Abstract
In each winegrowing region, the winegrower tries to value its terroir and the oenologists do their best to produce the best wine. Thanks to new remote sensing techniques, it is possible to implement a segmentation of the vineyard according to the qualitative potential of the vine stocks and make the most of each terroir to improve wine quality. High resolution satellite images are processed in several spectral bands and algorithms set-up specifically for the Oenoview service allow to estimate vine vigour and a heterogeneity index that, used together, directly reflect the vineyard oenological potential. This service is used in different terroirs in France (Burgundy, Languedoc, Bordeaux, Anjou) and in other countries (Chile, Spain, Hungary and China). From this experience, we will show how remote sensing can help managing vine and wine production in all covered terroirs. Depending on the winegrowing region and its specificities, its use and results present some differences and similarities that we will highlight. We will give an overview of the method used, the advantage of implementing field intra-or inter-selection and how to optimize the use of amendment and sampling strategy as well as how to anticipate the whole vineyard management.
Highlights
In a context of growing competition on international markets, it becomes of utmost importance to help winegrowers improve profitability and maximize wine quality
Multi-spectral satellite and aerial images are frequently used to estimate vegetation indices or biophysical parameters linked to vegetation status [1], allowing to map intra and inter-field spatial variability [2]
Concrete uses for wine cooperatives or wine growers are diverse but field selection, fertilization and vineyard monitoring are the main uses observed
Summary
In a context of growing competition on international markets, it becomes of utmost importance to help winegrowers improve profitability and maximize wine quality. Multi-spectral satellite and aerial images are frequently used to estimate vegetation indices or biophysical parameters linked to vegetation status (biomass, nutrient deficiencies, water stress status, or health status) [1], allowing to map intra and inter-field spatial variability [2] The consideration of this high variability within vineyards is crucial for a better management on all aspects: technical to maximize agronomic performances, economical to optimize profitability and environmental to limit the impact of cultural practices. In France, several operational solutions exist and are based on multispectral UAV, aerial or satellite imagery Most of these solutions use vegetation indices such as NDVI (Normalize difference vegetation index) to reflect vine vigor (such as Fruition Analytics, EarthLab & Millesime), excepted Œnoview® which generates vine biophysical parameters such as FCover (Fraction of green cover vegetation). In the perspective of addressing other countries, which is a key strategic goal for TerraNIS development, demonstrations are still going on in Italy and Greece
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