 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 results showed a moderate R2 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. R. Jensen and Adam J. Matthews. We are article.tv, links in the description below.