Dr Andy Clark
Senior Researcher Fellow - Applied Agricultural Remote Sensing Centre
Biography
Dr Andy Clark joined the Applied Agricultural Remote Sensing Centre as a Senior Research Fellow in 2021 and has been involved in earth observation research since 2004.
During this time, Andy has worked on a range of land use and land cover mapping applications within state government and the commercial sector including the monitoring of woodlands, riparian vegetation and the mapping of land use in Queensland. He has a particular research interest in applying deep learning techniques to earth observation data for automated classifications of landscape attributes, which has led him to undertake a PhD which was completed in 2023.
Andy assists the AARSC team across numerous mapping projects including the national mapping of horticulture tree crops; protected cropping systems; and soybean crops.
Qualifications
Doctor of Philosophy: The University of Queensland. 2023. Title of dissertation: “Mapping land-use and land-cover using deep-learning and Earth-observation data”. (Supervised by Prof. Stuart Phinn and Dr Peter Scarth)
Graduate Certificate in Environmental Management (Conservation Biology): The University of Queensland. 2013.
Bachelor of Science (Geographical Sciences): The University of Queensland. 2006.
Primary Research Area/s
Remote Sensing; Geographic Information Systems (GIS)Research Interests
Deep Learning for the automation of land use and land cover mapping.
Publications
Clark, A. 2023. Mapping land-use and land-cover using deep-learning and Earth-observation data [PhD Thesis, The University of Queensland]. https://doi.org/10.14264/462510a
Clark, A., Phinn, S., and Scarth, P. 2023. Optimised U-Net for Land Use–Land Cover Classification Using Aerial Photography. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-023-00233-3
Clark, A., Phinn, S., and Scarth, P. 2023. Pre-Processing Training Data Improves Accuracy and Generalisability of Convolutional Neural Network Based Landscape Semantic Segmentation. Land, 12(7), 1268. https://doi.org/10.3390/land12071268
Clark, A., McKechnie, J. 2020. Detecting Banana Plantations in the Wet Tropics, Australia, Using Aerial Photography and U-Net. Applied Sciences, 10(6), 2017. https://doi.org/10.3390/app10062017
Queensland Land Use Mapping Program. 2018. Land use summary for the Burdekin NRM Region. Department of Science, Information Technology and Innovation. Brisbane. https://goo.gl/N1bB5U
Shephard C., McKechnie J., and Clark A., 2017, Mapping horticultural trees crops in Australia. Paper Presentation. ESRI International User Conference, San Diego. [Accepted in proceedings, July 2017]
Clark, A., Healy, A., and Tindall, D. 2015. Riparian forest and ground cover levels in South East Queensland catchments. Department of Science, Information Technology and Innovation. Brisbane.
Clark, A., Healy, A., and Tindall, D. 2015. Riparian vegetation levels in the Queensland Murray-Darling Basin and Bulloo catchment for 2013. Department of Science, Information Technology and Innovation. Brisbane.
Clark A. and Healy A., 2013. Monitoring Riparian Forest and Ground Cover Levels in the Queensland Murray Darling Basin and Bulloo Catchment. Department of Science, Information Technology, Innovation and the Arts. Ecosciences Precinct. Dutton Park.
Carroll C., Waters D, Vardy S., Silburn D.M., Attard S., Thorburn P.J., Davis A.M., Halpin N., Schmidt M., Wilson B., Clark A. 2012. Paddock to reef monitoring and modelling framework for the Great Barrier Reef: Paddock and catchment component. Marine Pollution Bulletin 65:136-149
Clark A., Gill T., Muir J., Johansen K., Denham R., 2012. Broadscale Monitoring of Riparian Vegetation in the Great Barrier Reef Catchments Using GIS Techniques and Landsat Satellite Imagery. Proceedings of the 16th Australasian Remote Sensing and Photogrammetry Conference, Melbourne, Australia, 25 August - 1 September 2012.
Clark A. 2011. Reef Water Quality Protection Plan: First Report Card (Riparian Sections). The State of Queensland (Department of the Premier and Cabinet). Published by the Reef Water Quality Secretariat, August 2011, 100 George Street, Brisbane Qld 4000.
Kitchen, J., Armston, J., Clark, A., Danaher, T., and Scarth, P., 2010, ‘Operational use of annual Landsat-5 TM and Landsat-7 ETM+ image time-series for mapping wooded extent and foliage projective cover in north-eastern Australia’, in Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference, Alice Springs, Australia, 13 -17 September 2010.
Gill T., Clark A., Scarth P., Danaher T., Gillingham S., Armston J., and Phinn S. 2010. Alternatives to Landsat-5 Thematic Mapper for operational monitoring of vegetation cover: considerations for natural resource management agencies. Canadian Journal of Remote Sensing. 36: 682-698.
Clark A., Harris D., Gill T.K., Denham R., Witte C., Scarth P., Armston J.D., and Schmidt M. 2009. Landcover Indicators of Effectiveness using medium-resolution satellite imagery. Department of Environment and Resource Management, Brisbane.
Johansen K., Clark, A., Phinn S., Witte C. 2008. Mapping plant projective cover in riparian zones: integration of field and high spatial resolution QuickBird, Spot-5 and LiDAR Data. In Proceedings of the 14th Australasian Remote Sensing and Photogrammetry Conference Darwin, Australia, October 2008.
McGowan H.A. and Clark A. 2008. A Vertical profile of PM10 dust concentrations measured during a regional dust event identified by MODIS Terra, western Queensland, Australia. Journal of Geophysical Research. 113 doi:10.1029/2007JF000765
McGowan H. and Clark A. 2008. Identification of dust transport pathways from Lake Eyre, Australia using Hysplit. Atmospheric Environment. 42: 6915-6925
