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

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, foc...

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Bibliographic Details
Main Authors: Bonyad Ahmadi, Mehdi Gholamalifard, Seyed Mahmoud Ghasempouri, Tiit Kutser
Format: Article
Language:English
Published: Elsevier 2025-11-01
Series:Ecological Informatics
Subjects:
Remote sensing
Sentinel-2
CTD
Machine learning
Pars special economic energy zone (PSEEZ)
Persian gulf
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001803
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