Artificial Intelligence Oceanography
Contributor(s)
Li, Xiaofeng (editor)
Wang, Fan (editor)
Language
EnglishAbstract
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.
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 shipDOI
10.1007/978-981-19-6375-9ISBN
9789811963759, 9789811963759Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Singapore, 2023Imprint
Springer Nature SingaporeClassification
Oceanography (seas and oceans)
Earth sciences
Information technology: general topics
Geography
Artificial intelligence
Sustainability