Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier- ....Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier-phase measurements for instantaneous precise orbit and attitude determination of the Cubesats. The project will also pioneer the use of the satellite based augmentation systems (SBAS), supporting the future Australian SBAS program, and the development of integrated algorithms for space-based, Precise Point Positioning with fixed ambiguities supported by SBAS.Read moreRead less
P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil ....P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil using an L-band radiometer. This project is expected to give farmers the soil moisture data they need to optimise their available water resources to maximise food productionRead moreRead less
Remote sensing of biotic stress with hyperspectral-fluorescence imaging. This project aims to investigate new indicators of crop biotic stress using innovative airborne remote sensing and imaging spectroscopy for biosecurity applications. Current satellites used to monitor crops and forests do not meet the spectral and spatial details that are required for the early -previsual- detection of biotic and abiotic stress. Accordingly, this project's significance focuses on new insights to detect the ....Remote sensing of biotic stress with hyperspectral-fluorescence imaging. This project aims to investigate new indicators of crop biotic stress using innovative airborne remote sensing and imaging spectroscopy for biosecurity applications. Current satellites used to monitor crops and forests do not meet the spectral and spatial details that are required for the early -previsual- detection of biotic and abiotic stress. Accordingly, this project's significance focuses on new insights to detect the alteration of photosynthetic indicators of plant functioning, building on recent breakthroughs with airborne hyperspectral imaging and remote sensing technologies. The outcomes will provide significant benefits to Australia in the detection of harmful diseases and improved water and nutrient monitoring methods.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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Mangrove sustainability on the Australian coast. This project aims to model the response of mangroves and adjoining communities to sea-level rise. Australia’s coastline supports some of the most extensive and diverse mangrove forests globally, and mangrove response models are urgently needed to plan for Australia’s coastal future and global sea-level rise adaptation. Bringing together world-leading specialists in geomorphology and spatial analysis, we will project the response of Australia’s man ....Mangrove sustainability on the Australian coast. This project aims to model the response of mangroves and adjoining communities to sea-level rise. Australia’s coastline supports some of the most extensive and diverse mangrove forests globally, and mangrove response models are urgently needed to plan for Australia’s coastal future and global sea-level rise adaptation. Bringing together world-leading specialists in geomorphology and spatial analysis, we will project the response of Australia’s mangrove shorelines to sea-level rise, indicating the implications for blue carbon stocks, adjoining communities, infrastructure and assets. Significant benefits will be provided to sustainable coastal management and national carbon accounting efforts.Read moreRead less