Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning

Jing Liu, Richard G. J. Bellerby, Qing Zhu, Jianzhong Ge

Open source

DOI: 10.1029/2023ea003230
Published: 11
Container: Earth and Space Science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1029/2023ea003230,
  title = {Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning},
  author = {Jing Liu and Richard G. J. Bellerby and Qing Zhu and Jianzhong Ge},
  year = {2023},
  journal = {Earth and Space Science},
  doi = {10.1029/2023ea003230},
  url = {https://doi.org/10.1029/2023ea003230}
}

RIS

TY  - JOUR
TI  - Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning
AU  - Jing Liu
AU  - Richard G. J. Bellerby
AU  - Qing Zhu
AU  - Jianzhong Ge
PY  - 2023
JO  - Earth and Space Science
DO  - 10.1029/2023ea003230
UR  - https://doi.org/10.1029/2023ea003230
ER  -

APA

Liu, J., Bellerby, R. G. J., Zhu, Q., & Ge, J. (2023). Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning. Earth and Space Science. https://doi.org/10.1029/2023ea003230

Source records

doaj · retrieved 2026-09-27T03:06:16.246Z