Spatial Mapping of Soil CO<sub>2</sub> Flux in the Yellow River Delta Farmland of China Using Multi-Source Optical Remote Sensing Data

The spatial prediction of soil CO<sub>2</sub> flux is of great significance for assessing regional climate change and high-quality agricultural development. Using a single satellite to predict soil CO<sub>2</sub> flux is limited by climatic conditions and land cover, resultin...

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Bibliographic Details
Published in:Agriculture
Main Authors: Wenqing Yu, Shuo Chen, Weihao Yang, Yingqiang Song, Miao Lu
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Subjects:
remote sensing
soil CO<sub>2</sub> flux
machine learning
farmland
Online Access:https://www.mdpi.com/2077-0472/14/9/1453

Internet

https://www.mdpi.com/2077-0472/14/9/1453

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