Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning

Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning

IntroductionSoil respiration (SR), the release of carbon dioxide (CO2) from soil due to the decomposition of organic matter and root respiration, is an important indicator for understanding agricultural carbon cycling and assessing anthropogenic impacts on the environment. Hyperspectral remote sensi...

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Bibliographic Details
Main Authors: Fanchao Zeng, Jinwei Sun, Huihui Zhang, Lizhen Yang, Xiaoxue Zhao, Jing Zhao, Xiaodong Bo, Yuxin Cao, Fuqi Yao, Fenghui Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Environmental Science
Subjects:
machine learning
soil respiration
maize
soil temperature
hyperspectral image
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1505987/full
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https://www.frontiersin.org/articles/10.3389/fenvs.2024.1505987/full

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