Soil water movement is affected by soil physical properties and field terrain changes. The identification of within-field areas prone to excess or deficit of soil moisture could support the implementation of variable rate irrigation and adoption of irrigation scheduling strategies. This study evaluated the use of the topographic wetness index (TWI) and topographic position index (TPI) to understand and explain within-field soil moisture variability. Volumetric water content (VWC) collected in 2021 at multiple locations within two farmers’ fields in Alabama, USA was used for this study. One of the fields was planted with peanut and the other with soybean. Spatio-temporal VWC changes were assessed through time domain reflectometry (TDR) soil sensors that recorded hourly data at 15, 30, and 60 cm soil depths from different locations across each field. Topographic indices were generated using terrain elevation data collected with real-time kinematics GPS units mounted on crop planters or grain combines. Every soil sensor location was assigned attributes of TWI, TPI, terrain elevation, slope, and soil texture.  Principal component analysis (PCA) was used to evaluate the spatio-temporal variability of VWC and its relationship with topographic indices and other terrain and soil features. Correlation analyses were used to evaluate the degree of association between PCs, topographic indices, soil texture, and yield. Results from the PCA analysis showed that soil sensor locations grouped by TWI and TPI classes, but the degree of separation changed between sites. A negative correlation was observed between PCs and TWI and the opposite was observed for TPI. Positive TPI values representing the summit areas were correlated with low VWC values. Preliminary results from two-site years suggest that topographic indices could be used to understand within-field variability of soil moisture and therefore be considered to improve delineation of irrigation management zones and could also guide farmers in the identification of best locations for tracking soil moisture changes with irrigation scheduling purposes.