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To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition\udwith high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser\udScanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a\udcoastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan\udsoftware and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared\udto GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and\uddistribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that\udthis solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the\udDSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19\udGCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic.\udLast, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the\udaccuracy when the spatial resolution of images is decreased

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

ACCURACY ASSESSMENT OF COASTAL TOPOGRAPHY DERIVED FROM UAV IMAGES