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2019 | OriginalPaper | Buchkapitel

6. Automatic Detection of Coral Reef Induced Turbulent Boundary Flow in the Red Sea from Flock-1 Satellite Data

verfasst von : Maged Marghany, Mohamed Hakami

Erschienen in: Oceanographic and Biological Aspects of the Red Sea

Verlag: Springer International Publishing

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Abstract

The novelty of this study is the use of a multi-objective evolutionary algorithm for the automatic detection of hydrodynamic turbulent boundaries overlying coral reefs. The procedure is implemented using sequences of Flock-1 satellite data acquired in the Red Sea. The study demonstrates that implementing Pareto-optimal solutions allows for the generation of accurate coral reef-water interface patterns. This is validated by a Pareto-optimal front and the receiver-operating characteristic (ROC) curve. The Pareto-optimal front indicates a significant relationship between hydrodynamic turbulent boundaries, macroalgae, and coral reefs. The ROC curves confirm the finding of the Pareto-optimal front that hydrodynamic turbulent boundary layers and macroalgae are caused by coral reefs. The performance accuracy is identified with an under-curve area of 90%. In conclusion, the multi-objective evolutionary algorithm has the applicability for the automatic detection of hydrodynamic turbulent boundary layers to coral reef studies.

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Titel: Automatic Detection of Coral Reef Induced Turbulent Boundary Flow in the Red Sea from Flock-1 Satellite Data
verfasst von: Maged Marghany
Mohamed Hakami
Verlag: Springer International Publishing
Buch: Oceanographic and Biological Aspects of the Red Sea
Print ISBN: 978-3-319-99416-1

Electronic ISBN: 978-3-319-99417-8

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-99417-8_6