Journal Articles

  • Flood, N., Watson, F., and Collett, L. (2019) Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia. International Journal of Applied Earth Observation and Geoinformation 82:101897. doi: 10.1016/j.jag.2019.101897.

  • Heim, R.H.; Wright, I.J.; Scarth, P.; Carnegie, A.J.; Taylor, D.; Oldeland, J. (2019) Multispectral, Aerial Disease Detection for Myrtle Rust (Austropuccinia psidii) on a Lemon Myrtle Plantation. Drones 2019, 3, 25. doi: 

  • Lymburner, L., Bunting, P., Lucas, R., Scarth, P., Alam, I., Phillips, C., Ticehurst, C., and Held, A. (2019) Mapping the multi-decadal mangrove dynamics of the Australian coastline. Remote Sensing of Environment: 111185. doi:

  • Melville, Bethany, Adrian Fisher, and Arko Lucieer. (2019) Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery. International Journal of Applied Earth Observation and Geoinformation 78:14-24. doi:

  • Scarth, Peter, John Armston, Richard Lucas, and Peter Bunting. (2019) A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data. Remote Sensing 11 (2):147. doi:

  • Tu, Y. H., K. Johansen, S. Phinn, and A. Robson. (2019) Measuring canopy structure and condition using multi-spectral UAS imagery in a horticultural environment. Remote Sensing 11 (3). doi: 10.3390/rs11030269.

Conference Papers

Books and Book Chapters