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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Hlavní autoři:	Yihao Huang, Jiayi Pan, Adam T. Devlin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-04-01
Edice:	Remote Sensing
Témata:	machine learning algorithm Chromophoric Dissolved Organic Matter (CDOM) Landsat-8 OLI Pearl River estuary
On-line přístup:	https://www.mdpi.com/2072-4292/15/8/1963
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