Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method

Accurately estimating the ocean’s interior structures using sea surface data is of vital importance for understanding the complexities of dynamic ocean processes. In this study, we proposed an advanced machine-learning method, the Light Gradient Boosting Machine (LightGBM)-based Deep Forest (LGB-DF)...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Lin Dong, Jifeng Qi, Baoshu Yin, Hai Zhi, Delei Li, Shuguo Yang, Wenwu Wang, Hong Cai, Bowen Xie
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	machine learning ocean subsurface salinity structure South China Sea satellite remote sensing data
Online Access:	https://www.mdpi.com/2072-4292/14/14/3494