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Dr Zhenyu Zhang

Dr Zhenyu Zhang
Name Zhenyu Zhang
Position Lecturer (Surveying and Spatial Science)
Section School of Civil Engineering and Surveying
Office Z317B
Location Toowoomba Campus
Phone +61 7 4631 1980
Extension 1980
Email
Qualifications DipGIS Massey , BSc CSU , MEng Tsinghua , MTech RMIT , PhD Monash

Fields of Research (FoR)

  • Geomatic Engineering not elsewhere classified ( 090999 )
  • Information Systems not elsewhere classified ( 080699 )
  • Physical Geography and Environmental Geoscience not elsewhere classified ( 040699 )

Research interests
GIS and remote sensing in natural resource and environment applications

Terrestrial and airborne laser scanning (LiDAR) for forestry and environment applications

Laser scanning for 3D modelling and visualisation

3D GIS and applications

Data Mining including Support Vector Machines (SVMs), Decision Trees (i.e., CART, CHAID), Random Forests, and other machine learning based statistical methods for object-based image analysis and classification

GPS/GNSS applications

Professional memberships
Member of Surveying and Spatial Science Institute (SSSI), Australia

Member of Modelling and Simulation Society of Australia and New Zealand

Member of the International Global Navigation Satellite Systems (IGNSS)

Currently teaching courses/programs
SVY1104 Survey Computations A
SVY2106 Geodetic Surveying A
GIS3407 GIS Programming and Visualisation
SVY2903 Surveying and Spatial Science Practice 3
SVY3904 Surveying and Spatial Science Practice 4
ENG4111 Research Project Part 1
ENG4112 Research Project Part 2
ENG8002 Masters Dissertation
PhD Supervision

Courses Taught in the Previous Years:
SVY1101 Geology and Surveying
SVY1110 Introduction to GPS
SVY2301 Automated Surveying Systems
SVY2303 Construction Surveying
SVY3107 Geodetic Surveying B
GIS3404 Geographical Data Visualisation
SVY1901 Surveying Practice 1
SVY2902 Surveying Practice 2
SVY2905 Geology and Surveying Practice

Teaching experience(Tertiary)
20 Years

Teaching experience(Other)
7 Years

Research most recent
Zhang, Z. and Liu, X. (2013), Support vector machines for tree species identification using LiDAR-derived structure and intensity variables, Geocarto International, 28(4):364-378.

Zhang, Z. and Liu, X. (2013), Chapter 7: WorldView-2 satellite imagery and airborne LiDAR data for object-based forest species classification in a cool temperate rainforest environment, In Abdul Rahman, A. (Eds), Developments in Multidimensional Spatial Data Models, Springer Lecture Notes in Geoinformation and Cartography, Berlin and Heidelberg: Springer-Verlag, ISBN: 978-3642-36378-8, 103-122.

Zhang, Z., Liu, X., Peterson, J. and Wright, W. (2012), Terrain and canopy surface modelling from LiDAR data for tree species classification. In Ruzicka, J. and Ruzickova, K. (Eds.), GIS Ostrava2012: Surface models for geosciences, Ostrava, Czech Republic, ISBN: 978-80-248-2667-7, 299-311.


Research most notable
Zhang, Z., Liu, X. and Wright, W. (2012), Object-based image analysis for forest species classification using worldview-2 satellite imagery and airborne LiDAR data, In Proceedings of ISRS 2012 ICSANE (International symposium on remote sensing 2012, International conference on space, aeronautical and navigational electrons 2012), 10-12 October 2012, Incheon, Republic of Korea.

Zhang, Z. Liu, X., Peterson, J. and Wright, W. (2011), Cool temperate rainforest and adjacent forests classification using airborne LiDAR data, Area, 43(4):438-448.

Liu, X. and Zhang, Z. (2011), Effects of LiDAR data reduction and breaklines on the accuracy of digital elevation model, Survey Review, 43(233): 614-628

Liu, X. and Zhang, Z. (2011), Drainage network extraction using LiDAR-derived DEM in volcanic plains, Area, 43(1): 42-52

Zhang, Z., Liu, X., Peterson, J. and Wright, W. (2011), Statistic analysis of airborne LiDAR data for forest classification in the Strzelecki Ranges, Victoria, Australia, In MODSIM2011, 12-16 December 2011, Perth, Australia, 1937-1943.

