A Physically Derived Water Content/Permittivity Calibration Model for Coarse-Textured, Layered Soils

By David A. Robinson, S. Jones, J. M. Blonquist, Shmulik P. Friedman. 2005

72 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/026c760a2cd7cc5dded9a6a3509bf7f7f9695d39

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Toshihiro Sakaki
2. Tissa H. Illangasekare
3. Kathleen M. Smits
4. A. Limsuwat

In Ocean Engineering

1. Toshihiro Sakaki
2. Tissa H. Illangasekare
3. Kathleen M. Smits
4. A. Limsuwat

Citations in the corpus

• Empirical two‐point α‐mixing model for calibrating the ECH2O EC‐5 soil moisture sensor in sands (2008, methodology): “The advantage of this model (with a typical value of a = 0.5) is that no fitting parameter is involved and two extreme values Ksat and Kdry can be easily measured [ Robinson et al., 2005 ] or derived from a two-phase grain-scale mixing model [e.g., Sihvola and Kong, 1988].”