Research Fellow - School of Science and Technology; Precision Agriculture Research Group (PARG)
Phone: +61 02 6773 5668
Jasmine is a Research Fellow within the Precision Agriculture Research Group. Her research interests include remote sensing and geospatial analysis. Her remote sensing work involves mapping and monitoring agricultural crops and native vegetation, using active sensors (radar and lidar) and multi-temporal analysis of medium and high resolution satellite imagery. She is working with Associate Professor Andrew Robson on the UNE component of the Rural Research and Development for Profit Project titled ‘Multi-scale Monitoring Tools for Managing Australian Tree Crops - Industry Meets Innovation’. In addition, she will work on remote sensing for sugar cane in a project funded by Sugar Research Australia (SRA). Combining her ecology and remote sensing background, Jasmine also has a strong interest in the use of remote sensing to assess the “condition” and structure of native vegetation in production environments. She is also an avid proponent, tester and developer of open-source Python libraries for image analysis.
Working within the spatial industry since the early 2000’s and as a Remote Sensing Scientist for the Queensland Government for 11 years, Jasmine has a vast amount of experience within industry and government. She has managed and collaborated on a broad range of remote sensing projects including: koala habitat mapping, vegetation structure assessment, ground cover monitoring, detection of biosecurity threats and land cover mapping. Jasmine was an Australian Youth Ambassador at the Vietnamese Academy of Science and Technology, Hanoi, Vietnam. During this time, she also developed links within the international consulting community, which led to work on the “Environmental Impact Assessment of Hydropower on the Mekong”. In 2014 she received an Australian Endeavour Scholarship, and spent 6 months at Boston University and University of Massachusetts, Boston, MA, USA, working with world experts in terrestrial lidar for forest ecosystems. She is also a member of the international Research Coordination Network “RCN-IDBR: Coordinating the Development of Terrestrial Lidar Scanning for Forest Carbon Inventory and Ecological Applications”, which includes researchers from universities across the US, UK, Europe and Australia.
BSc(Ecology), MGIS, PhD (2017)
Remote sensing in precision agriculture and land cover mapping
Lidar for assessing vegetation structure and topography
Goodwin, N.R., Armston, J., Stiller, I., Muir, J., 2016. Assessing the repeatability of terrestrial laser scanning for monitoring gully topography: A case study from Aratula, Queensland, Australia. Geomorphology 262, 24–36. doi:10.1016/j.geomorph.2016.03.007
Scarth, P., Armston, J., Flood, N., Denham, R., Collett, L., Watson, F., Trevithick, B., Muir, J., Goodwin, N., Tindall, D., Phinn, S. (2015) Operational Application of the Landsat Timeseries to Address Large Area Landcover Understanding, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W3, 2015, pp.571-575
Schaaf, C., Paynter, I., Saenz, E. J., Li, Z., Strahler, A. H., Peri, F., Erb, A., Raumonen, P., Muir, J., Howe, G., Hewawasam, K., Martel, J., Douglas, E. S., Chakrabarti, S., Cook, T., Schaefer, M., Newnham, G., Jupp, D., van Aardt, J. A., Kelbe, D., Romanczyk, P., Faulring, J. (2014) Using the Rapid-Scanning, Ultra-Portable, Canopy Biomass Lidar (CBL) Alone and In Tandem with the Full-Waveform Dual-Wavelength Echidna® Lidar (DWEL) to Establish Forest Structure and Biomass Estimates in a Variety of Ecosystems. In: Proceedings of the American Geophysical Union (AGU) Fall Meeting, San Francisco, December 2014.
Newnham, G., Armston, J., Muir, J., Goodwin, N., Tindall, D., Culvenor, D., Püschel, P., Nyström, M. & Johansen, K. (2012) Evaluation of Terrestrial Laser Scanners for Measuring Vegetation Structure. CSIRO Sustainable Agriculture Flagship, Manuscript ID: EP124571.
Newnham, G., Mashford, J., Pueschel, P., Armston, J., Culvenor, D., Siggins, A., Nyström, M.,Goodwin, N., & Muir, J. (2012): Non-Parametric Point Classification for Phase-Shift Laser Scanning. Silvilaser 2012, Vancouver, Canada, 16-19 September. (Full paper + oral presentation)
Newnham, G., Goodwin, N., Armston, J., Muir, J., Culvenor, D. (2012) Comparing time-of-flight and phase-shift terrestrial laser scanners for characterising topography and vegetation density in a forest environment. Silvilaser 2012, Vancouver, Canada, 16-19 September. (Full paper + oral presentation)
Muir J., Clark A., & Tindall D. (2012). Evaluation of remote sensing techniques to detect change in Koala Habitat in South East Queensland: Final Report. Brisbane: Department of Science, Information Technology, Innovation and the Arts, Queensland Government.
Muir, J., Schmidt, M., Tindall, D., Trevithick, R., Scarth, P., and Stewart, J. B (2011) Field measurement of Fractional Ground Cover: A technical handbook supporting ground cover monitoring for Australia. Prepared by the Queensland Department of Environment and Resource Management for the Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, November.
Muir, J. (2010) Using remote sensing to map the invasive weed Prickly Acacia (Acacia niolotica ssp. Indica) in the Mitchell Grass Downs Bioregion, Queensland. In: Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference, Alice Springs, September 13th –16th. (Full paper + oral presentation)
Pringle, M., Schmidt, M. And Muir, J. (2009), Geostatistical interpolation of SLC-off Landsat ETM+ images, ISPRS Journal of Photogrammetry and Remote Sensing, 64, 654-664.
Title: Muir, J. S. and Danaher, T. (2008) Mapping water body extent through time series analysis of Landsat imagery. In: Proceedings of the 14th Australasian Remote Sensing and Photogrammetry Conference, Darwin, September 29th – October 3rd, (Eds E. Edwards and R. Bartolo)
Scarth, P., Gillingham, S., & Muir, J. (2008) Assimilation of spectral information and temporal history into a statewide woody cover change classification, In: 14th Australian Remote Sensing and Photogrammetry Conference, Darwin, September 29th – October 3rd, (Eds E. Edwards and R. Bartolo)