Introduction and History Electromagnetic Wave Propagation
Velocity Wavelength Attenuation Dispersion
Rocks, Soils and Fluids: Electrical Properties Magnetic Properties
Environmental Influences Heterogeneity, Anisotropy and Scale Radar Equation
Scattering Polarization Fresnel Reflection Snell Angle Stokes-Mueller Matrices Poincare Sphere
Antennas Coupling Near / Far Fields Waveguides Multipathing Resonance
Survey Design Contrast Geometry Resolution Depth of Investigation Orientation
Data Processing
![[Under Construction]](images/undercon.gif){kind=small}
Sometimes the problem posed can be solved by a ground penetrating radar survey just be looking at the raw data (such as locating the horizontal position of a pipe). Other times, the data have artifacts associated with logistical constraints, antenna or system characteristics, or other problems that need to be removed. The data may have radiofrequency interference noise, geometric scattering clutter noise, or other patterns that need to be filtered in frequency, time or space. The data may have distortions such as logistically constrained position information that needs to be corrected and remapped, or the two-wave travel-time needs to be converted through a velocity model into depth (turning a pseudo-section into a geometric cross-section). The data may have a subtle contrast that needs to be enhanced or simply a feature that needs to be extracted to more clearly show the solution to the problem. In each of these cases, data processing becomes necessary. At a minimum, some data processing are required in order to turn the radar data recordings of electric field as a function of space and time into accurate, calibrated locations.
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(illustrations)
Modeling Interpretation Uncertainty
Applications: Noninvasive Surface Borehole Airborne Satellite and Space