Using Multispectral Imagery to Detect Nearshore Bars and Elucidate Beach-Dune System Dynamics

Authors: Mayra Roman Rivera*, University of South Carolina, Jean T Ellis, University of South Carolina
Topics: Coastal and Marine, Geomorphology
Keywords: Remote Sensing, Coastal Management, Nearshore Bars
Session Type: Paper
Day: 4/6/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Stones Throw 1 - Granite, Marriott, Lobby Level
Presentation File: No File Uploaded

Nearshore bars naturally protect the coast against erosion by dissipating wave energy. They are significant reservoirs of sand, and thus, they may impact the response of beaches to different wave conditions. Nearshore bar position and morphologic variability also influences long- and short-term beach and dune stability A new identification algorithm for bar identification was developed integrating multispectral imagery. Nearshore bar research will benefit from the larger spatial scale provided by satellite sensors. The algorithm will be tested at three locations: Duck, NC, Bay St. Lois, MS, and Cassino Beach, RS, BRA. The algorithm developed by this research will provide coastal community and scientists with a novel and lower cost method to identify coastal features and assess changes in them through time. The results garnered from the algorithm could improve the ability of coastal managers and scientists to monitor and manage coastlines. This study also aims to study the interactions of nearshore dynamics and the beach-dune system by investigating the coastal system holistically instead of each feature (dunes, beach, and bars) as separate entities. Knowing how the dunes, the beach and the bars dynamics are related and how each component affects the response of the other during storm conditions will also significantly improve the way that we manage, protect, and develop our coastlines. It is important to recognize that because of their geographic location the coastal system will be influenced by variables particular to those locations. Therefore, responses will be unique to the geographic location.

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