2026-06-23T05:32:42Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/100612025-01-30T01:05:32Zcom_10259.4_2506com_10259.4_2505com_10259.4_106com_10259_2604col_10259_7491

Vélez Martín, Sergio Rubio Cano, José Antonio Andrés, María Isabel Barajas, Enrique 2025-01-29T09:04:52Z 2025-01-29T09:04:52Z 2019 http://hdl.handle.net/10259/10061 10.5073/vitis.2019.58.special-issue.33-38 2367-4156 A classification between three vineyards belonging to the Appellation of Origin Rueda (Castilla y León, Spain) has been established in veraison to determine the productive capacities of each vineyard and to study their impact on the grape quality. Several open-access multispectral images obtained from the SENTINEL-2A satellite in the year 2016 were used to calculate the NDVI (Normalized Difference Vegetation Index), which provides information about the vigour of the vineyards. Eleven cloud-free images were assessed and based on the NDVI, three vigour levels were established: high vigour (0.356-0.458), medium vigour (0.285-0.355) and low vigour (0.166-0.284). A level of vigour was assigned to each vineyard according to the NDVI mean values of its pixels. Significant differences were found in the pruning wood weight and yield: high, medium and low vigour values were 2438, 1895 and 1487 kg·ha-1 and 15984, 12990 and 10576 kg·ha-1, respectively. The highest values of total acidity (6.04 g·L-1) and tartaric acid (9.05 g·L-1) have been obtained in low vigour, as well as the lowest values of pH (3.26), malic acid (0.42 g·L-1) and potassium (1640 ppm). Finally, one wine per vigour was produced and a tasting was carried out to check if the differences between the vineyards were perceptible. According to the obtained results, the NDVI is a good indicator to classify vineyards, finding notable differences between the experimental treatments studied. This work has been possible thanks to the financial support of Junta de Castilla y León, FEDER funds, INIA RTA2014-007-C02, FPI-INIA2016-017 project and Bodega CuatroRayas application/pdf eng Julius Kühn-Institut Vitis: Journal of Grapevine Research. 2019. V. 58, p. 33-38 https://doi.org/10.5073/vitis.2019.58.special-issue.33-38 Atribución-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-sa/4.0/ info:eu-repo/semantics/openAccess Sentinel-2 NDVI evolution NDVI changes Vineyard Remote sensing Vitis vinifera L Agricultura Viticultura Agriculture Viticulture Agronomic classification between vineyards ('Verdejo') using NDVI and Sentinel-2 and evaluation of their wines info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Vitis: Journal of Grapevine Research 58 33 38