Liu, X., Zhang, Z. and McDougall, K. (2011), Characteristic analysis of a flash flood-affected creek catchment using LiDAR-derived DEM, In MODSIM2011, 12-16 December 2011, Perth, Australia, 2409-2415.

Liu, X. and Zhang, Z. (2010) Extracting drainage network from high resolution DEM in Toowoomba, Queensland, In Proceedings of Queensland Surveying and Spatial Conference 2010 (QSSC2010), 1-3 September 2010, Brisbane, Australia.

Liu, X., Zhang, Z., and Peterson, J. (2009), Evaluation of performance of DEM interpolation algorithms for LiDAR data, In Proceeding of Surveying & Spatial Sciences Institute Biennial International Conference, 28 September – 2 October 2009, Adelaide Convention Centre, Adelaide, Australia.

Zhang, Z., Peterson, J., Zhu, X. and Wright, W., (2008), Revealing long term land use and land cover change in a severely disturbed environment, The 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Science, 25-27 June 2008, Shanghai, China.

Liu, X., Zhang, Z., Peterson, J. and Chandra, S., (2008), Large area DEM generation using airborne LiDAR data and quality control, The 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Science, 25-27 June 2008, Shanghai, China.

Zhang, Z., Peterson, J., Zhu, X. and Wright, W., (2008), Long term land use and land cover change and its impact on cool temperate rainforest in the Strzelecki ranges, Australia, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science

Liu, X., and Zhang, Z., (2008) LiDAR data reduction for efficient and high quality DEM generation, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37(B3b):173 - 178.

Liu, X., and Zhang, Z., (2008) Ground truth extraction from LiDAR data for image orthorectification, International Workshop on Earth Observation and Remote Sensing Applications, 30 June-2 July 2008, Beijing, China. ISBN: 978-1-4244-2394-1

Zhang, Z., Peterson, J., Zhu, X. and Wright, W., (2007), Modelling Land Use and Land Cover Change in the Strzelecki Ranges, In Proceedings of MODSIM07, 10-13 December 2007, Christchurch, New Zealand, 1328-1344.

Liu, X., Zhang, Z., Peterson, J. and Chandra, S. (2007), LiDAR-derived high quality ground control information and DEM for image orthorectification, GeoInforma, 11(1): 37-53.

Liu, X., Zhang, Z., Peterson, J., and Chandra, S. (2007), The effect of LiDAR data density on DEM Accuracy, In Proceedings MODSIM07, 10-13 December 2007, Christchurch, New Zealand, 1363-1369.

Liu, X., Peterson, J., and Zhang, Z. (2005), High-resolution DEM generated from LiDAR data for water resource management, In Proceedings of MODSIM05, 12 - 15 December 2005, Melbourne, Australia, 1402-1408.


Publications in ePrints

Liu, Xiaoye and Zhang, Zhenyu and Basson, Mariata (2019) Teaching terrestrial laser scanning for spatial data collection and applications: experiential learning as a tool to enhance the development of higher level graduate capabilities. In: 30th Annual Conference for the Australasian Association for Engineering Education (AAEE 2019), 8-11 Dec 2019, Brisbane, Australia.

Zhang, Zhenyu and Liu, Xiaoye (2019) Terrestrial laser scanning for building information modelling: teaching and practice. In: 2019 International Symposium on Remote Sensing, 17-19 April, 2019, Taipei, Taiwan.

Zhang, Zhenyu and Liu, Xiaoye and McDougall, KevinORCID: https://orcid.org/0000-0001-6088-1004 and Wright, Wendy (2017) Fuzzy analysis of airborne LiDAR data for rainforest boundary determination. In: 6th International Conference on Telecommunications and Remote Sensing (ICTRS'17), 06-07 Nov 2017, Delft, Netherlands.

Zhang, Zhenyu and Liu, Xiaoye and Wright, Wendy (2014) Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery. In: 3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2014): Global Change and Sustainable Development: A Remote Sensing Perspective, 11-14 Jun 2014, Changsha, China.

Zhang, Zhenyu and Liu, Xiaoye and Wright, Wendy (2013) Statistical analysis of LiDAR-derived structure and intensity variables for tree species identification. In: 2013 GIS and Remote Sensing Research Conference (SIRC NZ 2013) , 29-30 Aug 2013, Otago, Dunedin, New Zealand.

View full listing in ePrints