Graham Hinchliffe

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Senior Research Officer

Email: graham.hinchliffe@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0002-9369-857X

Academic appointments:

  • Senior Research Officer, Auckland University of Technology (2015 - ongoing)

Qualifications:

  • MSc Geographical Information Science with Distinction, University of Edinburgh, Edinburgh
  • BSc (Hons) Geology with Physical Geography, University of Southampton, Southampton
  • Chartered Geographer (GIS), Royal Geographical Society, London

Overview:

Graham is a Chartered Geospatial Professional with 10 years of experience working in the UK private sector. He joined AUT in 2015 with a focus on further developing UAV and Geospatial application areas. He has particular interests in Geoprocessing, UAV Full Motion Video (FMV), Multispectral Point Cloud analysis, Open Source GIS tools, Disaster Risk Reduction & Response and the use of spatial data in VR visualisation.

Research interests:

UAV remote sensing, in particular developing Full Motion Video (FMV) geospatial processing and multi-platform multi-sensor survey for complex 3D habitats

Visualisation and analysis of multispectral point clouds

Exploring overlaps between GIS, Photogrammetry and Virtual Reality

Gamification of GIS data for community engagement and DRR

Teaching summary:

Geographical Information Systems (GIS)
Remote Sensing

Graham aims to keep AUT’s students both at the forefront of geospatial innovation and grounded with practical skills for the workplace.

Fields of research:

  • Virtual Reality and Related Simulation
  • Cartography
  • Geospatial Information Systems
  • Photogrammetry and Remote Sensing

Featured professional activities

    Research outputs:

    Journal articles

    • Le De, L., Loodin, N., Gampell, A., Hinchliffe, G., & Gaillard, J. C. (2018). Using Minecraft and LEGO for disaster risk reduction. Crisis Response, 14(1), 74-75.

    • Hinchliffe, G., Bollard-Breen, B., Cowan, D. A., Doshi, A., Gillman, L. N., Maggs-Kolling, G., . . . Pointing, S. B. (2017). Advanced photogrammetry to assess lichen colonization in the hyper-arid Namib Desert. Frontiers in Microbiology, 8. doi:10.3389/fmicb.2017.02083

    • Jeanjean, A. P. R., Hinchliffe, G., McMullan, W. A., Monks, P. S., & Leigh, R. J. (2015). A CFD study on the effectiveness of trees to disperse road traffic emissions at a city scale. Atmospheric Environment, 120. doi:10.1016/j.atmosenv.2015.08.003

    Conference contributions

    • Gampell, A., Le De, L., Loodin, N., Gaillard, J. C., & Hinchliffe, G. (2019). P-Tech in CitSci: Minecraft and LEGO as tools to foster student’s participation in learning about disaster and DRR. In SocCon2019 New Zealand Social Sciences Conference. Auckland. Retrieved from http://www.soccon.net.nz/2019/

    • Hinchliffe, G. (2019). A new workflow for spatially enabling low-cost UAV Full Motion Video. In New Zealand Geospatial Research Conference 2019. Queenstown: The Geospatial Research Institute, University of Canterbury. Retrieved from https://geospatial.ac.nz/nzgrc-2019-abstracts/

    • Gampell, A., Le De, L., Loodin, N., Gaillard, J. C., Boersen, K., & Hinchliffe, G. (2019). P-Tech in CitSci: Minecraft as a tool to foster children’s participation in learning about disaster and DRR. In Global platform for disaster risk reduction. Geneva: UN Office for Disaster Risk Reduction. Retrieved from https://www.unisdr.org/

    • Le De, L., Loodin, N., Gampell, A., Hinchliffe, G., Gaillard, J. C., Sutherland, J., & Boersen, K. (2019). Geo-referenced LEGO mapping as a tool to foster the participation of children in DRR. In Global platform for disaster risk reduction. Geneva: UN Office for Disaster Risk Reduction. Retrieved from https://www.unisdr.org/

    • Murphy, A., Vande Hey, J., Smith, L., Leigh, R., & Hinchliffe, G. (2014). Night Sky Mapping: Exploring Relationships between Crime and Street Lighting. In Artificial Light at Night (ALAN) 2014. Leicester. Retrieved from http://www.dmu.ac.uk/

    Reports

    • Hinchliffe, G., Bonamis, A., Bilkey, J., Chand, S., Doshi, A., & Bollard-Breen, B. (2018). White bryony (Bryonia cretica subsp. Dioica) identification from Unmanned Aerial Systems to aid targeted eradication - Phase 2 Report (2).

    • Hinchliffe, G., Bonamis, A., Doshi, A., & Bollard-Breen, B. (2017). White bryony (Bryonia cretica subsp. Dioica)
      identification from Unmanned Aerial Systems
      to aid targeted eradication - Phase 1 Report
      . Auckland, New Zealand: Auckland University of Technology.

    Oral presentations

    Other outputs

    • Trusdell, F. A., Chadderton, A., Hinchliffe, G., Hara, A., Patenge, B., & Weber, T. (2012). Tohoku-Oki Earthquake Tsunami Runup and Inundation Data for Sites Around the Island of Hawaiʻi. U.S. Geological Survey. Retrieved from https://pubs.usgs.gov/of/2012/1229/