{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T23:26:10Z","timestamp":1772666770131,"version":"3.50.1"},"reference-count":79,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2015,12,5]],"date-time":"2015-12-05T00:00:00Z","timestamp":1449273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Several vegetation indices (VI) derived from handheld spectroradiometer reflectance data in the visible spectral region were tested for modelling grapevine water status estimated by the predawn leaf water potential (\u03a8pd). The experimental trial was carried out in a vineyard in Douro wine region, Portugal. A statistical approach was used to evaluate which VI and which combination of wavelengths per VI allows the best correlation between VIs and \u03a8pd. A linear regression was defined using a parameterization dataset. The correlation analysis between \u03a8pd and the VIs computed with the standard formulation showed relatively poor results, with values for squared Pearson correlation coefficient (r2) smaller than 0.67. However, the results of r2 highly improved for all VIs when computed with the selected best combination of wavelengths (optimal VIs). The optimal Visible Atmospherically Resistant Index (VARI) and Normalized Difference Greenness Vegetation Index (NDGI) showed the higher r2 and stability index results. The equations obtained through the regression between measured \u03a8pd (\u03a8pd_obs) and optimal VARI and between \u03a8pd_obs and optimal NDGI when using the parameterization dataset were adopted for predicting \u03a8pd using a testing dataset. The comparison of \u03a8pd_obs with \u03a8pd predicted based on VARI led to R2 = 0.79 and a regression coefficient b = 0.96. Similar R2 was achieved for the prediction based on NDGI, but b was smaller (b = 0.93). Results obtained allow the future use of optimal VARI and NDGI for estimating \u03a8pd, supporting vineyards irrigation management.<\/jats:p>","DOI":"10.3390\/rs71215835","type":"journal-article","created":{"date-parts":[[2015,12,9]],"date-time":"2015-12-09T07:06:30Z","timestamp":1449644790000},"page":"16460-16479","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8280-0110","authenticated-orcid":false,"given":"Isabel","family":"P\u00f4\u00e7as","sequence":"first","affiliation":[{"name":"Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa 1349-017, Portugal"},{"name":"Geo-Space Sciences Research Centre, (CICGE), Rua do Campo Alegre, Porto 4169-007, Portugal"}]},{"given":"Arlete","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Geo-Space Sciences Research Centre, (CICGE), Rua do Campo Alegre, Porto 4169-007, Portugal"}]},{"given":"Sara","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Faculdade de Ci\u00eancias da Universidade do Porto, Rua do Campo Alegre, Porto 4169-007, Portugal"}]},{"given":"Patr\u00edcia","family":"Costa","sequence":"additional","affiliation":[{"name":"Geo-Space Sciences Research Centre, (CICGE), Rua do Campo Alegre, Porto 4169-007, Portugal"}]},{"given":"Igor","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Associa\u00e7\u00e3o para o Desenvolvimento da Viticultura Duriense, Quinta de Sta. Maria, Apartado 137, Godim 5050-106, Portugal"}]},{"given":"Lu\u00eds","family":"Pereira","sequence":"additional","affiliation":[{"name":"Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa 1349-017, Portugal"}]},{"given":"M\u00e1rio","family":"Cunha","sequence":"additional","affiliation":[{"name":"Geo-Space Sciences Research Centre, (CICGE), Rua do Campo Alegre, Porto 4169-007, Portugal"},{"name":"Faculdade de Ci\u00eancias da Universidade do Porto, Rua do Campo Alegre, Porto 4169-007, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2015,12,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1016\/j.agwat.2011.02.011","article-title":"Regulated deficit irrigation effects on growth, yield, grape quality and individual anthocyanin composition in Vitis vinifera L. 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