Quantifying long-term, global soil change is of the utmost importance as the human population continues growing and food security needs intensify. North Dakota presents a unique opportunity to study dynamic soil change because of its agricultural prominence and extensive soil survey data. A resampling method to characterize soil change from legacy soil survey data was utilized on a benchmark soil series, the Barnes, in North Dakota. Significant decreases (p<0.05) in soil organic carbon (SOC) were measured in surface horizons of three Barnes pedons, and depending upon management practices, morphologic changes ranged from highly eroded, with the complete loss of the A horizon, at two sites, to non-eroded conditions at sites returned to CRP 25 years ago. Additionally, using remotely sensed evapotranspiration (ET) data as a non-biased proxy for soil function shows modeling potential. These results serve as a proof of concept and demonstrate the need for more comprehensive research.