38 citations as recorded by crossref.

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4. Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks L. Lombardo et al. 10.1016/j.geoderma.2017.12.011
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7. No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America M. Guevara et al. 10.5194/soil-4-173-2018
8. Robust soil mapping at the farm scale with vis–NIR spectroscopy L. Ramirez‐Lopez et al. 10.1111/ejss.12752
9. Deconvolving the Fate of Carbon in Coastal Sediments T. Van der Voort et al. 10.1029/2018GL077009
10. Evidence for Soil Phosphorus Resource Partitioning in a Diverse Tropical Tree Community R. Müller et al. 10.3390/f15020361
11. Validation of uncertainty predictions in digital soil mapping J. Schmidinger & G. Heuvelink 10.1016/j.geoderma.2023.116585
12. Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images T. Zhou et al. 10.1016/j.scitotenv.2020.142661
13. Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland A. Baltensweiler et al. 10.1016/j.geodrs.2021.e00437
14. Environmental and hydrologic controls on sediment and organic carbon export from a subalpine catchment: insights from a time series M. Schwab et al. 10.5194/bg-19-5591-2022
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16. Regional Soil Mapping Using Multi-Grade Representative Sampling and a Fuzzy Membership-Based Mapping Approach L. YANG et al. 10.1016/S1002-0160(17)60322-9
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19. Radiocarbon signatures of carbon phases exported by Swiss rivers in the Anthropocene T. Rhyner et al. 10.1098/rsta.2022.0326
20. Digital mapping of topsoil organic carbon content in an alluvial plain area of the Terai region of Nepal S. Lamichhane et al. 10.1016/j.catena.2021.105299
21. Predictors for digital mapping of forest soil organic carbon stocks in different types of landscape L. Borůvka et al. 10.17221/4/2022-SWR
22. Dynamics of deep soil carbon – insights from <sup>14</sup>C time series across a climatic gradient T. van der Voort et al. 10.5194/bg-16-3233-2019
23. Integration of field sampling and LiDAR data in forest inventories: comparison of area-based approach and (lognormal) universal kriging I. Aulló-Maestro et al. 10.1007/s13595-021-01056-1
24. Snow instability patterns at the scale of a small basin B. Reuter et al. 10.1002/2015JF003700
25. A concept to optimize the accuracy of soil surface area and SOC stock quantification in mountainous landscapes J. Prietzel & M. Wiesmeier 10.1016/j.geoderma.2019.113922
26. Digital soil mapping of soil organic carbon stocks in Western Ghats, South India S. Dharumarajan et al. 10.1016/j.geodrs.2021.e00387
27. Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH M. Nussbaum et al. 10.1016/j.geoderma.2023.116579
28. Mapping Soil Texture Using Geostatistical Interpolation Combined With Electromagnetic Induction Measurements A. García-Tomillo et al. 10.1097/SS.0000000000000213
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31. Soil organic carbon stocks did not change after 130 years of afforestation on a former Swiss Alpine pasture T. Speckert et al. 10.5194/soil-9-609-2023
32. Terrestrial laser scanning improves digital elevation models and topsoil pH modelling in regions with complex topography and dense vegetation A. Baltensweiler et al. 10.1016/j.envsoft.2017.05.009
33. Three-Dimensional Mapping of Forest Soil Carbon Stocks Using SCORPAN Modelling and Relative Depth Gradients in the North-Eastern Lowlands of Germany A. Russ et al. 10.3390/app11020714
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37. Mapping of soil properties at high resolution in Switzerland using boosted geoadditive models M. Nussbaum et al. 10.5194/soil-3-191-2017
38. Effects of soil spatial variability at the hillslope and catchment scales on characteristics of rainfall‐induced landslides L. Fan et al. 10.1002/2015WR017758