Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation

Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation

Assessing sea surface nitrate (SSN) concentrations and dynamics is crucial for understanding marine ecosystem health, yet optical remote sensing of SSN remains challenging because of the lack of distinct spectral features. While various global-scale SSN regression and machine learning algorithms bas...

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Bibliographic Details
Main Authors: Aifen Zhong, Difeng Wang, Fang Gong, Jingjing Huang, Zhuoqi Zheng, Xianqiang He, Qing Zhang, Qiankun Zhu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Sea surface nitrate
Remote sensing
Empirical regression
Explainable machine learning
Global ocean
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225004479
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