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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Principais autores:	Yihao Huang, Jiayi Pan, Adam T. Devlin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-04-01
coleção:	Remote Sensing
Assuntos:	machine learning algorithm Chromophoric Dissolved Organic Matter (CDOM) Landsat-8 OLI Pearl River estuary
Acesso em linha:	https://www.mdpi.com/2072-4292/15/8/1963
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