Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a-Reference-Cited by-同舟云学术

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Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a

Published:2023-07 Issue: Volume:192 Page:115089
ISSN:0025-326X
Container-title:Marine Pollution Bulletin
language:en
Short-container-title:Marine Pollution Bulletin

Author:

Niu Jie,Feng Ziyang,He Mingxia,Xie Mengyu,Lv Yanqun,Zhang Juan,Sun Liwei,Liu Qi,Hu Bill X.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pollution,Aquatic Science,Oceanography

Reference78 articles.

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2. Chlorophyll to carbon ratio derived from a global ecosystem model with photodamage;Álvarez;Glob. Biogeochem. Cycles,2018

3. The changing carbon cycle of the coastal ocean;Bauer;Nature,2013

4. Biospheric primary production during an enso transition;Behrenfeld;Science,2001

5. Algorithm as 91: the percentage points of the x2 distribution;Best;J. R. Stat. Soc. Ser. C Appl. Stat.,1975

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2. Research on the Inversion of Chlorophyll-a Concentration in the Hong Kong Coastal Area Based on Convolutional Neural Networks;Journal of Marine Science and Engineering;2024-07-03

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