Introduction to Ground Penetrating Radar Bryan S. Haley Introduction History • 1920s: rudimentary GPR, applications such as ice thickness • Air radar used in WWII for aircraft, Radio Detection and Ranging (RADAR) acronym • 1950s,60s: ice thickness, geological applications • 1972: NASA Apollo 17 on moon, carrying GPR • 1980s: engineering applications, concrete assessment, void detection, land mine detection History of GPR in Archaeology 1970s and 1980s • Chaco Canyon, Cyprus, Ceren, Japan • Analysis of raw profile data from plotters History of GPR in Archaeology 1990s and 2000s • Computers more powerful and affordable • Onboard storage • Time slice maps, 3D modeling, rendering, etc. How Does It Work? How Does It Work? Trace Profile Relative Dielectric Permittivity (RDP) RDP( ε ) = (c / V)2 c: speed of light in a vacuum (3 X 108 m/s) V: velocity of radar wave through the material • Ranges from 1 (air) to 81 (water). • Related primarily to water content of materials. • Higher ε values mean less radar penetration (more attenuation). • Strength of reflection is controlled by RDP contrast between the two materials. • A reflection can occur in dielectric contrasts as small as 1. Other Properties Conductivity (σ) • High σ inhibits radar penetration (more attenuation). • Increases with moisture content, and salinity. • So highly conductive soils (ie. clays) are not as ideal for GPR investigation as soils with low σ (such as dry sand). Magnetic Permeability (μ) • High μ inhibits radar penetration (more attenuation). • Most soils have relatively low μ. Conductivity and RDP for Common Materials Strength of Reflection Reflection Strength = √ε2 - √ε1 / √ε2 + √ε1 ε1: RDP of first material ε1: RDP of second material Strength of Reflection Reflection coefficient for 2 layer case. From GSSI SIR System-2000 Training Notes 1999. Anomaly Shape Simulations From GPRSIM 2D Forward Modeling Software Antennas • Identified by center frequency in MHz • Higher frequency = greater vertical resolution • Lower frequency = greater penetration depth • Typical penetration depths 100Mhz 4-25m 300Mhz 1-10m 400Mhz .5-4m 500Mhz .5-3.5m 900Mhz 0-1m Antennas Vertical Resolution Tm = c / (4f √ε) Tm: minimum thickness resolved. c: speed of light in a vacuum (3 X 108 m/s). f: center frequency of antenna. ε: RDP. Example: For 400 Mhz antenna and RDP of 10, the minimum thickness is about 6 cm. Antennas Horizontal Resolution A = λ / 4 + D / √ (ε + 1) • • • A = long dimension radius of footprint. λ = center frequency wavelength of antenna. D = depth. • ε = RDP. Example: For 400 Mhz antenna, a depth of 50 cm, and a RDP of 10, A is about 21 cm. Therefore the footprint is approximately 42 cm on the front to back axis and 28 cm on the side to side axis. Antennas Simplified antenna patterns. Setup: Gaining No Gain 5 Gain Points Other Setup Parameters • Samples per scan (512) • Scans per time (16 to 64 / sec) • Bit depth of data (8 bit or 16 bit) Determining Position User Marks • Marks inserted manually with trigger at fixed interval. Survey wheel • Calibrated so that distance is determine based on number of revolutions. GPS • Location determined by GPS and synched with GPR based on time. Field Notes • Must record file name, X value, and Y start and finish • Very important for GPR since software is flexible • Basic instrument settings Depth (Velocity) Estimation • • • • Estimate from RDP. Shoot to target of known depth. Hyperbola fitting (geometric scaling). Common Mid Point (CMP) testing. Hardware • GSSI – SIR 2000 – SIR 3000 • Sensors and Software – Noggin • Mala • Others Processing Steps • • • • • • • Radargram Processing Background removal Box car filter Band pass filter Migration Hilbert Transform Topographic Correction Antenna tilt correction Processing Steps • • • • Create Info File Contains file name, X value, and Y start and finish. Reverse Files Align zig-zagged lines. Set Navigation Specify survey wheel, user marks, GPS. Fix marks if there are errors. Processing Steps • • • • • Slice / Resample Set # of slices, thickness. Radargrams resampled to constant number per distance unit. Data collected from each radargram. Time slice values computed for each radargram are merged with the navigation. XYZ file created for each slice. 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.0625 0.3125 0.5625 0.8125 1.0625 1.3125 1.5625 1272 1541 1282 1772 1615 1387 1680 Processing Steps Gridding • Specify cell size, search radius. • Interpolate the XYZ files already created. 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.0625 0.3125 0.5625 0.8125 1.0625 1.3125 1.5625 1272 1541 1282 1772 1615 1387 1680 Time Slices • • • • Processing: low pass, high pass, etc. Set color scheme Set data range Set transforms 3D Data Cubes Isosurface Rendering Animations Support Software • Surfer • ArcView / ArcGIS Interpretation •Anomaly Shape / Size / Orientation •Strength / Amplitude •Context •Multiple Instrument Response •Data from other projects •Historic Documents •Aerial Photos •Lore •Etc. •Ground Truthing Results For More Reading… • Conyers and Goodman 1997 • Conyers 2004 • Heimmer and Devore 1995 • Bevan 1998 • Clark 1995 • Gaffney and Gater 2003 • Johnson 2006 Part II: Case Studies Bryan S. Haley Sapelo Island Shell Rings (Georgia) Sapelo Island Reconstruction Sapelo Island Early sketch map. Modern topo map. Sapelo Island Sapelo Island St. Michael’s Cemetery (Pensacola FL) St. Michael’s Cemetery St. Michael’s Cemetery St. Michael’s Cemetery St. Michael’s Cemetery Memorial Cemetery (St. Genevieve Missouri) Memorial Cemetery Memorial Cemetery Memorial Cemetery Belle Alliance (Louisiana) Belle Alliance Belle Alliance Belle Alliance Jackson Barracks (New Orleans) Jackson Barracks Possible Burial Jackson Barracks Possible Burials Jackson Barracks Interpretation Hollywood (NW Mississippi) 1923 Sketch Map of Mounds Hollywood Hollywood Excavated Structures Hollywood Cahal Pech (Belize) Cahal Pech Cahal Pech Cahal Pech