Version 1
: Received: 27 February 2024 / Approved: 28 February 2024 / Online: 28 February 2024 (17:01:29 CET)
How to cite:
Del Rio, M.S.; Cicuéndez, V.; Yagüe, C. Characterization of two vineyards in Mexico based on Sentinel-2 and meteorological data. Preprints2024, 2024021637. https://doi.org/10.20944/preprints202402.1637.v1
Del Rio, M.S.; Cicuéndez, V.; Yagüe, C. Characterization of two vineyards in Mexico based on Sentinel-2 and meteorological data. Preprints 2024, 2024021637. https://doi.org/10.20944/preprints202402.1637.v1
Del Rio, M.S.; Cicuéndez, V.; Yagüe, C. Characterization of two vineyards in Mexico based on Sentinel-2 and meteorological data. Preprints2024, 2024021637. https://doi.org/10.20944/preprints202402.1637.v1
APA Style
Del Rio, M.S., Cicuéndez, V., & Yagüe, C. (2024). Characterization of two vineyards in Mexico based on Sentinel-2 and meteorological data. Preprints. https://doi.org/10.20944/preprints202402.1637.v1
Chicago/Turabian Style
Del Rio, M.S., Víctor Cicuéndez and Carlos Yagüe. 2024 "Characterization of two vineyards in Mexico based on Sentinel-2 and meteorological data" Preprints. https://doi.org/10.20944/preprints202402.1637.v1
Abstract
In Mexico viticulture represents the second source of employment in the agricultural area after the fruit and vegetable sector. In developed countries, remote sensing is widely used for vineyard monitoring, however, this tool is barely used in developing countries of Iberoamerica. In this re-search, our overall objective is to characterize two vineyards in the state of Queretaro (Mexico) using Sentinel-2 and meteorological data, specifically spectral and thermal indices. Results showed that spectral indices obtained from Sentinel-2 bands have characterized adequately the phenolog-ical evolution of the different varieties of the vineyards. The Modified Soil-Adjusted Vegetation Index (MSAVI) was adequately used to discriminate the first stages of vineyards, while the Nor-malized Difference Vegetation Index (NDVI) was useful to monitor vineyards during the rest stages of vineyards. Thermal indices have shown that the best grape varieties were those that can adapt to both cooler and warmer temperatures, have a reasonable ripening period, and can produce wines with balanced acidity and flavors. In conclusion, the combination of meteorological (including thermal indices) and remote sensing data (NDVI and MSAVI) provide information for choosing the suitable grape variety for this region.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
