Understanding and managing wine production from different terroirs

Unmanned Aerial Vehicles (UAVs) are increasingly used to monitor canopy structure and vineyard performance. Compared with traditional remote sensing platforms (e.g. aircraft and satellite), UAVs offer a higher operational flexibility and can acquire ultra-high resolution images in formats such as true color red, green and blue (RGB) and multispectral. Using photogrammetry, 3D vineyard models and normalized difference vegetation index (NDVI) maps can be created from UAV images and used to study the structure and health of grapevine canopies. However, there is a lack of comparison between UAV-based images and ground-based measurements, such as leaf area index (LAI) and canopy porosity.

Sulfites (SO2) are commonly used in the wine industry to preserve products during storage for antiseptic and antioxidant purposes (Oliveira et al., 2011).

The genetic material preservation is a priority issue in winemaking research. The recovery of minority grape varieties can control the genetic erosion, contributing also to preserve wine typical characteristics. In D.O.Ca. Rioja (Spain) the number of grown white varieties has been very limited, representing Viura the 91% of the cultivated white grape area in 2005, while the others, Garnacha Blanca and Malvasía riojana, hardly were grown. For this reason, a recovery and characterization study of plant material was carried out in this region. In 2008, the results obtained allowed the authorization of three minority white varieties: Tempranillo Blanco, Maturana Blanca and Turruntés.

Viticulture needs for spatial and temporal information are increasing to improve vineyard management, especially concerning water efficiency. Remote sensing, particularly from satellites, can be a powerful tool to assess vineyard characteristics such as vigor or water status in space-time. In this study, we use Landsat 8, an American Earth observation satellite with six bands from the visible (VIS) to the Short-Wave Infrared (SWIR) domains with 30m spatial resolution and two thermal bands with 100m spatial resolution.

The identification and management of intra-vineyard variability are key to precision viticulture, and sensors have been proven to be highly efficient tools for detecting these variations.