Spatiotemporal estimation of near-surface CO2 concentrations over the global continent based on hybrid machine learning model

Spatiotemporal estimation of near-surface CO2 concentrations over the global continent based on hybrid machine learning model

Understanding the global distribution of CO2 concentrations is crucial for studying the sources and sinks of CO2. Therefore, it is necessary to conduct spatiotemporal estimation of CO2 over the global continent. This study proposed a hybrid machine learning model consisting of mix attention (MA) mod...

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Bibliographic Details
Main Authors: Xinfeng Huang, Hui Yang, Senwei Qiao, Yuejing Yao, Liu Cui, Huaiwei Fan, Qingzhou Lv, Yina Qiao, Gefei Feng
Format: Article
Language:English
Published: Taylor & Francis Group 2025-04-01
Series:Annals of GIS
Subjects:
CO2
multi-source data fusion
machine learning
remote sensing
Online Access:https://www.tandfonline.com/doi/10.1080/19475683.2025.2481067
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https://www.tandfonline.com/doi/10.1080/19475683.2025.2481067

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