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Australian State/Territory : NT
Australian State/Territory : TAS
Research Topic : Program evaluation
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775760

    Funder
    Australian Research Council
    Funding Amount
    $101,967.00
    Summary
    Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and .... Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and GIS technologies which will have many community benefits through better management of water resources, land degradation, wetlands, cultural knowledge and sustainable use of Australian biodiversity. The infrastructure will also assist in the training of new researchers within this developing field.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349305

    Funder
    Australian Research Council
    Funding Amount
    $144,000.00
    Summary
    Managing endangered Banteng in a jointly-managed national park: contested values, Indigenous aspirations and resource use. Should north Australia's huge populations of feral animals be eradicated for conservation, or exploited as a rare opportunity for Aboriginal enterprise in remote regions? We examine options for a herd of Banteng, a cattle species endangered in its native Asian range but abundant in Gurig Ganak Barlu National Park, Aboriginal land managed jointly by traditional owners and a c .... Managing endangered Banteng in a jointly-managed national park: contested values, Indigenous aspirations and resource use. Should north Australia's huge populations of feral animals be eradicated for conservation, or exploited as a rare opportunity for Aboriginal enterprise in remote regions? We examine options for a herd of Banteng, a cattle species endangered in its native Asian range but abundant in Gurig Ganak Barlu National Park, Aboriginal land managed jointly by traditional owners and a conservation agency. In this unique cross-disciplinary study Aboriginal and non-Aboriginal stakeholders will identify Park values that may be threatened by Banteng. Those values will be incorporated in decision-support tools (bio-economic models) identifying tradeoffs between protecting values and providing incomes for Indigenous landowners.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210301239

    Funder
    Australian Research Council
    Funding Amount
    $537,675.00
    Summary
    Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop .... Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).
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