Remote sensing-driven machine learning models for spatiotemporal analysis of coastal phytoplankton blooms under climate change scenarios

Remote sensing-driven machine learning models for spatiotemporal analysis of coastal phytoplankton blooms under climate change scenarios

Coastal phytoplankton blooms pose significant environmental challenges, yet spatiotemporal analyses of bloom dynamics under ocean warming and eutrophication remain limited. To address this, we developed machine learning-based regression and classification models for predicting bloom areas and warnin...

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Bibliographic Details
Main Authors: Siqi Wang, Shuzhe Huang, Yinguo Qiu, Xiang Zhang, Chao Wang, Nengcheng Chen
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
Subjects:
Phytoplankton blooms
Coastal sea
Climate change
Eutrophication
Machine learning
Water management
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017225000306
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