Senior Lecturer in Remote Sensing and GIS
MSc Utrecht University (NL), PhD Utrecht University and ITC (NL)
|Contact Campus||Sandy Bay Campus|
|Building||Spatial Information Science - Building 9|
|Telephone||+61 3 6226 2140|
|Fax||+61 3 6226 7628|
I am coordinating and teaching the following units:
I have supervised to successful completion:
I continue to supervise 12 PhD students, and several MAppSci and Honours students.
An overview of my research funding can also be found on the WARP database
I am a Senior Lecturer in Remote Sensing and GIS in the Geography and Spatial Sciences Discipline. My area of expertise is in environmental remote sensing focusing on the analysis of satellite and airborne imagery, in particular image texture measures, image classification, object-based image analysis, change detection, and terrain analysis techniques. My research focus is on the development and application of Unmanned Aircraft Systems (UAS) for environmental remote sensing and aerial surveying applications. I am the founder and team leader of the TerraLuma research group at UTAS. My team has integrated advanced sensors on UAS for a wide range of real-worlds applications, e.g. agriculture, landslides, vegetation mapping, erosion, Antarctic moss beds, etc. For more information see the following websites: http://www.terraluma.net and http://www.lucieer.net
TerraLuma: Unmanned Aircraft Systems (UAS) for environmental remote sensing and aerial surveys
The TerraLuma research project at the University of Tasmania develops novel tools and algorithms for environmental remote sensing applications and aerial surveys using Unmanned Aircraft Systems (UAS), also known as UAVs or drones. Up-to-date and accurate spatial data are of crucial importance for sustainable management of our eco- and agrosystems. UAS offer an exciting and novel opportunity to map and understand the environment in greater detail than ever before. One of the unique aspects of our project is that we operate and integrate multiple sensors to "make the invisible visible". These specialised sensor include multispectral and hyperspectral (VNIR), thermal, and LiDAR sensors to map and monitor different aspects of the environment at centimetre resolution. The primary advantage of UAS-based remote sensing is the ability to bridge the scale gap between field-based observations and full-scale airborne or satellite observations. The key advantages of UAS for agricultural and environmental remote sensing are their capacity to: 1) collect ultra-high spatial resolution imagery (1 – 20 cm), 2) acquire data on-demand at critical times, and 3) carry multiple sensors that can collect imagery outside of the human visible range.
We have worked on a range of applications, including precision agriculture and viticulture; mapping and monitoring vegetation in remote locations such as Antarctica; deriving 3D tree structure for forest inventories; landslide deformation monitoring; 3D stock pile and quarry surveys and volume estimations; assessment of coastal erosion; mapping of geological structures; better understanding functions of natural vegetation communities such as saltmarshes; transforming images into knowledge.
Authorised by the Head of School, Land & Food
1 September, 2014