RT Journal Article SR Electronic T1 Characterization of Vitis vinifera L. Canopy Using Unmanned Aerial Vehicle-Based Remote Sensing and Photogrammetry Techniques JF American Journal of Enology and Viticulture JO Am. J. Enol. Vitic. FD American Society for Enology and Viticulture SP ajev.2014.14070 DO 10.5344/ajev.2014.14070 A1 Rocío Ballesteros A1 José Fernandez Ortega A1 David Hernández A1 Miguel Ángel Moreno YR 2015 UL http://www.ajevonline.org/content/early/2015/01/12/ajev.2014.14070.abstract AB Leaf area index, green canopy cover, and canopy volume (LAI, GCC and V) are related with grape vigor, quality and yield. Thus, analyzing these parameters throughout the growing season contributes to optimizing site-specific management. Direct measurements of LAI are destructive and tedious and cannot be repeated for the same vine. Thus, it is necessary to develop and validate non-destructive methods to estimate this indicator in the field. Canopy pattern can be characterized by GCC and V. Aerial observation can be a useful tool to determine both parameters. The main purpose of this study was to characterize growth parameters, such as LAI, GCC and V of irrigated and rain-fed Vitis vinifera L. under semiarid conditions using aerial images from unmanned aerial vehicle (UAV). The relationships of LAI with GCC and V were calibrated and validated. Depending on canopy management, training system and pruning practices, the relationships between LAI and the other parameters would require adjustments. Relationships between LAI and growing degree days (GDD), and V and GDD were also obtained to determine a reliable canopy structure pattern during the growing season.