Our goal is a virtual environment for collecting, analysing, modelling and visualising the real environment. The environment will allow scientists to live in their data and to collaborate through it (a form of augmented reality). Sensors will monitor the environment and can be remotely controlled. Sensor data will be combined with remote sensing data to yield detailed information about the environment and how it is changing. Sophisticated analyses will detect trends; recognise fauna, weather and human disturbance; and correlate changes over time. The incorporation of predictive models will enable future scenarios to be analysed and visualised.
The important research topics are:
- How can the environment be sensed?
- How can sensors be managed and how can sensors function autonomically and yet be remotely controlled?
- How can sensor data be analysed, behaviour detected including fauna, weather, human disturbance?
- How can sensor data be visualised and catalogued, and how can scientists collaborate through the data?
Applications:
- environmental banking (environmental auditing
- environmental monitoring
- smart agriculture
This project involves collaboration with the QUT Institute for Sustainable Resources (
ISR)
People
| Binh Pham (Project Leader) | Paul Roe (Project Leader) |
| Mark Richards | Jinhai Cai |
| Richard Mason | Andy Lau |
| Dian Tjondronegoro | Katrin Weise |
Jinglan Zhang
| Carol Richter
|
| Stuart Gage (MSU) | Peter Grace (ISR, QUT) |
