Automated machine learning integrating multi-source satellite observations to predict gross and net CO2 fluxes of coastal wetlands in China

Automated machine learning integrating multi-source satellite observations to predict gross and net CO2 fluxes of coastal wetlands in China

Coastal wetlands are increasingly vital carbon sinks, helping mitigate atmospheric CO _2 and slow global warming. However, we have limited knowledge about the carbon sink capacity of coastal wetlands, whereby developing advanced skills for predicting CO _2 fluxes of coastal wetlands is critical. Her...

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Bibliographic Details
Main Authors: Nguyen Ngoc Tu, Haishen Lü, Wei He, Peipei Xu, Mengyao Zhao, Shuai Liu, Yonghua Zhu, Xinhui Lei
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Letters
Subjects:
carbon fluxes
coastal wetlands
automated machine learning (AutoML)
eddy covariance measurements
multi-source remote sensing
Online Access:https://doi.org/10.1088/1748-9326/ade731
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https://doi.org/10.1088/1748-9326/ade731

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