Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales

Tan, Tianhong; Genova, Giulio; Heuvelink, Gerard B. M.; Lehmann, Johannes; Poggio, Laura; Woolf, Dominic; You, Fengqi

doi:10.1021/acs.est.4c01172

Environ. Sci. Technol.

2024

DOI: 10.1021/acs.est.4c01172

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Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales

Tianhong Tan,

Giulio Genova,

Gerard B. M. Heuvelink

et al.

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Importance of Terrain and Climate for Predicting Soil Organic Carbon Is Highly Variable across Local to Continental Scales

Cited by 2 publications

References 75 publications

Fine-resolution baseline maps of soil nutrients in farmland of Jiangxi Province using digital soil mapping and interpretable machine learning

Fine-resolution baseline maps of soil nutrients in farmland of Jiangxi Province using digital soil mapping and interpretable machine learning

Prediction of soil organic matter using Landsat 8 data and machine learning algorithms in typical karst cropland in China

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