Random Forest-Based Retrieval of XCO<sub>2</sub> Concentration from Satellite-Borne Shortwave Infrared Hyperspectral

Random Forest-Based Retrieval of XCO<sub>2</sub> Concentration from Satellite-Borne Shortwave Infrared Hyperspectral

As carbon dioxide (CO<sub>2</sub>) concentrations continue to rise, climate change, characterized by global warming, presents a significant challenge to global sustainable development. Currently, most global shortwave infrared CO<sub>2</sub> retrievals rely on fully physical...

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Bibliographic Details
Main Authors: Wenhao Zhang, Zhengyong Wang, Tong Li, Bo Li, Yao Li, Zhihua Han
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Atmosphere
Subjects:
carbon dioxide
machine learning
shortwave infrared
TCCON
Online Access:https://www.mdpi.com/2073-4433/16/3/238
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https://www.mdpi.com/2073-4433/16/3/238

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