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August 7, 2025Open Access

Modeling soil organic carbon changes using signal-to-noise analysis: a case study using European soil survey datasets

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Authors

XTXuemeng TianNational University of Defense TechnologySBSytze de BruinWageningen University & ResearchFSFlorian SchneiderJohann Heinrich von Thünen-Institut

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Implication

Using a signal-to-noise ratio framework, this research assesses soil organic carbon change reliability in European soils, indicating need for routine reporting.

Key Points

  • The study develops a signal-to-noise ratio framework for assessing soil organic carbon change detection reliability.
  • Application of the framework on the LUCAS soil survey indicates a weak correlation to observation-based error for SOC predictions.
  • Spatial aggregation significantly enhances the signal-to-noise ratio, improving the assessment of SOC changes.
  • Routine SNR reporting can boost DSM-based soil organic carbon monitoring credibility as datasets improve over time.

Cite This Study

Tian et al. (2025) studied this question.

synapsesocial.com/papers/689dfe9fd61984b91e13c348https://doi.org/10.21203/rs.3.rs-7308469/v1
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