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9 September 2020 3D high-resolution mapping and identification of coastal landforms using unmanned aerial vehicles, case study: Shabla Municipality coastal sector, Bulgaria
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Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 115242D (2020) https://doi.org/10.1117/12.2571059
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus
Abstract
Nowadays, the acquisition of very high resolution (VHR) imagery guarantees an excellent quality of coastal topographic surveys and monitoring. Alongside the rapid progress of remote sensing, digital photogrammetry and image processing of data obtained by unmanned aerial vehicles (UAVs) provides outstanding opportunities for VHR mapping of the coastal zone, including the coverage of difficult-to-access areas. Till the previous two years, the Bulgarian coast was “intact” for this modern technology and was regularly surveyed to detect and analyze the ongoing shoreline dynamics and trends of morphological changes. Both spatial planning and integrated coastal zone management, however, require highly accurate and up-to-date geodata, being among the main reasons for the wide application of drones worldwide in shoreline surveying, along with the low cost of the related mapping campaigns. This work aims to demonstrate the capabilities of UAV-based coastal landform mapping at Shabla Municipality case study site, Bulgaria. The above coastal segment was surveyed from a flight altitude of 200 m and at 5.8 cm ground sampling distance (GSD). In addition, erosion-prone areas were photographed from 50 m altitude and at 1.5 cm GSD. A digital surface model with a resolution of 20 cm for the whole coast of the Shabla Municipality was created. A finer one, with 6 cm cell size was derived after Structure for Motion data processing (SfM) for the area of Krapets Village together with the contiguous sector between Cape Shabla and Shablenska Tuzla Lagoon. A set of ground control points (GCPs) was used for georeferencing purposes. The shore was divided into erosional, erosional-depositional, and depositional segments, along with accompanying geomorphological classification of the identified landforms.
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Bogdan K. Prodanov, Iliyan S. Kotsev, Todor H. Lambev, and Lyubomir I. Dimitrov "3D high-resolution mapping and identification of coastal landforms using unmanned aerial vehicles, case study: Shabla Municipality coastal sector, Bulgaria", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115242D (9 September 2020); https://doi.org/10.1117/12.2571059
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