Enhanced Estimate of Chromophoric Dissolved Organic Matter Using Machine Learning Algorithms from Landsat-8 OLI Data in the Pearl River Estuary

Chromophoric Dissolved Organic Matter (CDOM) plays a critical role in the carbon and biogeochemical cycles within aquatic ecosystems. Satellite imagery can be employed to determine aquatic CDOM concentrations, highlighting the need for effective and precise algorithms for this task. In this study, a...

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發表在:	Remote Sensing
Main Authors:	Yihao Huang, Jiayi Pan, Adam T. Devlin
格式:	Article
語言:	英语
出版:	MDPI AG 2023-04-01
主題:	machine learning algorithm Chromophoric Dissolved Organic Matter (CDOM) Landsat-8 OLI Pearl River estuary
在線閱讀:	https://www.mdpi.com/2072-4292/15/8/1963