Dr Karen Joyce

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Karen graduated in 2004 from with a PhD in Geographical Sciences from the University of Queensland. Her focus was on mapping live coral cover using remote sensing. Using her remote sensing expertise for a variety of applications, she has since worked as a Geomatic Engineering Officer in the Australian Army, developed models for spatially explicit mapping of recreation opportunities across New Zealand’s conservation estate, and developed techniques for integrating remote sensing into all phases of the disaster management cycle.

Her primary area of interest is in the application and automation of remote sensing tools for environmental monitoring and management problems. While the environmental target may vary from marine and coastal through to savanna ecosystems, her common approach is to optimise models for rapid quantitative information extraction and communication purposes.

Karen is also the unit coordinator for:
 ENV101 - Earth Systems, ENV202/502 - Introductory Remote Sensing, and ENV306/506 - Environmental Monitoring and Modelling. She actively publishes a educational videos on her YouTube channel and was the key developer in the freely available Remote Sensing Computer Aided Learning program. 

Year Type Citation
2014 Journal Article Joyce, K. E., Samsonov, S. V., Levick, S. R., Engelbrecht, J. & Belliss, S. Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data. Natural Hazards (2014). doi:10.1007/s11069-014-1122-7
2013 Journal Article Joyce, K. E., Phinn, S. R. & Roelfsema, C. M. Live Coral Cover Index Testing and Application with Hyperspectral Airborne Image Data. Remote Sensing 5, (2013).
2013 Journal Article Boyden, J., Joyce, K. E., Boggs, G. & Wurm, P. Object-based mapping of native vegetation and para grass (Urochloa mutica) on a monsoonal wetland of Kakadu NP using a Landsat 5 TM Dry-season time series. Journal of Spatial Science 58, 53 - 77 (2013).
2013 Journal Article Joyce, K. E. Spectral index development for mapping live coral cover. Journal of Applied Remote Sensing 7, 073590 (2013).
2010 Journal Article Joyce, K. E., Wright, K. C., Ambrosia, V. & Samsonov, S. V. Incorporating Remote Sensing into Emergency Management. Australian Journal of Emergency Management 25, (2010).
2009 Book Joyce, K. E., Wright, K. C., Samsonov, S. V. & Ambrosia, V. G. Remote sensing and the disaster management cycle. Advances in Geoscience and Remote Sensing (InTech, 2009). doi:10.5772/8341
2009 Journal Article Joyce, K. E. et al. Remote sensing data types and techniques for lahar path detection: A case study at Mt Ruapehu, New Zealand. Remote sensing of Environment 113, (2009).
2009 Journal Article Joyce, K. E. & Sutton, S. A method for automatic generation of the Recreation Opportunity Spectrum in New Zealand. Applied Geography 29, 409 - 418 (2009).
2009 Journal Article Joyce, K. E., Belliss, S. E., Samsonov, S. V., McNeill, S. J. & Glassey, P. J. A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters. Progress in Physical Geography 33, 183 - 207 (2009).
2004 Journal Article Hedley, J. D., Mumby, P. J., Joyce, K. E. & Phinn, S. R. Spectral unmixing of coral reef benthos under ideal conditions. Coral Reefs 23, 60 - 73 (2004).
2004 Journal Article Joyce, K. E., Phinn, S. R., Roelfsema, C. M., Neil, D. T. & Dennison, W. C. Combining Landsat ETM+ and Reef Check classifications for mapping coral reefs: a critical assessment from the southern Great Barrier Reef, Australia. Coral Reefs 23, 21 - 25 (2004).
2003 Journal Article Joyce, K. E. & Phinn, S. R. Hyperspectral analysis of chlorophyll content and photosynthetic capacity of coral reef substrates. Limnology and Oceanography 48, (2003).
2003 Journal Article Andréfouët, S. et al. Multi-site evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sensing of Environment 88, 128 - 143 (2003).
2002 Journal Article Joyce, K. E. & Phinn, S. R. Bi-directional reflectance of corals. International Journal of Remote Sensing 23, 389 - 394 (2002).

PhD Projects:

1. The level of spatial and temporal detail provided by a Unmanned Airborne Vehicle (UAV) is unsurpassed by any other technology and there is a critical gap in the understanding of their use and exploitation to inform disaster management. Their flexibility and rapid deployment capability is of vital importance for monitoring fires and other natural hazards, a field of intense interest not only in the NT, but nationally and internationally. However this capability is not yet available in the NT, and research is required determine their best practise for use. This project will focus on the development of automated systems, processes, and products that will enable UAVs to be incorporated seamlessly into the disaster management cycle.

2. Unmanned Airborne Vehicles (UAVs or ‘drones’) have the ability to capture very high detail imagery in a time and cost effective manner for the purpose of environmental monitoring. They provide the ability to repeatedly visit and monitor small areas, where the conditions may be frequently changing, at scales that are not achievable with other satellite or manned platforms. This gives a niche capability to acquire high resolution data for the purpose of calibrating and validating broader area remote sensing products. This project will focus specifically on the use of UAVs for calibrating and validating remote sensing models relating to fire, fuel loads, and ecosystem recovery in savannahs.

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