Hasil Pencarian - S. W. D. Grieve

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  1. 1
    Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest

    Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest oleh W. R. M. Flynn, H. J. F. Owen, S. W. D. Grieve, S. W. D. Grieve, E. R. Lines

    Diterbitkan 2023-07-01
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  2. 2
    A nondimensional framework for exploring the relief structure of landscapes

    A nondimensional framework for exploring the relief structure of landscapes oleh S. W. D. Grieve, S. M. Mudd, M. D. Hurst, D. T. Milodowski

    Diterbitkan 2016-04-01
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  3. 3
    How does grid-resolution modulate the topographic expression of geomorphic processes?

    How does grid-resolution modulate the topographic expression of geomorphic processes? oleh S. W. D. Grieve, S. M. Mudd, D. T. Milodowski, F. J. Clubb, D. J. Furbish

    Diterbitkan 2016-08-01
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  4. 4
    The CAIRN method: automated, reproducible calculation of catchment-averaged denudation rates from cosmogenic nuclide concentrations

    The CAIRN method: automated, reproducible calculation of catchment-averaged denudation rates from cosmogenic nuclide concentrations oleh S. M. Mudd, M.-A. Harel, M. D. Hurst, S. W. D. Grieve, S. M. Marrero

    Diterbitkan 2016-08-01
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  5. 5
    Tree species classification from complex laser scanning data in Mediterranean forests using deep learning

    Tree species classification from complex laser scanning data in Mediterranean forests using deep learning oleh Matthew J. Allen, Stuart W. D. Grieve, Harry J. F. Owen, Emily R. Lines

    Diterbitkan 2023-07-01
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  6. 6
    Low-cost tree crown dieback estimation using deep learning-based segmentation

    Low-cost tree crown dieback estimation using deep learning-based segmentation oleh Matthew J. Allen, Daniel Moreno-Fernández, Paloma Ruiz-Benito, Stuart W.D. Grieve, Emily R. Lines

    Diterbitkan 2024-01-01
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  7. 7
    UAV‐derived greenness and within‐crown spatial patterning can detect ash dieback in individual trees

    UAV‐derived greenness and within‐crown spatial patterning can detect ash dieback in individual trees oleh W. R. M. Flynn, S. W. D. Grieve, A. J. Henshaw, H. J. F. Owen, R. J. A. Buggs, C. L. Metheringham, W. J. Plumb, J. J. Stocks, E. R. Lines

    Diterbitkan 2024-04-01
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