AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems.

Zhang F, Kung H, Zhang F, Yang C, Gan J

DOI: 10.1038/s41467-025-62901-9
Published: 2025 Aug 18
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-025-62901-9,
  title = {AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems.},
  author = {Zhang F and Kung H and Zhang F and Yang C and Gan J},
  year = {2025},
  journal = {Nature communications},
  doi = {10.1038/s41467-025-62901-9},
  url = {https://doi.org/10.1038/s41467-025-62901-9}
}

RIS

TY  - JOUR
TI  - AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems.
AU  - Zhang F
AU  - Kung H
AU  - Zhang F
AU  - Yang C
AU  - Gan J
PY  - 2025
JO  - Nature communications
DO  - 10.1038/s41467-025-62901-9
UR  - https://doi.org/10.1038/s41467-025-62901-9
ER  -

APA

F, Z., H, K., F, Z., C, Y., & J, G. (2025). AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems.. Nature communications. https://doi.org/10.1038/s41467-025-62901-9

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pubmed · retrieved 2026-09-25T20:49:14.986Z