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Lookup NU author(s): Dr Pauline Miller,
Professor Jon Mills
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© 2019 John Wiley & Sons, Ltd.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.
Author(s): James MR, Chandler JH, Eltner A, Fraser C, Miller PE, Mills JP, Noble T, Robson S, Lane SN
Publication type: Note
Publication status: Published
Journal: Earth Surface Processes and Landforms
Pages: Epub ahead of print
Online publication date: 17/04/2019
Acceptance date: 08/04/2019
ISSN (print): 0197-9337
ISSN (electronic): 1096-9837
Publisher: John Wiley and Sons Ltd