Comparative assessment of machine learning algorithms for retrieving colored dissolved organic matter (CDOM) from Sentinel-2/MSI images in the coastal waters of the Persian Gulf

Colored Dissolved Organic Matter, a pivotal component of aquatic biogeochemical cycles, plays a critical role in regulating water quality and ecosystem functionality. This study provides the first comprehensive assessment of CDOM dynamics in the Persian Gulf's industrialized coastal waters, focusing...

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Principais autores:	Bonyad Ahmadi, Mehdi Gholamalifard, Seyed Mahmoud Ghasempouri, Tiit Kutser
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-11-01
Colecção:	Ecological Informatics
Assuntos:	Remote sensing Sentinel-2 CTD Machine learning Pars special economic energy zone (PSEEZ) Persian gulf
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1574954125001803
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