The utility of low frequency synthetic aperture radar (SAR) for detecting foliage-concealed targets is examined. A forest simulation has been created using a large set of randomly placed and oriented tree models over a lossy dielectric half-space. Given the size of the targets and the wideband frequencies of interest, it is shown that the problem size quickly grows beyond the capabilities of even supercomputers. As a result, an approximate linear superposition technique is developed to model the response from a large number of targets (T-72 tank plus forest model). Results in the SAR image domain show that the clutter response produced by the collection of trees is higher than the response from the T-72 in all cases except when the tank orientation is broadside to the radar aperture. Examination of the backscattered signature of the T-72 shows that there is a direct correlation between the target response and the physical layout of the vehicle. This connection between shape and response holds promise for future exploitation in ATR algorithm development.