Artificial Intelligence Oceanography

doi:10.1007/978-981-19-6375-9

Download Url(s)

https://library.oapen.org/bitstream/20.500.12657/61327/1/978-981-19-6375-9.pdf
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https://library.oapen.org/bitstream/20.500.12657/61327/1/978-981-19-6375-9.pdf
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https://library.oapen.org/bitstream/20.500.12657/61327/1/978-981-19-6375-9.pdf

Contributor(s)

Li, Xiaofeng (editor)

Wang, Fan (editor)

Language

English

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Abstract

This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.

URI

https://directory.doabooks.org/handle/20.500.12854/97808

Keywords

Deep learning; Sea surface temperature; Hurricane study; Coastal inundation mapping; Sea surface height; Wind study; Mesoscale eddy study; Ocean internal wave; Sea ice; Detection of ship; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBK Hydrology and the hydrosphere::RBKC Oceanography (seas and oceans); thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability