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Mr Muhammad Alam

Mr Muhammad AlamMr Muhammad Alam

PhD student

Topic: Selecting suitable harvesting systems using LiDAR technology

The University of Melbourne


Mechanised harvesting systems are popular in harvesting operations in Australia due to their contribution to increased productivity and efficiency, improved worker safety and reduced cost of operations. The productivity and efficiency of a mechanised harvesting system has been found to be affected by a number of factors such as forest stand characteristics, terrain variables, operators’ skill and machinery limitations. The aim of my study is to identify, quantify and evaluate forest stand characteristics and terrain variables using remote-sensing technology and to develop an empirical model that will be used to select and optimise harvesting equipment and systems for any given site.

The first task is to identify the forest terrain variables and stand characteristics that most significantly impact on selection of harvesting equipment and systems across a range of forest and plantation sites. Then the effectiveness of a range of remote-sensing technologies at identifying and quantifying these terrain variables and stand characteristics will be investigated. Empirical relationships will then be developed and tested in areas other than those areas used in their development.

I have completed a Bachelor of Science in Forestry (University of Chittagong, Bangladesh) and a Master of Applied Science in GIS (Geographic Information Systems) and am currently completing my PhD at The University of Melbourne. I have worked for the NSW and Victorian governments (Forest New South Wales, and Grampians Water) and for a private company as a GIS operator.

My supervisors are Mark Brown, Julian Fox and Martin Strandgard (Department of Forest and Ecosystem Science, University of Melbourne).

My research is funded by the CRC for Forestry and will contribute to Program Three ‘Harvesting and operations’.