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

  • Maged MarghanyEmail author
  • Mohamed Hakami
Part of the Springer Oceanography book series (SPRINGEROCEAN)


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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Humanities, Geography SectionUniversity Sains Malaysia (USM)PenangMalaysia
  2. 2.Remote Sensing DepartmentSaudi Geological SurveyJeddahSaudi Arabia

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