From environmental monitoring to management: extracting knowledge about environmental events from sensor data. New, high-detail sources of environmental sensor data are useless without new methods for identifying patterns and extracting knowledge from that data. This project will develop improved techniques for interacting with environmental sensor data to assist environmental scientists and manager in understand the important events that are occurring.
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
Why ocean deserts matter: Phytoplankton productivity in oligotrophic waters. This project aims to revisit the role of ocean deserts in the global ocean primary production. Because of their extent, these areas are paradoxically responsible for about half the global ocean carbon fixation. The project will use a unique combination of optical and biogeochemical data from a research voyage in the Indian Ocean, biogeochemical models and satellite observations, expecting to generate new knowledge on th ....Why ocean deserts matter: Phytoplankton productivity in oligotrophic waters. This project aims to revisit the role of ocean deserts in the global ocean primary production. Because of their extent, these areas are paradoxically responsible for about half the global ocean carbon fixation. The project will use a unique combination of optical and biogeochemical data from a research voyage in the Indian Ocean, biogeochemical models and satellite observations, expecting to generate new knowledge on the link between biogeochemical and optical quantities accessible to satellite remote sensing. Expected outcomes are improved estimates of phytoplankton carbon biomass and productivity, in particular in the Indian Ocean. A key benefit will be an improved end-user relevance of satellite monitoring of Australia’s oceans.Read moreRead less
Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate ho ....Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate how indicator design, data bias and environmental variability affect performance. Project outcomes are expected to ensure that that data collected to monitor and assess the state of Australia’s environment are informative, cost-effective and robust. This is expected to have implications for predicting and measuring effects of policy such as the Convention on Biological Diversity.Read moreRead less
Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the ....Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the fundamental problem of distorted and partial image query in cluttered background in order to achieve pest identification at a much earlier on-site stage. The success of this research will not only make a technical breakthrough towards retrieving objects with movable body parts, but also revolutionise the current pest detection and monitoring process.Read moreRead less
Ecohydrological forecasting: the pivotal role of root-zone soil moisture. This project aims to overcome the scientific and technological challenges preventing soil water and vegetation forecasting at useful land management scales (eg. 25 m). The significance is in enabling an unprecedented hyperresolution modelling capability for Australia through the integration of new ecohydrological theory with a range of satellite observations. Outcomes include more accurate, spatially-detailed information o ....Ecohydrological forecasting: the pivotal role of root-zone soil moisture. This project aims to overcome the scientific and technological challenges preventing soil water and vegetation forecasting at useful land management scales (eg. 25 m). The significance is in enabling an unprecedented hyperresolution modelling capability for Australia through the integration of new ecohydrological theory with a range of satellite observations. Outcomes include more accurate, spatially-detailed information of current soil water amounts, and reliable forecasts of vegetation condition several months into the future. This will greatly enhance timely decision making and forward planning by farmers, fire agencies, and other land and water managers, with corresponding increases in productivity, sustainability and community safety.Read moreRead less