Team Members
The Ensis Remote Sensing team consists of a group of talented and highly-skilled experts working across a broad range of remote sensing technologies and applications.
Dr Darius Culvenor is the group leader and a research scientist for the Remote Sensing group. He completed a PhD in high spatial resolution remote sensing of forest structure following a bachelor degree in Forest Science from the University of Melbourne. Darius continues his research in high resolution remote sensing in addition to ground and airborne lidar systems and sensors & sensor networks for forest assessment.
Dr Glenn Newnham has skills in the broad scale assessment of vegetation structure and condition. Prior to joining Ensis, Glenn worked with the CSIRO Divisions of Atmospheric Research and Exploration and Mining on a variety of vegetation assessment methods involving the application of airborne hyperspectral, ground based and airborne lidar instruments. His duties primarily involve the development, implementation and validation of remotely sensed data processing algorithms and information products.
Dr Neil Sims came to the group with a background in water resources research having worked at the CRC for Freshwater Ecology whilst he completed his PhD which used satellite images to examine the landscape-scale structure and functioning of floodplains. Neil’s recent work includes the use of high resolution and hyperspectral images to measure the health of native and plantation forests, including assessing the foliar nutrition of coniferous species, and to predict changes in catchment water yield as forests recover from bushfires. Neil is also a Project Leader (Project 1.1: Monitoring and Measuring) in the CRC for Forestry.
Dr Jan Verbesselt is a post-doctoral research fellow with the Ensis Remote Sensing team. He obtained his PhD degree investingating the use of high temporal resolution remote sensing to monitor vegetation dynamics as a Research Associate at the Katholieke Universiteit Leuven from 2002 till 2006. He has also completed a Bio-Engineering degree and M.Sc. degree in earth observation from the Katholieke Universiteit Leuven, Belgium. Jan continues his research in high temporal resolution remote sensing focusing on monitoring forest health dynamics by multi spatio-temporal satellite datasets (e.g., Quickbird, Hyperion, Landsat, MODIS).
Anders Siggins specialises in the analysis of satellite image and airborne lidar data for forest resource assessment and prediction. He has particular interest in the integration of remotely sensed data and physiological growth models. Anders previously worked with ground penetrating radar systems, robotic systems with ABB Robotics, (located in Västeras, Sweden), and the simulation of petroleum mining platforms with the CSIRO Department of Petroleum Resources. Anders is actively developing software tools and algorithms to aid in ongoing forestry research and has developed, and maintains, a spatial version of the widely used 3-PG forest growth model, which is used for both research and commercial purposes. He has also developed a toolset for extraction of vegetation and terrain information from large volume airborne lidar datasets.
Kimberley Opie is a graduate of Geomatics and Computer Science from the Royal Melbourne Institute of Technology (RMIT). A specialist in Geographic Information Systems (GIS) and remote sensing, her experience ranges from satellite data acquisitions, image and vector analysis, software development and web authoring. Whilst studying Kimberley worked a number of years with CSIRO Legal.
General enquiries:
Australia 1800 231 051
New Zealand 0800 231 051
International +61 3 9545 2176