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I helped execute soil property tests and water infiltration tests.
Soil property prediction models were built using the classical partial least square regression (PLSR) method, which links the VNIR/SWIR laboratory spectra and the physico-chemical soil property.
The most influential soil property was the depth of the impeding layer.
Prior to the creation of the maps, semivariograms were produced for each soil property.
Using simulated annealing, we produced hypothetical soil property surfaces for the conterminous United States.
Minimum void ratio or maximum packing density is an important soil property in geotechnical engineering.
Many of the related papers focused on the optimization of sampling for only one soil property.
The localization paradox is relevant for any variable soil property requiring repeated sampling.
As such it overcomes the trade-off between accuracy and interpretability of soil property predictions.
Soil property development through time is most inconsistent in cumulic alluvial fan soils.
A challenge of assessing soil health in this way is the interpretation of measured values for each soil property.
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