Effects of soil physical properties on GPR for landmine detection

-Field experience has shown that soil conditions can have large effects on Ground Penetrating Radar (GPR) detection of landmines. We discuss available models for the prediction of the dielectric constant from soil physical properties including bulk density, soil texture, and water content. The soil dielectric constant determines the attenuation of the radar signal. The contrast between the dielectric constant of the soil and the landmine is critical in determining the strength of the reflection from the landmine. Field data show considerable spatial variability in soil water content over length scales from centimeters to kilometers. Even under the assumption that other soil properties are homogeneous, the spatial variability of soil water content can lead to large variations in the predicted dielectric constant and resulting GPR response.

[1]  Anh H. Trang.  Simulation of mine detection over dry soil, snow, ice, and water , 1996, Defense, Security, and Sensing.

[2]  A. Klute.  Methods of soil analysis. Part 1. Physical and mineralogical methods. , 1988 .

[3]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Fawwaz T. Ulaby,et al.  Dielectric properties of soils in the 0.3-1.3-GHz range , 1995, IEEE Trans. Geosci. Remote. Sens..

[5]  A. Peck.  Field Variability of Soil Physical Properties , 1983 .

[6]  C. Ritsema,et al.  Occurrence of soil water repellency in arid and humid climates , 2000 .

[7]  J. M. H. Hendrickx,et al.  Determination of hydraulic soil properties. , 1990 .

[8]  Coen J. Ritsema,et al.  How water moves in a water repellent sandy soil: 2. Dynamics of fingered flow , 1994 .

[9]  Peter Howard,et al.  Performance results of the EG&G vehicle-mounted mine detector , 1999, Defense, Security, and Sensing.

[10]  M. C. Mastin,et al.  Recharge from precipitation in three small glacial-till-mantled catchments in the Puget Sound Lowland, Washington , 1997 .

[11]  T. Schmugge,et al.  An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Jan M. H. Hendrickx,et al.  Modeling distributions of water and dielectric constants around land mines in homogeneous soils , 1999, Defense, Security, and Sensing.

[13]  D. R. Nielsen,et al.  Spatial variability of field-measured soil-water properties , 1973 .

[14]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[15]  Jan M. H. Hendrickx,et al.  Unstable Wetting Fronts in Water-Repellent Field Soils , 1993 .

[16]  A. P. Annan,et al.  Electromagnetic determination of soil water content: Measurements in coaxial transmission lines , 1980 .

[17]  Allan J. Delaney,et al.  Dielectric properties of soils at UHF and microwave frequencies , 1974 .

[18]  B. Scheers,et al.  TIME DOMAIN MODELLING OF UWB GPR AND ITS APPLICATION ON LANDMINE DETECTION , 2000 .

[19]  Jan M. H. Hendrickx,et al.  Variability of soil water tension and soil water content , 1990 .

[20]  Steven A. Arcone,et al.  Environmental effects on detection of buried mines and UXO , 1998, Defense, Security, and Sensing.

[21]  Karsten P. Ulland,et al.  Vii. References , 2022 .

[22]  D. Wobschall,et al.  A Theory of the Complex Dielectric Permittivity of Soil Containing Water: The Semidisperse Model , 1977, IEEE Transactions on Geoscience Electronics.

[23]  Steven A. Arcone,et al.  Radar detection of simulant mines buried in frozen ground , 1999, Defense, Security, and Sensing.

[24]  Louis W. Dekker,et al.  Moisture variability resulting from water repellency in Dutch soils , 1998 .

[25]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part 1: Empirical Models and Experimental Observations , 1985, IEEE Transactions on Geoscience and Remote Sensing.