Retrieval of Chlorophyll-a Concentrations in the Coastal Waters of the Beibu Gulf in Guangxi Using a Gradient-Boosting Decision Tree Model

Retrieval of Chlorophyll-a Concentrations in the Coastal Waters of the Beibu Gulf in Guangxi Using a Gradient-Boosting Decision Tree Model

Remote sensing for the monitoring of chlorophyll-a (Chl-a) is essential to compensate for the shortcomings of traditional water quality monitoring, strengthen red tide disaster monitoring and early warnings, and reduce marine environmental risks. In this study, a machine learning approach called the...

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Bibliographic Details
Main Authors: Huanmei Yao, Yi Huang, Yiming Wei, Weiping Zhong, Ke Wen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
chlorophyll-a
gbdt model
Guangxi Beibu Gulf
remote sensing inversion
Online Access:https://www.mdpi.com/2076-3417/11/17/7855

Internet

https://www.mdpi.com/2076-3417/11/17/7855

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