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Socio-Economic Objective : Land and water management
Research Topic : spatial neglect
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  • Researchers (11)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0666300

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water res .... Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water resources in these areas. These innovative techniques will yield new information on critical water issues: water availability, salinity, groundwater/surface water interactions, climate and land use change impact. This project provides the basis for sustainable water use in regional Australia.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669819

    Funder
    Australian Research Council
    Funding Amount
    $223,020.00
    Summary
    Satellite based monitoring system of lakes and wetlands water quality. Effectively managing water resources within Australia is critical for social and economic growth. The large-scale of Australian catchments means that many lakes are unmonitored due to time and costs required for on-ground programs. This research project directly addresses the lack of observations. Information on water quality from satellite, on-ground, and modeling investigations are integrated to develop an operational moni .... Satellite based monitoring system of lakes and wetlands water quality. Effectively managing water resources within Australia is critical for social and economic growth. The large-scale of Australian catchments means that many lakes are unmonitored due to time and costs required for on-ground programs. This research project directly addresses the lack of observations. Information on water quality from satellite, on-ground, and modeling investigations are integrated to develop an operational monitoring system for surface water quality. Results are used to model the sensitivity of the water quality to changes in climate and land use. The monitoring system can be used to protect catchment assets by risk assessment and provide insights into management scenarios.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560584

    Funder
    Australian Research Council
    Funding Amount
    $274,901.00
    Summary
    The Integration of Built and Natural Environmental Datasets in National Spatial Data Infrastructure Initiatives. Delivering sustainable development nationally assumes knowledge about the natural and built environment. This requires access to data about these two environments which is facilitated by establishing a National Spatial Data Infrastructure (NSDI). The problem in Australia is that the states are the custodians of large to medium built and natural datasets while the Federal Government is .... The Integration of Built and Natural Environmental Datasets in National Spatial Data Infrastructure Initiatives. Delivering sustainable development nationally assumes knowledge about the natural and built environment. This requires access to data about these two environments which is facilitated by establishing a National Spatial Data Infrastructure (NSDI). The problem in Australia is that the states are the custodians of large to medium built and natural datasets while the Federal Government is the custodian of small scale natural datasets. While Australia has seen some success, the integration of these datasets is hampered by jurisdictional, institutional, administrative and legal issues. This research will investigate the differences in these forms of data and the justification and policy framework to integrate them in a NSDI.
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    Funded Activity

    Linkage Projects - Grant ID: LP0990019

    Funder
    Australian Research Council
    Funding Amount
    $120,000.00
    Summary
    Spatial and temporal monitoring of soil erosion risk with satellite imagery. This project is directed towards Sustainable farm practices, one of the national priorities in the Caring for Our Country program. The satellite image-based monitoring system will provide new information about the changing distribution of erosion risk in seasonal cropping systems, and identify areas where agricultural practices significantly influence this risk. The research will allow landholders, regional, state and n .... Spatial and temporal monitoring of soil erosion risk with satellite imagery. This project is directed towards Sustainable farm practices, one of the national priorities in the Caring for Our Country program. The satellite image-based monitoring system will provide new information about the changing distribution of erosion risk in seasonal cropping systems, and identify areas where agricultural practices significantly influence this risk. The research will allow landholders, regional, state and national authorities to better target effort towards sustainable land management, and improve monitoring and reporting of land condition across broad agricultural regions. Dynamic monitoring of erosion risk will also track landscape conditions and farmer responses to changing climate.
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    Funded Activity

    Discovery Projects - Grant ID: DP0450889

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data .... Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data so that it can be interpreted in conjunction with other similar data, or existing lower resolution data. Consequently, the potential uses of high resolution satellite imagery will be greatly increased, allowing many more users to access the advantages of this unique source of data.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343036

    Funder
    Australian Research Council
    Funding Amount
    $144,000.00
    Summary
    Setting Geographic Priorities for Integrated Landscape Restoration in a Fragmented Agricultural Region. This research project aims to develop the theory and application of integrated landscape restoration in a fragmented agricultural region - the Mt. Lofty Ranges of South Australia. Spatially explicit priorities will be set for the type and location of habitat to be restored for the benefit of the natural biodiversity within a physical environmental, economic and social context. Heuristic and op .... Setting Geographic Priorities for Integrated Landscape Restoration in a Fragmented Agricultural Region. This research project aims to develop the theory and application of integrated landscape restoration in a fragmented agricultural region - the Mt. Lofty Ranges of South Australia. Spatially explicit priorities will be set for the type and location of habitat to be restored for the benefit of the natural biodiversity within a physical environmental, economic and social context. Heuristic and optimisation models will be created within a Geographic Information System (GIS) and assessed for their ability to set such priorities in integrated landscape restoration. The techniques will help sustain ecological, physical and human systems in many other over-cleared regions.
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    Funded Activity

    Discovery Projects - Grant ID: DP0557062

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    DESIGNING LAND ADMINISTRATION SYSTEMS TO SUPPORT MODERN LAND MARKETS. Economies require successful land markets to generate wealth. Our land administration systems are expensive but essential infrastructure for land markets. However, since they were designed 150 years ago, the market has invented complex commodities: time shares, unit and property trusts, financial instruments, mortgage backed certificates, insurance products, options, corporate development instruments, vertical villages, and .... DESIGNING LAND ADMINISTRATION SYSTEMS TO SUPPORT MODERN LAND MARKETS. Economies require successful land markets to generate wealth. Our land administration systems are expensive but essential infrastructure for land markets. However, since they were designed 150 years ago, the market has invented complex commodities: time shares, unit and property trusts, financial instruments, mortgage backed certificates, insurance products, options, corporate development instruments, vertical villages, and more. The project will explain how modern land markets evolved and how land administration systems can be adapted to provide more efficient land trading and better support for trading in new complex commodities.
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    Showing 1-7 of 7 Funded Activites

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