Andrew Hennessy

Dr Andrew Hennessy

Pdoc Res Fellow (A) (with PhD)

School of Agriculture, Food and Wine

Faculty of Sciences, Engineering and Technology

Andrew is the image and data analysist at The Plant Accelerator, Australian Plant Phenomics Facility. He is an early career researcher having just submitted his PhD thesis looking at the application of generative deep learning methods to data augmentation for classification of hyperspectral vegetation datasets. His knowledge and experience of hyperspectral vegetation data is put to use at The Plant Accelerator analyzing the data output of the FieldExplorer, a field phenotyping platform that combines high-definition RGB imagery with LiDAR and hyperspectral sensors to measure crop traits, such as growth and health.

  • Awards and Achievements
    Date Type Title Institution Name Country Amount
    2019 Award South Australian Spatial Excellence Award: Environment & Sustainability Surveying and Spatial Sciences Institute Australia

  • Education
    Date Institution name Country Title
    2016 - 2021 University of Adelaide Australia PhD
    2015 - 2015 University of Adelaide Australia Bachelor of Science (Honours)
    2011 - 2014 University of Adelaide Australia Bachelor of Evolutionary Biology

  • Certifications
    Date Title Institution name Country
    — Remote Pilots Licence University of Adelaide Australia

  • Journals
    Year Citation
    2022 Fernandes, M. B., Hennessy, A., Law, W. B., Daly, R., Gaylard, S., Lewis, M., & Clarke, K. (2022). Landsat historical records reveal large-scale dynamics and enduring recovery of seagrasses in an impacted seascape. Science of the Total Environment, 813, 9 pages.
    DOI
    2021 Clarke, K., Hennessy, A., McGrath, A., Daly, R., Gaylard, S., Turner, A., . . . Fernandes, M. B. (2021). Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast. Scientific Reports, 11(1), 4182.
    DOI Scopus1 WoS2
    2021 Hennessy, A., Clarke, K., & Lewis, M. (2021). Generative Adversarial Network Synthesis of Hyperspectral Vegetation Data. Remote Sensing, 13(12), 2243.
    DOI Scopus1
    2021 Clarke, K., Hennessy, A., McGrath, A., Daly, R., Gaylard, S., Turner, A., . . . Fernandes, M. B. (2021). Author Correction: Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast (Scientific Reports, (2021), 11, 1, (4182), 10.1038/s41598-021-83728-6). Scientific Reports, 11(1), 17173.
    DOI Europe PMC1
    2020 Hennessy, A., Clarke, K., & Lewis, M. M. (2020). Hyperspectral classification of plants: A review of waveband selection generalisability. Remote Sensing, 12(1), 113-1-113-27.
    DOI Scopus46 WoS41

  • Conference Items
    Year Citation
    Hennessy, A. (n.d.). Reflecting on hyperspectral reflectance: 20 years of classifying vegetation spectra. Poster session presented at the meeting of Unknown Conference.
    DOI

  • Report for External Bodies
    Year Citation
    2019 Clarke, K. D., Hennessy, A., & Lewis, M. (2019). Adelaide Metropolitan Coastline: Long term dynamics of seagrass cover.
    2018 Clarke, K. D., Hennessy, A., & Lewis, M. (2018). Adelaide Metropolitan Coastline benthic habitat mapping from hyperspectral imagery: Product B: Potential to differentiate seagrass genera and bare substrate.
    2018 Clarke, K. D., Hennessy, A., & Lewis, M. (2018). Adelaide Metropolitan Coastline benthic habitat mapping from hyperspectral imagery: Product A: Bare-substrate vs non-bare Substrate.
  • Position: Pdoc Res Fellow (A) (with PhD)
  • Phone: 83130824
  • Email: andrew.hennessy@adelaide.edu.au
  • Campus: Waite
  • Building: The Plant Accelerator, floor G
  • Org Unit: School of Agriculture, Food and Wine - WT
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