36 citations as recorded by crossref.

1. How to map soil organic carbon stocks at field scale in South Africa? W. Cloete et al.
2. Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data D. Xu et al.
3. Spatio-temporal mapping reveals changes in soil organic carbon stocks across the contiguous United States since 1955 C. Yang et al.
4. What can artificial intelligence do for soil health in agriculture? S. Schweng et al.
5. Global distribution and predictors of the mineral-associated to total soil organic carbon ratio: an indicator of soil carbon stability J. Zhao et al.
6. Assessing the effect of pedotransfer functions on modeling of soil water dynamics R. Hessine et al.
7. Bulk density datasets using pedotransfer functions in the Qinghai-Tibetan Plateau J. Gu et al.
8. Machine Learning-Based Prediction of Soil Bulk Density Using Soil Penetration Resistance and Moisture X. Zeng et al.
9. National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images J. Xue et al.
10. Deep soil organic carbon: A review J. Dubeux, et al.
11. Latitudinal gradient and environmental drivers of soil organic carbon in permafrost regions of the Headwater Area of the Yellow River M. Yang et al.
12. A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data Z. Cui et al.
13. Pedotransfer functions for soil organic carbon stock and soil porosity interpretation in diverse palm oil plantation soils R. Tinuntun et al.
14. Soil porosity prediction across Europe with a focus on soil particle density determination D. Robinson et al.
15. Between two furrows: soil bulk density from non-invasive seismology M. Tsekhmistrenko et al.
16. A national soil organic carbon density dataset (2010–2024) in China Z. Chen et al.
17. Spatial distribution and drivers of soil organic carbon content in croplands of Morocco M. BAYAD et al.
18. Estimating Forest Carbon Stock Using Enhanced ResNet and Sentinel-2 Imagery J. Ren et al.
19. Modelling spatio-temporal dynamics of soil organic carbon in paddy soil by coupling digital soil mapping with a process model Z. Wang et al.
20. Adaptive neuro-fuzzy inference system for predicting sandy soils bulk density D. Lourençoni et al.
21. Hand-feel soil texture classes and particle-size distribution as predictors of soil water content at field capacity. Further insights into the sources of uncertainty A. Richer-de-Forges et al.
22. Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics B. Hejmanowska & P. Kramarczyk
23. Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables W. dos Santos et al.
24. Improving in-situ spectral estimation of wetland soil organic carbon by integrating multiple optimization strategies H. Li et al.
25. Assessing Carbon Pool Dynamics in Sedimentary Systems of Tibetan Plateau Urban Wetlands, China J. Kang et al.
26. Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan A. Suleymanov
27. Long-Term Land Use/Land Cover Change and Climate-Driven Projection of Soil Organic Carbon Stocks and Sequestration Using the RothC Model in the Northern Nile Delta, Egypt N. Bakr et al.
28. Integrating soil spectral libraries with laboratory hyperspectral imaging for profile organic carbon prediction in paddy soils S. Li et al.
29. Spatio-temporal modelling of soil organic carbon stock change in relation to land use changes in selected sub-catchments of Lesotho T. Masobeng et al.
30. Prediction of soil organic carbon fractions in tropical cropland using a regional visible and near-infrared spectral library and machine learning L. Dai et al.
31. Pedotransfer functions for Peruvian soils: A web tool for dry bulk density estimation C. Mestanza et al.
32. Ensemble modelling-based pedotransfer functions for predicting soil bulk density in China Z. Chen et al.
33. Including soil spatial neighbor information for digital soil mapping Z. Chen et al.
34. Geo-pedological controls on soil erosion vulnerability: A multi-parameter spatial analysis in diverse landscapes of Tamil Nadu, South India K. Manikanda Bharath et al.
35. Adjusting Bulk Density Observations in the Hungarian Soil Information and Monitoring System Using Pedotransfer Functions S. Sohrab et al.
36. Mapping Swiss soil bulk density at 30 m Resolution: Insights from Machine Learning, environmental Covariates, and national data S. Gupta et al.