 This study uses structure from motion, SFM, technique with unmanned aerial vehicle, UAV, and digital camera to model vine canopy structure at a Texas Hill Country study vineyard, creating visualizations of the vineyard blocks and exploring relationship between non-ground points near sampled vines and collected leaf area index LA measurements. The analysis resulted in a moderate R2 value of 0.567, accounting for 57% of the variation of LAI using six predictor variables, providing justification for SFM datasets to provide three dimensional datasets necessary for vegetation structure visualization and biophysical modeling over areas of smaller extent, as well as increased temporal resolution compared to traditional three-dimensional datasets like those captured by LIDAR. This article was authored by Jennifer L. R. Jensen and Adam J. Matthews.