摘要：One of the most important linear features on the earth's surface is coastline, thus the detection and monitoring of coastline is critical. The study of coastal system processes and coastal zone environmental management requires the information about coastlines and their changes. In this study, a methodology that extracts coastline efficiently by processing high-resolution orthophotos derived by UAV is presented. The photogrammetric UAV-based remote sensing approach reveals high-resolution digital surface models of coast. These models were derived from accurate and dense 3D point clouds, which are used for the 3D representation of the coast and can be used for calculating the erosion events of the study area. The methodology examines the capabilities of the integration of UAV data acquisition, GIS, remote sensing, and 3D visualization. Method applied in the Eressos beach, a very touristic sandy beach with large face, on Lesvos Island, Greece. Eressos beach is threatened by erosion which is clearly shown in the results. In addition, several features representing previous sea states were successfully determined in orthophoto map. The difference between the two acquisitions revealed specific areas with erosion and sand movement. Finally, the composition of 3D representation and the orthophoto map exposed vectors representing new beach characteristics e.g. erosion crests, berm zones and sand dunes. Vectors accuracy depends on the beach complexity. In conclusion, UAV's data reveal such information in spatial resolution which permits the study of coast changes with extreme confident. Applications include coast management, port installations and coastal energy projects.
关键词：UAV data acquisition;coastal management;aerial photo;Structure from Motion;image processing;3D visualization
