 This study examined the use of structure from motion, SFM, technology to create detailed 3D models of a vineyard in the Texas Hill Country. The study used an unmanned aerial vehicle, UAV, and a digital camera to collect 201 aerial images, which were then processed to create a 3D point cloud. From this point cloud, non-ground points were identified and used to generate visualizations of the vineyard's block structures. Additionally, the study investigated the correlation between these non-ground points and LAI measurements taken from nearby sampled vines. The result showed a moderate or two value of 0.567, indicating that SFM data could be used to accurately estimate LAI values. Furthermore, SFM data provides a higher temporal resolution than traditional 3D datasets such as those obtained through light detection and ranging, LiDAR. This article was authored by Jennifer L. Argenson and Adam J. Matthews.