Abstract
We measured and mapped the spatial distribution of Al, Si, Fe, Mn, Ca, pH, soil moisture content (θ), and color of a soil profile wall of a Typic Udipsamments. A 10 × 10 cm grid was laid on the soil profile wall, and 70 soil samples were collected from the grid centers. The spatial distribution of these properties was mapped with block kriging. The kriged values of the elements and red color were used in k-means clustering to identify soil horizons. Variation in the profile was considerable, but we observed that Fe, Mn, Ca, pH, and θ decreased with soil depth, while red color increased. The concentration of Al and Si increased at depth between 30 and 60 cm from the soil surface. The k-means clustering was able to locate three soil horizons in the profile, which was comparable to the standard soil profile description. We found that pXRF and soil color index coupled with clustering could be useful in digital soil morphometrics for the identification of soil horizons.
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Adhikari, K., Hartemink, A.E., Minasny, B. (2016). Mapping a Profile Wall of a Typic Udipsamments from the Central Sands in Wisconsin, USA. In: Hartemink, A., Minasny, B. (eds) Digital Soil Morphometrics. Progress in Soil Science. Springer, Cham. https://doi.org/10.1007/978-3-319-28295-4_12
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