Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets

Although remote sensing using machine learning techniques can effectively monitor harmful algal blooms, their application is often limited by data availability. The synergetic impacts of rapid urbanization and climate change contribute to the unprecedented occurrence of severe algal blooms, which re...

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Bibliographic Details

Published in:	GIScience & Remote Sensing
Main Authors:	Jinmyeong Lee, Do Hyuck Kwon, Heewon Jeong, Gibeom Nam, Euiho Hwang, Jin Hwi Kim, Kyung Hwa Cho, Hyo Gyeom Kim
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Subjects:	Cyanobacteria remote sensing machine learning explainable AI Sentinel-2
Online Access:	https://www.tandfonline.com/doi/10.1080/15481603.2025.2496551