The Smart Weapons Test Range (SWTR) lies within the Yuma Proving Ground (YPG), Arizona. SWTR is a new facility constructed specifically for the development and testing of futuristic intelligent battlefield sensor networks. In this paper, results are presented for an extensive high-resolution geophysical characterization study at the SWTR site along with validation using 3-D modeling. In this study, several shallow seismic methods and novel processing techniques were used to generate a 3-D grid of earth seismic properties, including compressional (P) and shear (S) body-wave speeds (V p and V s ), and their associated body-wave attenuation parameters (Q p , and Q s ). These experiments covered a volume of earth measuring 1500 m by 300 m by 25 m deep (11 million cubic meters), centered on the vehicle test track at the SWTR site. The study has resulted in detailed characterizations of key geophysical properties. To our knowledge, results of this kind have not been previously achieved, nor have the innovative methods developed for this effort been reported elsewhere. In addition to supporting materiel developers with important geophysical information at this test range, the data from this study will be used to validate sophisticated 3-D seismic signature models for moving vehicles.Each of the four material-property volumes (V p , V s , Q p , and Q s ) was constructed by interpolating 2-D seismic measurements made along survey lines optimized for the physical properties at the SWTR site. The geostatistical properties of the data guided the interpolation of data points between survey lines and established confidence limits around each interpolated value. Ground truth was accomplished through cross-hole seismic measurements and borehole logs. Surface wave and refraction acquisition methods were used to acquire most raw data for this study. In addition to standard reflection and refraction data analysis procedures, we also applied turning ray tomography and surface wave analysis. A variety of seismic energy sources (including vibroseis, accelerated weight drop, and high frequency impulses from projectile and explosive shots) and recording array configurations were considered for optimizing the quality of each analysis.Inversion of the specific portions of the seismic wavefield was key to the success of the characterization effort. Tomographic inversion produced P-wave velocity matrices with the greatest resolution and finest sampling without the necessity for assumptions about layer properties. Standard refraction analysis was used to confirm the tomographically defined P-wave velocities and to map prominent layers. Inversion of surface-wave dispersion curves from multichannel data resulted in optimal estimates of the S-wave velocity field. Prior to this study, no numerically rigorous methods had been documented for estimating Q for near-surface materials. Geophysical properties at the site appear to be anisotropic, reflecting local trends in near-surface geology. For example, spatial continuity in V s can be env...