Technical Abstract: Data on soil water holding capacity and its distribution in the landscape are necessary for agricultural land management, especially precision agriculture. Because soil water holding capacities have generally been sampled manually they are often discontinuous and represent localized sites and small scales. Large scale landscape features such as slope and curvature are often good predictors of soil texture and related soil hydraulic properties and can be used to tie together small scale, discontinuous measures of soil water holding capacity. The purpose of this study was to investigate the effect of scale on the relationships between soil topographic variables slope and curvature, and water holding capacity. The experimental site was a 6 ha corn field located on the USDA Agricultural Research Service Beltsville Agricultural Research Center in Beltsville, Maryland. We laid out 30-meter long transects at four landscape positions, each plot was the same size as a yield monitor cell. We also collected duplicate soil cores for water retention and soil texture from each plot. Elevation slope, profile curvature and tangential curvature were calculated from elevations obtained from a topographic survey of the site. Spatial auto-regression was used to develop regression equations that predicted soil water holding capacity as a function of topographic parameters. Slope and tangential curvature were found to be significant predictors of water holding capacity in the upper 10 cm of soil. Spatial autocorrelation explained 60 to 70% of the variance in the relationship between landscape parameters and WHC. The 25- by 25-m scale of landscape parameters gave the best fit. At finer scales, there was too much noise and at more coarse scales too much smoothing of the terrain attributes.