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Open AccessTechnical Note

Potential of Smartphone SfM Photogrammetry to Measure Coastal Morphodynamics

1
CNRS, Univ Brest, European Institute for Marine Studies IUEM—UMS 3113, F-29280 Plouzané, France
2
Univ Brest, Laboratoire Géosciences Océans—UMR 6538, F-29280 Plouzané, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2242; https://doi.org/10.3390/rs11192242
Received: 9 August 2019 / Revised: 24 September 2019 / Accepted: 24 September 2019 / Published: 26 September 2019
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
With recent advances in photogrammetric processing methods and sensor technologies, smartphones represent a new opportunity of mainstream, low-cost sensor, with a great potential for Structure-from-Motion (SfM) photogrammetry, and in particular for participatory science programs or citizen observatories. Keeping in mind the application in citizen observatories, three smartphone models (Galaxy S7®, Lumia 930® and iPhone 8®) and a bridge camera were compared (separately and in combination) for coastal applications: A coastal cliff and a sandy beach. Various acquisition protocols, at different distances from a cliff face and using “linear” or “fan-shaped” capture mode, were also assessed in their efficiency. A simultaneous Terrestrial Laser Scanner (TLS) survey provided a reference dataset to assess the quality of the SfM reconstructions. Satisfactory reconstructions (mean error < 5 cm) of the cliff face were obtained using all smartphone models tested. To measure the cliff face, fan-shaped capturing mode allowed a quicker image acquisition on site and better results (mean error of 1.3 cm with a standard deviation of 0.1 cm at 20 m from the cliff face) than linear capturing mode (mean error of 2.5 cm with a standard deviation of 21.8 cm), provided that the distance to the cliff face is sufficient to ensure a good image overlap. To obtain satisfactory results over beaches, we show that it is preferable to have high-angle shots of the study area, which may limit the applicability of the method for certain sites. View Full-Text
Keywords: Smartphone; SfM photogrammetry; coastal monitoring; DEM; citizen observatory Smartphone; SfM photogrammetry; coastal monitoring; DEM; citizen observatory
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MDPI and ACS Style

Jaud, M.; Kervot, M.; Delacourt, C.; Bertin, S. Potential of Smartphone SfM Photogrammetry to Measure Coastal Morphodynamics. Remote Sens. 2019, 11, 2242.

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