A critical hydraulic parameter for geomedia is the saturated hydraulic conductivity. This property is needed in models for predicting water infiltration into soils and water runoff from landscapes. The objective of this study was to use computed tomography (CT)-measured macropore data to predict saturated hydraulic conductivity at four sites from several soil depths and multiple treatments. These core samples were removed from four Midwestern sites. Some study sites included soils developed in loess and glacial till as well as soils developed in deep loess. The four sites included treatments which evaluated different soil management relative to conservation programs with vegetative grasses and agroforestry treatments as well as restored and native prairies. The samples (76mm diam. by 76mm long) were scanned using a computed tomography scanner with 0.19 by 0.19 by 0.5mm resolution. CT-measured pore parameters included macroporosity (> 1000 μm diam.), coarse mesoporosity (200 to 1000 μm diam.), number of pores, circularity of pores, and fractal dimension of macroporosity. The log-transformed saturated hydraulic conductivity was best estimated using the logarithm of number of pores (r2 = 0.69). Results indicate that CT methods can be used as a characterization tool to assess soil pore properties for prediction of saturated hydraulic conductivity.