Dr Karen Joyce
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.
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.
|James Boyden||PhD Student||Application of very high resolution remote sensing to understand the distribution ecology para grass on the Megela Creek floodplain, Kakadu National Park||Current|
|Muditha Heenkenda||PhD Student||A transition from traditional mangrove remote sensing to recent advances: Mapping and monitoring||Current|
|Olukemi Alaba||Masters Student|