Improving the productivity of mechanised harvesting systems using remote sensing

Muhammad M Alam; Martin Strandgard; Mark W Brown; Julian C Fox

doi:10.1080/00049158.2012.10676408

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Improving the productivity of mechanised harvesting systems using remote sensing

Journal article

Peer reviewed

Improving the productivity of mechanised harvesting systems using remote sensing

Muhammad M Alam, Martin Strandgard, Mark W Brown and Julian C Fox

Australian Forestry, Vol.75(4), pp.238-245

2012

DOI: https://doi.org/10.1080/00049158.2012.10676408

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Abstract

harvesting

remote sensing

harvesters

productivity

efficiency

assessment

reviews

radiata pine

Mechanised harvesting operations are popular in Australia because of their productivity and efficiency, improved worker safety and reduced cost of operations. Most research has found that the productivity and efficiency of a mechanised harvesting system is affected by a number of factors such as forest stand characteristics, terrain variables, operator skill and machinery limitations. However, current studies did not quantify these factors sufficiently to evaluate the productivity and efficiency effects that can guide allocation of different harvesting equipment. This article reviews the literature on how major forest stand characteristics such as tree size and undergrowth affect the productivity and efficiency of a harvesting machine and/or system in clearfelling operations, and explores the application of remote sensing technology including multi-spectral imagery and LiDAR (light detection and ranging) to identify and quantify these characteristics to allow for better harvest planning and harvest system allocation. It is concluded that by evaluating the interactions between each of these factors and different types of harvesting equipment, an empirical model could be developed to optimise the use of current harvesting systems and assist the selection of more cost-effective harvesting machinery, using remote sensing.

Details

Title: Improving the productivity of mechanised harvesting systems using remote sensing
Authors: Muhammad M Alam (Author) - University of Melbourne
Martin Strandgard (Author) - University of Melbourne
Mark W Brown (Author) - University of Melbourne
Julian C Fox (Author) - University of Melbourne
Publication details: Australian Forestry, Vol.75(4), pp.238-245
Publisher: Institute of Foresters of Australia
Date published: 2012
DOI: 10.1080/00049158.2012.10676408
ISSN: 0004-9158
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: 99450479402621
Output Type: Journal article

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