Soil spectroscopy has experienced a tremendous increase in soil property characterisation, and can be used not only in the laboratory but also from the space (imaging spectroscopy). Partial least squares (PLS) regression is one of the most common approaches for the calibration of soil properties using soil spectra. Besides functioning as a calibration method, PLS can also be used as a dimension...

Several factors may contribute to the structural failure of cast/ductile iron water mains, the most important of which is considered to be corrosion. The ANSI/AWWA C105/A21.5–99 10-point scoring (10-P) method is the most common method used to predict soil corrosivity potential, which is based on soil properties. For a given soil sample, each soil property is evaluated for its contribution towar...

Soil moisture is a key variable that controls the exchange of water and energy fluxes between the land surface and the atmosphere. However, the temporal evolution of soil moisture is neither easy to measure nor monitor at large scales because of its high spatial variability. This is mainly a result of the local variation in soil properties and vegetation cover. Thus, land surface models are nor...

There are numerous Cr(III)-contaminated sites on Department of Defense (DoD) and Department of Energy (DOE) lands that are awaiting possible clean up and closure. Ingestion of contaminated soil by children is the risk driver that generally motivates the likelihood of site remediation. The purpose of this study was to develop a simple statistical model based on common soil properties to estimate...

A review of recent developments related to soil hydraulic property estimation using remote sensing is presented. Several soil hydraulic parameter estimation techniques using proximal-, air-, or satellite-based remotely sensed soil moisture, land surface temperature, and/ or evapotranspiration time series have evolved over the past decades. In particular, microwave remote sensing of near-surface...

Different machine learning algorithms were assessed for estimating five functional soil parameters (SOC content, Calcium content, Phosphorous content, sand content, and pH value). The algorithms used include variants of linear regression and support vector regression. A closer look at the prediction performance for each target revealed that apart from pH, which consistently had worse performanc...

The Soil Series It is frequently possible to encounter, in a very limited area, almost the whole range of every soil property: from soil reaction values of pH 3.5 to pH 9.0, from structureless to very strongly structured, from sands to clays, from impermeable to excessively permeable materials etc. It has been one of the main objectives of the pedologist to classify this seemingly incomprehensi...