Guidelines on the use of structure-from-motion photogrammetry in geomorphic research |
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| Authors: | Mike R James Jim H Chandler Anette Eltner Clive Fraser Pauline E Miller Jon P Mills Tom Noble Stuart Robson Stuart N Lane |
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| Institution: | 1. Lancaster Environment Centre, Lancaster University, Lancaster, UK;2. School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK;3. Institute of Photogrammetry and Remote Sensing, TU Dresden, Dresden, Germany;4. Department of Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia;5. The James Hutton Institute, Craigiebuckler, Aberdeen, UK;6. School of Engineering, Cassie Building, Newcastle University, Newcastle upon Tyne, UK;7. TN Photogrammetry LLC, Denver, CO, USA;8. Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK;9. Institute of Earth Surface Dynamics, University of Lausanne, Géopolis, Lausanne, Switzerland |
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| Abstract: | As a topographic modelling technique, structure-from-motion (SfM) photogrammetry combines the utility of digital photogrammetry with a flexibility and ease of use derived from multi-view computer vision methods. In conjunction with the rapidly increasing availability of imagery, particularly from unmanned aerial vehicles, SfM photogrammetry represents a powerful tool for geomorphological research. However, to fully realize this potential, its application must be carefully underpinned by photogrammetric considerations, surveys should be reported in sufficient detail to be repeatable (if practical) and results appropriately assessed to understand fully the potential errors involved. To deliver these goals, robust survey and reporting must be supported through (i) using appropriate survey design, (ii) applying suitable statistics to identify systematic error (bias) and to estimate precision within results, and (iii) propagating uncertainty estimates into the final data products. © 2019 John Wiley & Sons, Ltd. |
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| Keywords: | structure-from-motion photogrammetry topographic survey survey design systematic error bias and precision |
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