2026-04-28T18:19:23Zhttps://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 31deed37-f210-4d3c-8107-3297a0706165 600 Rubio Cano, José Antonio 4c17ffdd-943c-4af6-b07d-59cc7ab4f84a 600 Andrés, María Isabel 3033deed-c944-41a8-9c42-cc30d850501a 600 Barajas, Enrique 143decd5-69b1-4d67-b51c-b63435757da0 600 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 THUMBNAIL Velez-vitis_2019.pdf.jpg Velez-vitis_2019.pdf.jpg IM Thumbnail image/jpeg 4724 https://riubu.ubu.es/bitstream/10259/10061/4/Velez-vitis_2019.pdf.jpg 064a3921bef90ec30abe019a8e14d13d MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/10061/3/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 1025 https://riubu.ubu.es/bitstream/10259/10061/2/license_rdf 84a900c9dd4b2a10095a94649e1ce116 MD5 2 ORIGINAL Velez-vitis_2019.pdf Velez-vitis_2019.pdf application/pdf 1062340 https://riubu.ubu.es/bitstream/10259/10061/1/Velez-vitis_2019.pdf 47f724b3deb0802b214699cb83b9a93b MD5 1 10259/10061 oai:riubu.ubu.es:10259/10061 2025-01-30 02:05:32.74 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es RWwgYXV0b3IgY29tbyDDum5pY28gdGl0dWxhciBkZSBsb3MgZGVyZWNob3MgZGUgcHJvcGllZGFkIGludGVsZWN0dWFsIGRlIGxhIG9icmEsIG8gZGlzcG9uaWVuZG8gZGUgbG9zIGRlYmlkb3MgcGVybWlzb3MgZGUgbG9zIG90cm9zIHRpdHVsYXJlcywgc2kgbG9zIGh1YmllcmEsIHkgZW4gdmlydHVkIGRlIGxvcyBkZXJlY2hvcyBxdWUgbGUgY29uZmllcmUgbGEgbGVnaXNsYWNpw7NuIHZpZ2VudGUgc29icmUgcHJvcGllZGFkIGludGVsZWN0dWFsIHkgZGVyZWNob3MgZGUgYXV0b3IsIApBVVRPUklaQSBhIGxhIFVuaXZlcnNpZGFkIGRlIEJ1cmdvcyBhIGRpZnVuZGlyLCBkZSBtYW5lcmEgZ3JhdHVpdGEsIGVsIGNvbnRlbmlkbyBkZSBsb3MgYXJjaGl2b3MgZGlnaXRhbGVzIHF1ZSBjb3JyZXNwb25kZW4gYWwgZG9jdW1lbnRvIGRlc2NyaXRvIGFudGVyaW9ybWVudGUsIGNvbiBjYXLDoWN0ZXIgbm8gZXhjbHVzaXZvIHkgZGUgbWFuZXJhIHDDumJsaWNhIGVuIGFjY2VzbyBhYmllcnRvIGEgdHJhdsOpcyBkZSBJbnRlcm5ldCwgcGFyYSBsbyBxdWUgbGEgQmlibGlvdGVjYSBwcm9jZWRlcsOhIGEgYXJjaGl2YXJsb3MgZW4gZWwgUmVwb3NpdG9yaW8gSW5zdGl0dWNpb25hbC4gQXNpbWlzbW8gYXV0b3JpemEgYSBsYSBVbml2ZXJzaWRhZCBkZSBCdXJnb3MgYSByZWFsaXphciBsYXMgdHJhbnNmb3JtYWNpb25lcyBuZWNlc2FyaWFzIGRlIGZvcm1hdG8sIG5vIGRlIGNvbnRlbmlkbywgcGFyYSBnYXJhbnRpemFyIGxhIHByZXNlcnZhY2nDs24geSBlbCBhY2Nlc28gZW4gZWwgZnV0dXJvLgoKRWwgYXV0b3IgZGlzcG9uZSwgZW4gdG9kbyBjYXNvLCBkZWwgZGVyZWNobyBhIHJldm9jYXIgZXN0YSBhdXRvcml6YWNpw7NuLgoKTGEgY2VzacOzbiBkZSBkZXJlY2hvcyBkZSBlc3RhIG9icmEgc2UgZW5jdWVudHJhIHN1amV0YSBhIGxhIGxlZ2lzbGFjacOzbiB2aWdlbnRlIHNvYnJlIHByb3BpZWRhZCBpbnRlbGVjdHVhbCB5IGRlcmVjaG9zIGRlIGF1dG9yLiBTdSBkaWZ1c2nDs24gZW4gZWwgUmVwb3NpdG9yaW8gc2Vyw6EgYmFqbyBsYSBtb2RhbGlkYWQgZGUgbGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyBvIGVxdWl2YWxlbnRlOiByZWNvbm9jaW1pZW50byDigJMgdXNvIG5vIGNvbWVyY2lhbCDigJMgc2luIG9icmEgZGVyaXZhZGEsIHBvciBsYSBxdWUgc2UgcGVybWl0ZSBoYWNlciBjb3BpYSwgZGlzdHJpYnVpciB5IGNvbXVuaWNhciBww7pibGljYW1lbnRlIGxhIG9icmEgc2llbXByZSBxdWUgc2UgY2l0ZSBhbCBhdXRvciwgZWwgdXNvIHF1ZSBzZSBoYWdhIGRlIGVsbGEgc2VhIG5vIGNvbWVyY2lhbCB5IG5vIHNlIGNyZWVuIG9icmFzIGRlcml2YWRhcyBhIHBhcnRpciBkZSBsYSBvcmlnaW5hbC4K