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When analyzing the moisture-related spatial heterogeneity of crop-growing conditions, mapping soil water content is a potentially beneficial practice. Using commercially available point-based sensors is labor-intensive and often fails to generate maps with appropriate measurement density. The capacitance-based sensor analyzed in this paper is a suitable alternative that allows high-density on-the-go measurements obtained at a predefined depth. Laboratory sensor evaluation revealed an error of approximately 3% when predicting volumetric water content as well as giving a similar accuracy of gravimetric water content for limited soil density fluctuations across a wide range of Nebraska soils. Soil moisture maps obtained using this sensor can complement recently popularized soil mechanical resistance maps and other spatial data layers involved in the decision-making strategies now being developed.