posted on 2019-06-06, 12:38authored byMike R. James, Jim Chandler, Anette Eltner, Clive Fraser, Pauline E. Miller, Jon P. Mills, Tom Noble, T. Stuart Robson, Stuart N. Lane
a topographic modelling technique, structure-from-motion (SfM) photogrammetry combines the utility of digitalphotogrammetry with a flexibility and ease of use derived from multi-view computer vision methods. In conjunction with the rapidlyincreasing availability of imagery, particularly from unmanned aerial vehicles, SfM photogrammetry represents a powerful tool forgeomorphological research. However, to fully realize this potential, its application must be carefully underpinned by photogrammet-ric considerations, surveys should be reported in sufficient detail to be repeatable (if practical) and results appropriately assessed tounderstand fully the potential errors involved. To deliver these goals, robust survey and reporting must be supported through (i) usingappropriate 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
History
School
Architecture, Building and Civil Engineering
Published in
Earth Surface Processes and Landforms
Volume
44
Issue
10
Pages
2081-2084
Citation
JAMES, M.R. ... et al., 2019. Guidelines on the use of structure‐from‐motion photogrammetry in geomorphic research. Earth Surface Processes and Landforms, 44 (10), pp.2081-2084.
This is the peer reviewed version of the following article: JAMES, M.R. ... et al., 2019. Guidelines on the use of structure‐from‐motion photogrammetry in geomorphic research. Earth Surface Processes and Landforms, 44 (10), pp.2081-2084, which has been published in final form at https://doi.org/10.1002/esp.4637. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.