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Field of Research : Geomatic Engineering
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  • Funded Activity

    Linkage Projects - Grant ID: LP100100847

    Funder
    Australian Research Council
    Funding Amount
    $167,779.00
    Summary
    Full-Waveform Lidar Remote Sensing for Forest Inventory. Australia has the sixth largest forest area in the world, consisting of 164 million hectares covering 21% of the continent. The Australian government has invested in research for management of forests by construction of forest database and detection of forest change. The successful application of full-waveform lidar data for the extraction of plot statistics such as percentile tree counts, stem measurement, canopy cover and leaf area inde .... Full-Waveform Lidar Remote Sensing for Forest Inventory. Australia has the sixth largest forest area in the world, consisting of 164 million hectares covering 21% of the continent. The Australian government has invested in research for management of forests by construction of forest database and detection of forest change. The successful application of full-waveform lidar data for the extraction of plot statistics such as percentile tree counts, stem measurement, canopy cover and leaf area index, will contribute to forest resource management and analysis. Significantly, this research will be of benefit to Forests New South Wales as well as the many industries that require reliable forest resource data, such as land care, national defence, emergency services, and fire fighting authorities.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344678

    Funder
    Australian Research Council
    Funding Amount
    $140,000.00
    Summary
    Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two .... Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two forms of data by combining the processing into a single solution for elevation determination by data fusion. This approach will improve the quality and efficiency of elevation determination.
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