Soil survey and continuous classification for terroir delineation in the “Colli Orientali del Friuli” wine production area

In viticulture, the challenges of local climate modelling are multiple: taking into account the local environment, fine temporal and spatial scales, reliable time series of climate data, ease of implementation and reproducibility of the method. At the local scale, recent studies have demonstrated the contribution of spatialization methods for ground-based climate observation data considering topographic factors such as altitude, slope, aspect, and geographic coordinates (Le Roux et al, 2017; De Rességuier et al, 2020). However, these studies have shown questions in terms of the reproducibility and sustainability of this type of climate study. In this context, we evaluated the potential of MODIS thermal satellite images validated with ground-based climate data (Morin et al, 2020). Previous studies have been encouraging, but questions remain to be explored at the regional scale, particularly in the dynamics of the massive use of bioclimatic indices to classify the climate of wine regions. The results at the local scale were encouraging, but this approach was tested in the current study at the regional scale. Several objectives were set: 1) to evaluate the downscaling method for land surface temperature time series, 2) to identify regional thermal structure variations. We used weekly minimum and maximum surface temperature time series acquired by MODIS satellites at a spatial resolution of 1000 m and downscaled at 500 m using topographical variables. Two types of analyses were performed:

Vineyards are highly variable and this variation is largely driven by environmental conditions and seasonal variation. For example, warm temperatures

Context and purpose of the study. Globally, vineyard cultivation uses conventional methods to manage pests, diseases and increase yield.

The development of sensory profiles is crucial for quality control and innovation in the wine industry. If quantitative descriptive analysis is the most commonly used method for establishing sensory profiles due to its robustness, it presents significant limitations.

Drought is one of the most challenging threats for viticulture because of its impact on reducing yield and on the composition of grapes.