamic properties of the forest structure and the am..
View full abstractGrants
Awarded by Cooperative Research Centre for Forestry
Funding Acknowledgements
The authors would like to thank the following funding bodies that provided assistance: Melbourne Water under the Wildfire and Water Security project, the Cooperative Research Centre for Forestry project 4.1, and the Victorian Department of Sustainability and Environment. We would like to thank three anonymous reviewers for their valuable suggestions that have improved the final manuscript. We would also like to thank Jack Snodgress for his assistance with field work.