164 citations as recorded by crossref.

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19. Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran M. Emadi et al. 10.3390/rs12142234
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25. Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison X. Zhu et al. 10.3390/su12052099
26. High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra J. Wagner et al. 10.1016/j.geoderma.2023.116652
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34. The Influence of the Quality of Digital Elevation Data on the Modelling of Terrain Vehicle Movement M. Rybansky & J. Rada 10.3390/app12126178
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36. Digital mapping of potentially toxic elements enrichment in soils of Urmia Lake due to water level decline Z. Alvyar et al. 10.1016/j.scitotenv.2021.152086
37. 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
38. Estimation of soil properties from the EU spectral library using long short-term memory networks S. Singh & S. Kasana 10.1016/j.geodrs.2019.e00233
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44. Recognition of the Bare Soil Using Deep Machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data D. Rukhovich et al. 10.3390/rs14092224
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53. A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty L. Bao et al. 10.1016/j.cageo.2023.105409
54. Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions S. Mousavi et al. 10.1016/j.catena.2023.107392
55. Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
56. Self-supervised learning of Vision Transformers for digital soil mapping using visual data P. Tresson et al. 10.1016/j.geoderma.2024.117056
57. A spatial assessment of mercury content in the European Union topsoil C. Ballabio et al. 10.1016/j.scitotenv.2020.144755
58. Improved Feature Selection Method for the Identification of Soil Images Using Oscillating Spider Monkey Optimization R. Agarwal et al. 10.1109/ACCESS.2021.3135536
59. Variability of soil mapping accuracy with sample sizes, modelling methods and landform types in a regional case study X. Sun et al. 10.1016/j.catena.2022.106217
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62. Review on Crop Prediction Using Deep Learning Techniques M. Dharani et al. 10.1088/1742-6596/1767/1/012026
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65. Geotechnologies on the phosphorus stocks determination in tropical soils: General impacts on society J. Rosas et al. 10.1016/j.scitotenv.2024.173537
66. Simultaneously mapping the 3D distributions of multiple heavy metals in an industrial site using deep learning and multisource auxiliary data Y. Peng et al. 10.1016/j.jhazmat.2024.136000
67. Spatiotemporal modelling of soil organic matter changes in Jiangsu, China between 1980 and 2006 using INLA-SPDE X. Sun et al. 10.1016/j.geoderma.2020.114808
68. Uncovering the effects of Urmia Lake desiccation on soil chemical ripening using advanced mapping techniques F. Shahbazi et al. 10.1016/j.catena.2023.107440
69. Mapping soil profile depth, bulk density and carbon stock in Scotland using remote sensing and spatial covariates M. Aitkenhead & M. Coull 10.1111/ejss.12916
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73. Oil Palm (Elaeis guineensis) Mapping with Details: Smallholder versus Industrial Plantations and their Extent in Riau, Sumatra A. Descals et al. 10.3390/rs11212590
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77. Modeling and digital mapping of shallow water table depth using satellite-based spectral and thermal data: Introducing a framework for digital shallow water table mapping M. Jeihouni et al. 10.1016/j.still.2024.106317
78. Large-Scale Soil Organic Carbon Estimation via a Multisource Data Fusion Approach E. Kalopesa et al. 10.3390/rs17050771
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81. Spatial prediction of ground substrate thickness in shallow mountain area based on machine learning model X. Zhu et al. 10.3389/feart.2024.1455124
82. Geochemical and mineralogical composition of the 2018 volcanic deposits of Mt. Anak Krakatau D. Fiantis et al. 10.1016/j.geodrs.2021.e00393
83. Optimizing soil texture spatial prediction in the Brazilian Cerrado: Insights from random forest and spectral data M. Pelegrino et al. 10.1016/j.geodrs.2025.e00922
84. Assessing the improvement potentials of climate model partitioning and time-variant feature extraction for soil organic carbon prediction Y. Bao et al. 10.1016/j.catena.2024.108014
85. A Comparison between Sentinel-2 and Landsat 8 OLI Satellite Images for Soil Salinity Distribution Mapping Using a Deep Learning Convolutional Neural Network M. Kazemi Garajeh et al. 10.1080/07038992.2022.2056435
86. Accurate Quantification of 0–30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning P. Fu et al. 10.3390/rs16122217
87. An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran M. Garajeh et al. 10.1016/j.scitotenv.2021.146253
88. Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape J. Lian et al. 10.3390/rs14122829
89. Assessment of different digital soil mapping methods for prediction of soil classes in the Shahrekord plain, Central Iran I. Esfandiarpour-Boroujeni et al. 10.1016/j.catena.2020.104648
90. Digital mapping of soil chemical properties with limited data in the Thung Kula Ronghai region, Thailand S. Srisomkiew et al. 10.1016/j.geoderma.2021.114942
91. Semantic Segmentation of Portuguese Agri-Forestry Using High-Resolution Orthophotos T. Morais et al. 10.3390/agronomy13112741
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124. High-Resolution Mapping of Paddy Rice Extent and Growth Stages across Peninsular Malaysia Using a Fusion of Sentinel-1 and 2 Time Series Data in Google Earth Engine . Fatchurrachman et al. 10.3390/rs14081875
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