2018
DOI: 10.1080/21664250.2018.1436239
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Nearshore bathymetry estimation using UAV

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Cited by 35 publications
(18 citation statements)
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“…Therefore, it is not possible to isolate the accuracy of the calibration from that of the bathymetry. However, the RMSE and bias are generally lower than those of other studies (e.g., [30][31][32]) (with RMSE in the range of 0.25 to 0.50 m and biases from 0.2 to 0.3 m).…”
Section: Discussioncontrasting
confidence: 67%
See 1 more Smart Citation
“…Therefore, it is not possible to isolate the accuracy of the calibration from that of the bathymetry. However, the RMSE and bias are generally lower than those of other studies (e.g., [30][31][32]) (with RMSE in the range of 0.25 to 0.50 m and biases from 0.2 to 0.3 m).…”
Section: Discussioncontrasting
confidence: 67%
“…The recent improvement and cost reduction of small Unmanned Aerial Vehicles (UAVs) allows to use the tools developed for video monitoring stations in places where measurements are required and no video station is available, either because there is not a high vantage point or because only a single survey is needed. Recent works have already explored the use of videos recorded with UAVs to obtain bathymetry [30][31][32].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, robust depth estimation methods through wave celerity inversion have been developed for shore-based video systems and drones [92,100,102,103], optimizing the information gathered in space and time (generally 10-20 min). At present, there are some pioneering works on video from space to recover coastal bathymetry [104][105][106] that clearly show the potential to derive waves from a sequence of images.…”
Section: Video From Space: a Showcase With Pleiades Persistent Modementioning
confidence: 99%
“…The installation of shore-based video stations to monitor the nearshore is increasingly used due to their possibilities and low cost. Combining these video techniques with the use of Unmanned Aerial Vehicle (UAV) has also greatly enlarged the scope of application of these methods (e.g Turner and Harley, 2016;Matsuba et al 2018)…”
mentioning
confidence: 99%