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Provedor de dados:  ArchiMer
País:  France
Título:  Potential of Smartphone SfM Photogrammetry to Measure Coastal Morphodynamics
Autores:  Jaud, Marion
Kervot, Matthieu
Delacourt, Christophe
Bertin, Stephane
Data:  2019-10
Ano:  2019
Palavras-chave:  Smartphone
SfM photogrammetry
Coastal monitoring
DEM
Citizen observatory
Resumo:  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 (R), Lumia 930 (R) and iPhone 8 (R)) 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.
Tipo:  Text
Idioma:  Inglês
Identificador:  https://archimer.ifremer.fr/doc/00637/74907/76115.pdf

DOI:10.3390/rs11192242

https://archimer.ifremer.fr/doc/00637/74907/
Editor:  Mdpi
Formato:  application/pdf
Fonte:  Remote Sensing (Mdpi), 2019-10 , Vol. 11 , N. 19 , P. 2242 (17p.)
Direitos:  info:eu-repo/semantics/openAccess

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