<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-29T21:05:45Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/10061" metadataPrefix="etdms">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/10061</identifier><datestamp>2025-01-30T01:05:32Z</datestamp><setSpec>com_10259.4_2506</setSpec><setSpec>com_10259.4_2505</setSpec><setSpec>com_10259.4_106</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_7491</setSpec></header><metadata><thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.0/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.0/ http://www.ndltd.org/standards/metadata/etdms/1.0/etdms.xsd">
<title>Agronomic classification between vineyards ('Verdejo') using NDVI and Sentinel-2 and evaluation of their wines</title>
<creator>Vélez Martín, Sergio</creator>
<creator>Rubio Cano, José Antonio</creator>
<creator>Andrés, María Isabel</creator>
<creator>Barajas, Enrique</creator>
<subject>Sentinel-2</subject>
<subject>NDVI evolution</subject>
<subject>NDVI changes</subject>
<subject>Vineyard</subject>
<subject>Remote sensing</subject>
<subject>Vitis vinifera L</subject>
<description>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.</description>
<date>2025-01-29</date>
<date>2025-01-29</date>
<date>2019</date>
<type>info:eu-repo/semantics/article</type>
<identifier>http://hdl.handle.net/10259/10061</identifier>
<identifier>10.5073/vitis.2019.58.special-issue.33-38</identifier>
<identifier>2367-4156</identifier>
<language>eng</language>
<relation>Vitis: Journal of Grapevine Research. 2019. V. 58, p. 33-38</relation>
<relation>https://doi.org/10.5073/vitis.2019.58.special-issue.33-38</relation>
<rights>http://creativecommons.org/licenses/by-sa/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución-CompartirIgual 4.0 Internacional</rights>
<publisher>Julius Kühn-Institut</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>