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| Long, N.; Millescamps, B.; Pouget, F.; Dumon, A.; Lachaussee, N.; Bertin, X.. |
| To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of... |
| Tipo: Text |
Palavras-chave: Digital Surface Model; Coastal monitoring; UAV photogrammetry; Accuracy. |
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00668/78011/80248.pdf |
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| Jaud, Marion; Passot, Sophie; Le Bivic, Rejanne; Delacourt, Christophe; Grandjean, Philippe; Le Dantec, Nicolas. |
| For monitoring purposes and in the context of geomorphological research, Unmanned Aerial Vehicles (UAV) appear to be a promising solution to provide multi-temporal Digital Surface Models (DSMs) and orthophotographs. There are a variety of photogrammetric software tools available for UAV-based data. The objective of this study is to investigate the level of accuracy that can be achieved using two of these software tools: Agisoft PhotoScan((R)) Pro and an open-source alternative, IGN((c)) MicMac((R)), in sub-optimal survey conditions (rugged terrain, with a large variety of morphological features covering a range of roughness sizes, poor GPS reception). A set of UAV images has been taken by a hexacopter drone above the Riviere des Remparts, a river on... |
| Tipo: Text |
Palavras-chave: Image processing; SfM photogrammetry software; Digital Surface Model; UAV; Orthophoto; Accuracy assessment. |
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00639/75081/75581.pdf |
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