Titlebook: Digital Soil Morphometrics; Alfred E. Hartemink,Budiman Minasny Book 2016 Springer International Publishing Switzerland 2016 Soil profile

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Travis Finkenauer,J. Alex Haldermansitu digital morphometrics by which soil properties are measured along a soil profile wall at small depth increments. We explore the possibility of horizon boundary detection based on the changes in elemental concentrations. It was concluded that digital morphometrics enables soil scientists to meas

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Ziad Ismail,Jean Leneutre,Alia Fouratig the last 24,000?years. Background conductivity was about 200?μS/cm, while maxima for the soil and three paleosols were 560, 580, 630, and 590?μS/cm, respectively. It was concluded that field electrical conductivity measurements can be used to delineate paleosols.

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In Situ Analysis of Soil Mineral Composition Through Conjoint Use of Visible, Near-Infrared and X-Raerentiated by Vis–NIR spectra alone, i.e. kaolinite, illite and smectite. Predicted mineral composition compared favourably to existing mineralogical interpretation of horizon-based random powder and orientated clay samples analysed using laboratory X-ray diffraction. This fine-scale mapping of the

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Estimating Soil Texture from a Limited Region of the Visible/Near-Infrared Spectrum partial least-squares regression modeling. Calibration and validation datasets showed statistically similar mean and variance. The root-mean-square error of prediction for sand, silt, and clay content is 5.47, 5.18, and 5.39?g 100?g., respectively. The R. for validation is 0.30, 0.59, and 0.69 for

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