Rights statement: Accepted for publication in Earth Surface Processes and Landforms. Copyright 2019 American Geophysical Union. Further reproduction or electronic distribution is not permitted.
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Guidelines on the use of Structure from Motion Photogrammetry in Geomorphic Research
AU - James, Michael Richard
AU - Chandler, J.H.
AU - Eltner, A.
AU - Fraser, C.
AU - Miller, P.E.
AU - Mills, J.P.
AU - Noble, T.
AU - Robson, S.
AU - Lane, S.N.
N1 - Accepted for publication in Earth Surface Processes and Landforms. Copyright 2019 American Geophysical Union. Further reproduction or electronic distribution is not permitted.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - 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.
AB - 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.
KW - structure from motion
KW - topographic survey
KW - Systematic errors
KW - bias and precision
KW - survey design
U2 - 10.1002/esp.4637
DO - 10.1002/esp.4637
M3 - Journal article
VL - 44
SP - 2081
EP - 2084
JO - Earth Surface Processes and Landforms
JF - Earth Surface Processes and Landforms
SN - 0197-9337
IS - 10
ER -