Abstract Weaponry can be conveniently and safely concealed in enemy underground bedrock facilities (UGF). The bedrock environment surrounding UGF offers a high degree of protection for the assets contained within. Physical characteristics of the surrounding bedrock constrain the effects of conventional and even nuclear weapons. Brittle structures in the bedrock such as fracture systems have anisotropic characteristics and present a formidable obstacle to the survival of penetrating weapons. Knowledge of the three-dimensional (3-D) characteristics of bedrock fracture systems in enemy UGF, which may be covered by soil or vegetation, is of paramount importance to the weapons development community in its quest to penetrate anisotropic environments. We utilize rigorous methodologies to predict fracture characteristics in overburden-covered regions from outcrop, core, borehole, and remote sensing data. We have established digital scanline and scangrid methodologies to characterize fracture geometries. The digital data allow us to easily analyze the fractures in terms of fractal and more advanced geostatistical techniques. We have developed theoretical and practical guidelines for determining the two-dimentional (2-D) density of fractures from one-dimentional (1-D) (scanline) data. Additionally, we have developed theoretical relationships between 2-D and 3-D fracture densities. Integration of digital field data with density and spatial structure of the fracture networks allows us to predict the distribution of fractures in areas removed from the outcrop. These methodologies, once refined, fully tested, and verified, will allow us to characterize three-dimensional fracture systems in potential target areas worldwide by remote sensing means alone.