What question did this study set out to answer?

This research aims to evaluate how different temporal composites from Sentinel-2 satellite affect soil organic carbon (SOC) mapping accuracy in cropland areas.

May 11, 2026Environmental Technology & InnovationOpen Access

Optimizing Sentinel-2 temporal composites for soil organic carbon mapping and cropland management insights

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Authors

XJXiande JiUniversity of Groningen RPR. Venkatesha PrasadDelft University of Technology BLBinyuan LiuUniversity of Groningen

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Implication

Randomized trial reveals that Sentinel-2 composites enhance soil organic carbon prediction in croplands, suggesting management strategies for sustainability.

Key Points

This research aims to evaluate how different temporal composites from Sentinel-2 satellite affect soil organic carbon (SOC) mapping accuracy in cropland areas.
Compared four temporal Sentinel-2 spectral composites for SOC mapping.
Utilized LUCAS 2015 and 2018 observations from Italy's Po Plain.
Trained three machine learning models (Random Forest, XGBoost, CatBoost) and used SHAP for variable interpretation.
Composites focused on bare soil periods provided the highest SOC mapping accuracy.
CatBoost model achieved the best performance with a high-resolution SOC map for the Po Plain.
Bare soil frequency showed a negative correlation with SOC, indicating that less exposure can enhance SOC.

Cite This Study

Ji et al. (2026) studied this question.

synapsesocial.com/papers/6a0171983a9f334c28271b50 https://doi.org/10.1016/j.eti.2026.104971

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Implication

Randomized trial reveals that Sentinel-2 composites enhance soil organic carbon prediction in croplands, suggesting management strategies for sustainability.

Optimizing Sentinel-2 temporal composites for soil organic carbon mapping and cropland management insights

Discussion

Member takes

Implication

Key Points

Cite This Study

Optimizing Sentinel-2 temporal composites for soil organic carbon mapping and cropland management insights

Discussion

Member takes

Implication

Key Points

Cite This Study

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