Using LiDAR slope estimates to predict the productivity of a self-levelling feller-buncher. Australian Forest Operations Research Alliance (AFORA) Industry Bulletin, Volume 10

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Open access

Muhammad M Alam, Martin Strandgard and Mark W Brown

Australian Forest Operations Research Alliance (AFORA)

2014

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https://www.usc.edu.au/research/research-partnerships/australian-forest-operations-research-alliance-aforaView

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Forestry Sciences

forest harvesting equipment

steep slopes

self-levelling feller-bunchers

LiDAR (light detection and ranging)

Australian Forest Operations Research Alliance (AFORA)

AFORA Bulletin

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Title: Using LiDAR slope estimates to predict the productivity of a self-levelling feller-buncher. Australian Forest Operations Research Alliance (AFORA) Industry Bulletin, Volume 10
Authors: Muhammad M Alam (Author) - University of Melbourne
Martin Strandgard (Author) - University of the Sunshine Coast
Mark W Brown (Author) - University of the Sunshine Coast
Publication details: 2 pages
Publisher: Australian Forest Operations Research Alliance (AFORA)
Date published: 2014
Organisation Unit: Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; National Centre for Timber Durability and Design Life; Forest Industries Research Centre; Forest Research Institute
Language: English
Record Identifier: 99449028002621
Output Type: Working paper

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