65 citations as recorded by crossref.

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28. Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic E. Duarte et al. 10.1080/22797254.2022.2045226
29. A High-resolution Soil Organic Carbon Map for Great Britain S. Mahmood et al. 10.1080/27658511.2024.2415166
30. 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
31. 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
32. Comparison of global and zonal modeling strategies - A case study of soil organic matter and C:N ratio mapping in Altay, Xinjiang, China H. Liang et al. 10.1016/j.ecoinf.2024.102882
33. 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
34. IRAKA: The first Colombian soil information system with digital soil mapping products G. Araujo-Carrillo et al. 10.1016/j.catena.2020.104940
35. Downscaling satellite soil moisture using geomorphometry and machine learning M. Guevara et al. 10.1371/journal.pone.0219639
36. 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
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38. The impact of drought on soil moisture trends across Brazilian biomes F. Lopes Ribeiro et al. 10.5194/nhess-21-879-2021
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41. Spatial biases of information influence global estimates of soil respiration: How can we improve global predictions? E. Stell et al. 10.1111/gcb.15666
42. 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
43. 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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45. Soil Organic Carbon Across Mexico and the Conterminous United States (1991–2010) M. Guevara et al. 10.1029/2019GB006219
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49. Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary G. Szatmári et al. 10.1016/j.geoderma.2024.117067
50. 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
51. 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
52. Comparing the prediction performance, uncertainty quantification and extrapolation potential of regression kriging and random forest while accounting for soil measurement errors B. Takoutsing & G. Heuvelink 10.1016/j.geoderma.2022.116192
53. Leveraging the application of Earth observation data for mapping cropland soils in Brazil J. Safanelli et al. 10.1016/j.geoderma.2021.115042
54. A note on knowledge discovery and machine learning in digital soil mapping A. Wadoux et al. 10.1111/ejss.12909
55. 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
56. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. 10.1038/s41598-023-34247-z
57. Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression R. Llamas et al. 10.3390/rs12040665
58. Soft Computing Techniques for Appraisal of Potentially Toxic Elements from Jalandhar (Punjab), India V. Kumar et al. 10.3390/app11188362
59. 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
60. 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
61. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019) N. Batjes et al. 10.5194/essd-12-299-2020
62. First soil organic carbon report of Paraguay A. Encina-Rojas et al. 10.1016/j.geodrs.2023.e00611
63. Clay content mapping and uncertainty estimation using weighted model averaging D. Zhao et al. 10.1016/j.catena.2021.105791
64. 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
65. Baseline of Carbon Stocks in Pinus radiata and Eucalyptus spp. Plantations of Chile G. Olmedo et al. 10.3390/f11101063