High-resolution spatio-temporal monitoring of coastal hypoxia using machine learning models and GOCI–MODIS satellite data
- DOI
- 10.1016/j.marpolbul.2025.118871
- Published
- 2026-01
- Container
- Marine Pollution Bulletin
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.marpolbul.2025.118871,
title = {High-resolution spatio-temporal monitoring of coastal hypoxia using machine learning models and GOCI–MODIS satellite data},
author = {Seongsik Park and Taeyoon Lee and Kyunghoi Kim},
year = {2026},
journal = {Marine Pollution Bulletin},
doi = {10.1016/j.marpolbul.2025.118871},
url = {https://doi.org/10.1016/j.marpolbul.2025.118871}
}RIS
TY - JOUR TI - High-resolution spatio-temporal monitoring of coastal hypoxia using machine learning models and GOCI–MODIS satellite data AU - Seongsik Park AU - Taeyoon Lee AU - Kyunghoi Kim PY - 2026 JO - Marine Pollution Bulletin DO - 10.1016/j.marpolbul.2025.118871 UR - https://doi.org/10.1016/j.marpolbul.2025.118871 ER -
APA
Park, S., Lee, T., & Kim, K. (2026). High-resolution spatio-temporal monitoring of coastal hypoxia using machine learning models and GOCI–MODIS satellite data. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2025.118871
Source records
- crossref · retrieved 2026-09-26T01:50:16.821Z