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Efficient Dike Monitoring Using Terrestrial SFM Photogrammetry

Abstract : Nature based solutions are growing rapidly in order to mitigate in the near future the effects of climate change and rise of sea level on most anthropogenic coasts. In that frame, the CHERbourg bLOC (CHERLOC) project aims to study new coastal engineering solutions (overtopping, sediment transport) thanks to two new artificial units in two test sites (Normandy, France) considering biodiversity preservation but also societal acceptability. This study details an efficient method to monitor such coastal infrastructure using terrestrial Structure from Motion (SfM). In 2021, surveys were conducted to acquire pictures in April, May, June and November. A time series of 3D photogrammetric models was generated using open source SfM software. The first model was georeferenced using Ground Control Points (GCP) measured by Differential Global Navigation Satellite System (DGNSS) so that it could be used as a reference for the following point clouds using surrounding ripraps assumed to be non-mobile through the period of the study. The georeferencing Root Mean Square Error (RMSE) was found to be 1.8 cm for the April model whereas RMSEs of relative registrations of the following dates were found to be sub-centimetric. These results can be used to observe and measure blocks displacements as well as sand volumes evolution throughout the time series. The biggest displacement was found to be 23 cm between April and June. Sand topographic variation shows a continuous accumulation on selected cross-sections between April and November with an overall height accumulation of about 30 cm. Sand volumes measurements show consistent results with an added volume of 3.67 m3 on the previous areas.
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https://hal-insu.archives-ouvertes.fr/insu-03686141
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Submitted on : Thursday, June 2, 2022 - 3:29:45 PM
Last modification on : Friday, June 3, 2022 - 3:45:45 AM

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L. Froideval, C. Conessa, X. Pellerin Le Bas, L. Benoit, D. Mouazé. Efficient Dike Monitoring Using Terrestrial SFM Photogrammetry. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, 52, pp.359-366. ⟨10.5194/isprs-annals-V-2-2022-359-2022⟩. ⟨insu-03686141⟩

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