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Australian State/Territory : NT
Research Topic : Natural language processing
Status : Closed
Australian State/Territory : SA
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989062

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Airborne hyper-spectral scanning for advanced monitoring and assessment of vegetation and water properties. The proposed infrastructure will give Australian researchers the most advanced capabilities available world-wide in airborne remote sensing of the environment. By combining hyper-spectral scanning, with full wave-form resolving Light Detection and Ranging (LIDAR), microwave scanning and sythetic aperture RADAR, flown simultaneously on the most cost-efficient and technologically advanced re .... Airborne hyper-spectral scanning for advanced monitoring and assessment of vegetation and water properties. The proposed infrastructure will give Australian researchers the most advanced capabilities available world-wide in airborne remote sensing of the environment. By combining hyper-spectral scanning, with full wave-form resolving Light Detection and Ranging (LIDAR), microwave scanning and sythetic aperture RADAR, flown simultaneously on the most cost-efficient and technologically advanced research aircraft, it will be possible to assess and monitor a wide range of parameters not accessible to airborne methods before.
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    Funded Activity

    Linkage Projects - Grant ID: LP0346929

    Funder
    Australian Research Council
    Funding Amount
    $294,000.00
    Summary
    Applying macroecology to assist in the management of Kakadu National Park. The ecological integrity of Kakadu National Park is threatened by fires, weeds, and feral animals. To help tackle these problems, we will develop a cost-effective, culturally appropriate, park-wide monitoring system based on changes in the boundaries of closed forests, woodland and grassland. We will gauge the effect of broad-scale land management interventions, and predict the consequences of future change. The findings .... Applying macroecology to assist in the management of Kakadu National Park. The ecological integrity of Kakadu National Park is threatened by fires, weeds, and feral animals. To help tackle these problems, we will develop a cost-effective, culturally appropriate, park-wide monitoring system based on changes in the boundaries of closed forests, woodland and grassland. We will gauge the effect of broad-scale land management interventions, and predict the consequences of future change. The findings of this study will be transferable to other landscape settings in Australia and overseas. It will contribute to debates about the ecological consequences of current land management practices and how these compare with past Aboriginal land management.
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    Funded Activity

    Research Networks - Grant ID: RN0459895

    Funder
    Australian Research Council
    Funding Amount
    $1,600,000.00
    Summary
    ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme .... ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.
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    Showing 1-3 of 3 Funded Activites

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