Spatiotemporal prediction of soil organic carbon density in Europe (2000–2022) using earth observation and machine learning
This article describes a comprehensive framework for soil organic carbon density (SOCD, kg/m3) modeling and mapping, based on spatiotemporal random forest (RF) and quantile regression forests (QRF). A total of 45,616 SOCD observations and various Earth observation (EO) feature layers were used to pr...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-07-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/19605.pdf |
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