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Field of Research : Geospatial Information Systems
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Geospatial Information Systems (5)
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  • Researchers (50)
  • Funded Activities (5)
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  • Active Funded Activity

    Special Research Initiatives - Grant ID: SR200200227

    Funder
    Australian Research Council
    Funding Amount
    $277,000.00
    Summary
    Indigenous Engineering: interpreting engineering foundations of Budj Bim. The Budj Bim World Heritage Cultural Landscape is internationally recognised for preserving the world’s oldest aquaculture system, which provided an economic and social base for the Gunditjmara people of South-western Victoria for more than six millennia. This project aims to elucidate the engineering processes that enabled the Gunditjmara to site, plan, construct, operate and maintain this aquaculture complex, to show how .... Indigenous Engineering: interpreting engineering foundations of Budj Bim. The Budj Bim World Heritage Cultural Landscape is internationally recognised for preserving the world’s oldest aquaculture system, which provided an economic and social base for the Gunditjmara people of South-western Victoria for more than six millennia. This project aims to elucidate the engineering processes that enabled the Gunditjmara to site, plan, construct, operate and maintain this aquaculture complex, to show how it may have evolved over time, and how it responded to changing social and environmental circumstances. This project will develop geospatial methods to uncover and document the technological foundations of the aquaculture complex, and contribute to the understanding of the Gunditjmara technological knowledge and history.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP170101054

    Funder
    Australian Research Council
    Funding Amount
    $374,000.00
    Summary
    Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an appro .... Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an approach to harness all of these data streams to guide spatially variable applications of nitrogen fertilisers with a focus on grains cropping. This should provide the opportunity to allocate fertiliser inputs as required at fine spatial scales according to local soil and weather conditions to maximise profit and minimise off-farm impacts of excessive fertilisation.
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    Active Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH210100048

    Funder
    Australian Research Council
    Funding Amount
    $4,980,000.00
    Summary
    ARC Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors. RIIS will deliver transformational technologies to address Australia’s critical infrastructure needs. It will integrate advances in sensor technology, connectivity, data analytics, machine learning, robotics, smart materials, and reliable models to deliver resilient and adaptive infrastructure systems in urban, energy and resources sectors. All three sector .... ARC Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors. RIIS will deliver transformational technologies to address Australia’s critical infrastructure needs. It will integrate advances in sensor technology, connectivity, data analytics, machine learning, robotics, smart materials, and reliable models to deliver resilient and adaptive infrastructure systems in urban, energy and resources sectors. All three sectors are critical to Australia's prosperity and well-being. It will engage with industry, government, and community to unlock scientific roadblock, deliver foundational skills, and translate research and development to commercial opportunities. Benefits include: improved productivity, competitiveness, resiliency, safety; growth, job creation; technological leadership, and export potential.
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    Active Funded Activity

    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101156

    Funder
    Australian Research Council
    Funding Amount
    $347,000.00
    Summary
    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.
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