XCO<sub>2</sub> Data Full-Coverage Mapping in China Based on Random Forest Models

XCO<sub>2</sub> Data Full-Coverage Mapping in China Based on Random Forest Models

Carbon dioxide (CO<sub>2</sub>) is a key driver of global climate change. Since the Industrial Revolution, the rapid rise in atmospheric CO<sub>2</sub> levels has significantly intensified global warming and climate-related issues. To accurately and promptly monitor changes i...

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Bibliographic Details
Main Authors: Ruizhi Chen, Zhongting Wang, Chunyan Zhou, Ruijie Zhang, Huizhen Xie, Huayou Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
carbon dioxide
random forest
atmospheric remote sensing
Chinese region
GF-5B
Online Access:https://www.mdpi.com/2072-4292/17/1/48
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