Discovery Early Career Researcher Award - Grant ID: DE220100094
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
A new 3D data model to integrate underground land information in Australia. This project aims to develop a novel 3D digital approach to managing subterranean ownership spaces by referencing these spaces to the physical reality of the underground environment. This project expects to generate new knowledge in the area of underground land administration using new 3D data modelling techniques. Expected outcomes of this project include a new underground 3D data model to improve management and communi ....A new 3D data model to integrate underground land information in Australia. This project aims to develop a novel 3D digital approach to managing subterranean ownership spaces by referencing these spaces to the physical reality of the underground environment. This project expects to generate new knowledge in the area of underground land administration using new 3D data modelling techniques. Expected outcomes of this project include a new underground 3D data model to improve management and communication of physical location and ownership extent of Australia’s underground assets. This should provide significant benefits such as protecting underground assets, decreasing the risk of damaging utilities, avoiding unnecessary disruptions and delays when planning, constructing and managing underground infrastructure. Read moreRead less
Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to suppo ....Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to support critical applications such as urban walkability (health), space and asset management (guidance, flow management), and public safety (evacuation). In contrast to conventional algorithms, we will take a novel approach based on human cognition to define this universal graph and then integrate topology and geometry.Read moreRead less
Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less
A digital twin framework for human mobility measurement in the home setting. Mobility is essential to maintain quality of life and healthy ageing, yet we do not have the capability to perform accurate long-term mobility assessments of a person in their home or community. This project will overcome this engineering challenge by developing a user-friendly ‘digital twin’ that combines wearable sensors, 3D mapping and artificial intelligence to predict and visualise real-time human joint motion and ....A digital twin framework for human mobility measurement in the home setting. Mobility is essential to maintain quality of life and healthy ageing, yet we do not have the capability to perform accurate long-term mobility assessments of a person in their home or community. This project will overcome this engineering challenge by developing a user-friendly ‘digital twin’ that combines wearable sensors, 3D mapping and artificial intelligence to predict and visualise real-time human joint motion and mobility in any location. This digital twin framework will benefit next-generation healthcare for older Australians, including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101153
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Mapping resources, demands and constraints to critical metal supplies. This project aims to assess the mineral resources of five metals needed for renewable energy transitions and map the potential impacts of their mining. It uses novel geochemical proxy models to build highly detailed resource databases and demonstrates a world-first use of cloud-computing power to assess worldwide satellite data of mine areas. Expected outcomes include in-depth knowledge of geological endowments and global-sca ....Mapping resources, demands and constraints to critical metal supplies. This project aims to assess the mineral resources of five metals needed for renewable energy transitions and map the potential impacts of their mining. It uses novel geochemical proxy models to build highly detailed resource databases and demonstrates a world-first use of cloud-computing power to assess worldwide satellite data of mine areas. Expected outcomes include in-depth knowledge of geological endowments and global-scale patterns of mining emerging to meet changing metal demands, plus the discovery of geological and socio-environmental constraints to future supplies. This will enhance government and industry capacities for de-risking metal supply chains, and facilitate more sophisticated land use planning of mining regions.Read moreRead less
Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas ....Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas with an appropriate spatio-temporal detail, and for a soil depth that closely approximates the layer which impacts crop/pasture growth and influences management decisions. The longer P-band allows deeper penetration into the soil while the active/passive combination uses the respective resolution and accuracy characteristics.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
Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and pl ....Non-differentiable Energy Minimisation For Modelling Fractured Porous Media. This project is aimed at advancing theoretical, computational and experimental bases for the fracturing of geomaterials, and providing scientists and engineers with much needed predictive tools for quantitative assessment of the responses. By incorporating previously neglected aspects such as energy minimisation, advanced constitutive modelling, and non-planar interacting fracture growth, confidence in the design and planning of engineering processes in fractured porous media will be increased to the point that costly over/under designs are avoided. Through the use of the tools developed, it will be possible to detect weaknesses in the design, assess the impact and implement effective measures to improve performance.Read moreRead less
Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city enviro ....Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city environments. Expected outcomes include an effective pipe burst early warning system and the implementation of an active burst prevention and targeted pipe replacement strategy. This should significantly reduce the burst rates and associated interruptions in Adelaide and save millions of dollars every year in pipe relay programs.Read moreRead less