63 citations as recorded by crossref.

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23. Hand-feel soil texture observations to evaluate the accuracy of digital soil maps for local prediction of soil particle size distribution: A case study in Central France A. RICHER-de-FORGES et al. 10.1016/j.pedsph.2022.07.009
24. National-scale mapping of soil organic carbon stock in France: New insights and lessons learned by direct and indirect approaches Z. Chen et al. 10.1016/j.seh.2023.100049
25. Development of a harmonised soil profile analytical database for Europe: a resource for supporting regional soil management J. Kristensen et al. 10.5194/soil-5-289-2019
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27. Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic E. Duarte et al. 10.1080/22797254.2022.2045226
28. A High-resolution Soil Organic Carbon Map for Great Britain S. Mahmood et al. 10.1080/27658511.2024.2415166
29. Predicting soil organic carbon with different approaches and spatial resolutions for the southern Iberian Peninsula, Spain P. Durante et al. 10.1016/j.geodrs.2024.e00780
30. 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
31. Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques N. Sathiparan et al. 10.1007/s42107-023-00790-3
32. IRAKA: The first Colombian soil information system with digital soil mapping products G. Araujo-Carrillo et al. 10.1016/j.catena.2020.104940
33. Downscaling satellite soil moisture using geomorphometry and machine learning M. Guevara et al. 10.1371/journal.pone.0219639
34. Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy O. Adeniyi et al. 10.3390/land12020494
35. Assessing the effects of agricultural management practices and land-use changes on soil organic carbon stocks Q. Zhuang et al. 10.1016/j.still.2023.105716
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37. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty L. Poggio et al. 10.5194/soil-7-217-2021
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40. Enhancing Soil Mapping with Hyperspectral Subsurface Images generated from soil lab Vis-SWIR spectra tested in southern Brazil Y. Gelsleichter et al. 10.1016/j.geodrs.2023.e00641
41. Upscaling Soil Organic Carbon Measurements at the Continental Scale Using Multivariate Clustering Analysis and Machine Learning Z. Wang et al. 10.1029/2023JG007702
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43. Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010) M. Guevara et al. 10.1029/2019GB006219
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48. Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking D. Zhao et al. 10.1016/j.compag.2021.105990
49. Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023) N. Batjes et al. 10.5194/essd-16-4735-2024
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51. Leveraging the application of Earth observation data for mapping cropland soils in Brazil J. Safanelli et al. 10.1016/j.geoderma.2021.115042
52. A note on knowledge discovery and machine learning in digital soil mapping A. Wadoux et al. 10.1111/ejss.12909
53. A spatial machine learning model developed from noisy data requires multiscale performance evaluation: Predicting depth to bedrock in the Delaware river basin, USA P. Goodling et al. 10.1016/j.envsoft.2024.106124
54. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. 10.1038/s41598-023-34247-z
55. Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression R. Llamas et al. 10.3390/rs12040665
56. Soft Computing Techniques for Appraisal of Potentially Toxic Elements from Jalandhar (Punjab), India V. Kumar et al. 10.3390/app11188362
57. A simple pipeline for the assessment of legacy soil datasets: An example and test with soil organic carbon from a highly variable area C. Schillaci et al. 10.1016/j.catena.2018.12.015
58. Large scale mapping of soil organic carbon concentration with 3D machine learning and satellite observations C. Sothe et al. 10.1016/j.geoderma.2021.115402
59. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019) N. Batjes et al. 10.5194/essd-12-299-2020
60. First soil organic carbon report of Paraguay A. Encina-Rojas et al. 10.1016/j.geodrs.2023.e00611
61. Clay content mapping and uncertainty estimation using weighted model averaging D. Zhao et al. 10.1016/j.catena.2021.105791
62. Spatial Distribution of Carbon Stocks Along Protected and Non-protected Coastal Wetland Ecosystems in the Gulf of Mexico C. Troche-Souza et al. 10.1007/s10021-024-00918-9
63. Baseline of Carbon Stocks in Pinus radiata and Eucalyptus spp. Plantations of Chile G. Olmedo et al. 10.3390/f11101063