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Pine needles as bioindicator and biomagnetic indicator of selected metals in the street dust, a case study from southeastern Iran
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10.1016/j.chemosphere.2024.141281 |
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A two-step soil modeling approach by integrating pedological classification in digital mapping with non-stationary geostatistics
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10.1080/15324982.2024.2317399 |
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Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
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10.1007/s11629-023-8056-z |
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پراكندگي پاليگورسكيت و مهم ترين كانيهاي رسي همراه در رسوب هاي دوران سنوزوئيك استان بوشهر
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Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
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10.1016/j.geodrs.2023.e00724 |
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Digital exploration of selected heavy metals using Random Forest and a set of environmental covariates at the watershed scale
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10.1016/j.jhazmat.2023.131609 |
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Rapid magnetic susceptibility measurement as a tracer to assess the erosion-deposition process using tillage homogenization and simple proportional models: A case study in northern of Morocco
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10.1016/j.ijsrc.2023.06.002 |
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Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms
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Variation of heavy metals, magnetic susceptibility, and some chemical properties in the Lichen-rock interface on various parent rocks in west of Iran
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Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran
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Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis
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Magnetic susceptibility as a proxy for detection of total petroleum hydrocarbons in contaminated wetlands
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Improvement of spatial prediction of soil depth via earth observation
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Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment
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Impacts of Clay Content and Type on Shear Strength and Splash Erosion of Clay-Sand Mixtures
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Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data
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Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran
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The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication
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