Next-generation ocean current forecasting to improve maritime safety . This project aims to measure upper ocean currents at scales of 10-100 km in Australia's marine estate using pioneering satellite radar technology. The Surface Water and Ocean Topography (SWOT) mission will map currents at 10 times the resolution of present-day satellites and revolutionise our understanding of ocean dynamics. Expected outcomes include validation of SWOT data in Australian waters and merging this data into Bure ....Next-generation ocean current forecasting to improve maritime safety . This project aims to measure upper ocean currents at scales of 10-100 km in Australia's marine estate using pioneering satellite radar technology. The Surface Water and Ocean Topography (SWOT) mission will map currents at 10 times the resolution of present-day satellites and revolutionise our understanding of ocean dynamics. Expected outcomes include validation of SWOT data in Australian waters and merging this data into Bureau of Meteorology ocean models. Downstream benefits include improved ocean forecasts for maritime safety, search-and-rescue, spill modelling, and marine conservation. At the same time, the project will build sovereign capability in emerging remote sensing technology with a legacy beyond the life of the SWOT mission.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100095
Funder
Australian Research Council
Funding Amount
$378,920.00
Summary
Using systems science to secure the health workforce against climate change. The widespread maldistribution of the Australian health workforce is creating significant health human resource shortages in non-urban areas of need. Climate-related extreme weather events (i.e., heat, droughts, fires, floods) are projected to exacerbate workforce deficiencies in rural regions. This project aims to explore how climate change will impact the future of the rural health workforce through a novel integratio ....Using systems science to secure the health workforce against climate change. The widespread maldistribution of the Australian health workforce is creating significant health human resource shortages in non-urban areas of need. Climate-related extreme weather events (i.e., heat, droughts, fires, floods) are projected to exacerbate workforce deficiencies in rural regions. This project aims to explore how climate change will impact the future of the rural health workforce through a novel integration of computational systems science methods. The project expects to discover new policies to correct the maldistribution and strengthen the resilience of the rural health workforce against climate change impacts. Benefits include a sustained and more adaptable workforce leading to improved health for vulnerable communities.Read moreRead less
Averting Disaster: New Ways to Assess Bushfire Risk and Building Integrity. This project aims to develop a new method of assessing bushfire risk and building integrity using drone-based advanced technologies and computational fluid dynamics based heat transfer modelling for buildings located in bushfire prone areas. This coupled approach will enable the evaluation of bushfire effects on buildings and provide pre-bushfire condition/risk assessments, and site-specific cost-effective remedial actio ....Averting Disaster: New Ways to Assess Bushfire Risk and Building Integrity. This project aims to develop a new method of assessing bushfire risk and building integrity using drone-based advanced technologies and computational fluid dynamics based heat transfer modelling for buildings located in bushfire prone areas. This coupled approach will enable the evaluation of bushfire effects on buildings and provide pre-bushfire condition/risk assessments, and site-specific cost-effective remedial actions to reduce or eliminate bushfire damage and mitigate the risks pre-bushfire season. The new method will be applied to three selected buildings through which further enhancements and validations can be achieved. This project will showcase how the selected buildings and their components can be made bushfire safe.Read moreRead less
Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from sate ....Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from satellites.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101182
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function m ....Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function measurements, at leaf and canopy scales, with imaging and ranging data in 3D computer modelling techniques. This will address the need to optimise food production and to sustainably manage ecosystem services in a changing climate, with preferential benefits for extensive and inaccessible Australian landscapes.Read moreRead less
Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expect ....Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expected outcomes of this project will be better management options to safeguard allergy sufferers and improved ecological and pollen forecasts under climate change and extreme events. This project should provide important public health benefits and disease mitigation strategies to Australia's urban and remote areas.
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Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to ....Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to see local grass flowers and integrate this with air sensors trained to detect grass pollen types. The expected outcomes are new capacities to track airborne grass pollen types. These outcomes can transform how pollen can be monitored to reduce the burden of allergies, and provide evidence of changing airborne pollen loads.
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