Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches

Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches

Global warming is making extreme wave events more intense and frequent. Hence, the importance of monitoring the sea state for marine risk assessment and mitigation is increasing day-by-day. In this work, we exploit the ubiquitous seismic noise generated by energy transfer from the ocean to the solid...

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Bibliographic Details
Main Authors: Andrea Cannata, Flavio Cannavò, Salvatore Moschella, Giuseppe Di Grazia, Gabriele Nardone, Arianna Orasi, Marco Picone, Maurizio Ferla, Stefano Gresta
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
microseism
significant wave height
machine learning
correlation coefficient
Online Access:https://www.mdpi.com/2072-4292/12/5/761

Internet

https://www.mdpi.com/2072-4292/12/5/761

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