Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Robotic investigation of water optical properties in the Southern Ocean. The project aims to improve our understanding of light–matter interactions in the waters of the Southern Ocean (SO), in particular the role of phytoplankton and associated material of biological origin. Phytoplankton are the energy source for the food web and a critical component of carbon cycling in the SO. However, their dynamics in the SO cannot be quantified using satellite observations because bio-optical data processi ....Robotic investigation of water optical properties in the Southern Ocean. The project aims to improve our understanding of light–matter interactions in the waters of the Southern Ocean (SO), in particular the role of phytoplankton and associated material of biological origin. Phytoplankton are the energy source for the food web and a critical component of carbon cycling in the SO. However, their dynamics in the SO cannot be quantified using satellite observations because bio-optical data processing algorithms perform poorly due to a lack of field data. This project seeks to remedy this by improving understanding of SO bio-optics, and by providing novel algorithms of known uncertainty, based on in situ data.Read moreRead less