A soil organic carbon mapping method based on transfer learning without the use of exogenous data

A soil organic carbon mapping method based on transfer learning without the use of exogenous data

Accurate and cost-effective mapping of soil organic carbon (SOC) is critical for understanding carbon dynamics and informing sustainable land management. Although deep learning-based methods have demonstrated strong potential in digital soil mapping, they typically require large amounts of data. How...

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Bibliographic Details
Main Authors: Jingfeng Han, Mujie Wu, Yanlong Qi, Xiaoning Li, Xiao Chen, Jing Wang, Jinlong Zhu, Qingliang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Environmental Science
Subjects:
transfer learning
soil organic carbon
digital soil mapping
deep learning
soil depth correlation
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1580085/full
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