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Application of remote sensing video systems to coastline management problems
Institution:1. Institute of Geography, Faculty of Science, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark;2. School of Earth, Ocean and Environmental Sciences, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, United Kingdom;3. WL | Delft Hydraulics, Rotterdamseweg 185, 2629 HD Delft, The Netherlands;4. DISTART, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;5. Department of Earth Science, University of Ferrara, Via Saragat 1, 44100 Ferrara, Italy;6. Ocean & Coastal Research Group. Departamento de Ciencias y Técnicas del Agua y del Medio Ambiente, Universidad de Cantabria, 39005 Santander, Spain;7. Escuela de Geociencias y Medio Ambiente, Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia;8. College of Oceanic and Atmospheric Sciences, Oregon State University, 104 COAS Administration Building, Corvallis, OR 97331–5503, United States;9. National Institute for Marine and Coastal Management/RIKZ, Kortenaerkade 1, 2518 AX The Hague, The Netherlands
Abstract:This contribution evaluates the application of coastal video systems to monitoring and management of coastal stability problems on sandy coastlines. Specifically, video-derived parameters (coastal state indicators or CSIs) are developed which facilitate the measurement of the shoreline evolution (erosion/accretion) and response to storms, seasonal cycles and anthropogenic interventions like beach/shoreface nourishment and dredging. The primary variable which forms the basis for all the CSIs discussed in this contribution is the shoreline position derived from time-averaged video images. These waterlines are used to generate secondary products including shoreline contours at a constant pre-defined level, (intertidal) beach volumes, and momentary shoreline positions which reflect the sand volume in a meter wide section of the intertidal coast. Video-derived coastal state indicators were verified via comparisons with traditional topographical/bathymetric surveying techniques and a good agreement was found in all cases. CSIs were computed for three contrasting sandy coastal environments including an unprotected natural beach, a protected beach and a spit. Firstly, results are presented which demonstrate the advantages of coastal video systems over and above infrequent traditional topographic/bathymetric surveying methods. Namely, the ability of video-derived CSIs to quantify the magnitude, accurate location, precise timing and rates of change associated with individual extreme events and seasonal variability in the wave climate. Secondly, video-derived coastal state indicators were used to monitor two different types of human intervention, including beach nourishments and a dredged pit in a navigation channel. The video-derived datasets of coastal state indicators offered significant improvement to current CZM practices, facilitating better timing of management interventions as well as more effective monitoring of the spatial impact and longevity of these actions.
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