{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:49:53Z","timestamp":1764784193427,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T00:00:00Z","timestamp":1552435200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["ERA4CS\/0004\/2016"],"award-info":[{"award-number":["ERA4CS\/0004\/2016"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The vegetative development of grapevines is orchestrated by very specific meteorological conditions. In the wine industry vineyards demand diligent monitoring, since quality and productivity are the backbone of the economic potential. Regional climate indicators and meteorological information are essential to winemakers to assure proper vineyard management. Satellite data are very useful in this process since they imply low costs and are easily accessible. This work proposes a statistical modelling approach based on parameters obtained exclusively from satellite data to simulate annual wine production. The study has been developed for the Douro Demarcated Region (DDR) due to its relevance in the winemaking industry. It is the oldest demarcated and controlled winemaking region of the world and listed as one of UNESCO\u2019s World Heritage regions. Monthly variables associated with Land Surface Temperatures (LST) and Fraction of Absorbed Photosynthetic Active Radiation (FAPAR), which is representative of vegetation canopy health, were analysed for a 15-year period (2004 to 2018), to assess their relation to wine production. Results showed that high wine production years are associated with higher than normal FAPAR values during approximately the entire growing season and higher than normal values of surface temperature from April to August. A robust linear model was obtained using the most significant predictors, that includes FAPAR in December and maximum and mean LST values in March and July, respectively. The model explains 90% of the total variance of wine production and presents a correlation coefficient of 0.90 (after cross validation). The retained predictors\u2019 anomalies for the investigated vegetative year (October to July) from 2017\/2018 satellite data indicate that the ensuing wine production for the DDR is likely to be below normal, i.e., to be lower than what is considered a high-production year. This work highlights that is possible to estimate wine production at regional scale based solely on low-resolution remotely sensed observations that are easily accessible, free and available for numerous grapevines regions worldwide, providing a useful and easy tool to estimate wine production and agricultural monitoring.<\/jats:p>","DOI":"10.3390\/rs11060604","type":"journal-article","created":{"date-parts":[[2019,3,14]],"date-time":"2019-03-14T04:15:29Z","timestamp":1552536929000},"page":"604","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Modelling of Wine Production Using Land Surface Temperature and FAPAR\u2014The Case of the Douro Wine Region"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8977-4632","authenticated-orcid":false,"given":"Clarisse","family":"Magarreiro","sequence":"first","affiliation":[{"name":"Instituto Portugu\u00eas do Mar e da Atmosfera, I.P., Rua C do Aeroporto, 1749-077 Lisboa, Portugal"},{"name":"Instituto Dom Luiz, Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9501-3028","authenticated-orcid":false,"given":"C\u00e9lia M.","family":"Gouveia","sequence":"additional","affiliation":[{"name":"Instituto Portugu\u00eas do Mar e da Atmosfera, I.P., Rua C do Aeroporto, 1749-077 Lisboa, Portugal"},{"name":"Instituto Dom Luiz, Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisboa, Portugal"}]},{"given":"Carla M.","family":"Barroso","sequence":"additional","affiliation":[{"name":"Instituto Portugu\u00eas do Mar e da Atmosfera, I.P., Rua C do Aeroporto, 1749-077 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8640-9170","authenticated-orcid":false,"given":"Isabel F.","family":"Trigo","sequence":"additional","affiliation":[{"name":"Instituto Portugu\u00eas do Mar e da Atmosfera, I.P., Rua C do Aeroporto, 1749-077 Lisboa, Portugal"},{"name":"Instituto Dom Luiz, Faculdade de Ci\u00eancias, Universidade de Lisboa, 1749-016 Lisboa, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1002\/fes3.14","article-title":"An overview of climate change impacts on European viticulture","volume":"1","author":"Fraga","year":"2012","journal-title":"Food Energy Secur."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"163","DOI":"10.3354\/cr00918","article-title":"Climate change scenarios applied to viticultural zoning in Europe","volume":"43","author":"Malheiro","year":"2010","journal-title":"Clim. Res."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sun, L., Gao, F., Anderson, M.C., Kustas, W.P., Alsina, M.M., Sanchez, L., and Alfieri, J.G. (2017). Daily mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards. Remote Sens., 9.","DOI":"10.3390\/rs9040317"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1080\/1260500236682","article-title":"Global climate matching: Satellite imagery as a tool for mapping vineyard suitability","volume":"16","author":"Tatem","year":"2005","journal-title":"J. Wine Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1504\/IJGW.2012.049448","article-title":"Impact of climate change on wine production: A global overview and regional assessment in the Douro Valley of Portugal","volume":"4","author":"Jones","year":"2012","journal-title":"Int. J. Glob. Warm."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.tree.2005.05.011","article-title":"Using the satellite derived NDVI to assess ecological responses to environmental change","volume":"20","author":"Pettorelli","year":"2005","journal-title":"Trends Ecol. Evol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.rse.2013.08.037","article-title":"Evaluation of six satellite derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent","volume":"140","author":"Canadell","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1111\/j.1755-0238.2003.tb00258.x","article-title":"Temporal stability of an NDVI-LAI relationship in a Napa Valley vineyard","volume":"9","author":"Johnson","year":"2003","journal-title":"Aust. J. Grape Wine Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2971","DOI":"10.3390\/rs70302971","article-title":"Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture","volume":"7","author":"Matese","year":"2015","journal-title":"Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Anastasiou, E., Balafoutis, A., Darra, N., Psiroukis, V., Biniari, A., Xanthopoulos, G., and Fountas, S. (2018). Satellite and Proximal Sensing to Estimate the Yield and Quality of Table Grapes. Agriculture, 8.","DOI":"10.3390\/agriculture8070094"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1080\/01431160903154382","article-title":"Very early prediction of wine yield based on satellite data from VEGETATION","volume":"31","author":"Cunha","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"349","DOI":"10.3354\/cr01006","article-title":"Modelling past and future wine production in the Portuguese Douro Valley","volume":"48","author":"Gouveia","year":"2011","journal-title":"Clim. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0169-2046(03)00156-7","article-title":"The Alto Douro wine region greenway","volume":"68","author":"Andresen","year":"2004","journal-title":"Landsc. Urban Plan."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1016\/j.rse.2004.04.009","article-title":"Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements","volume":"91","author":"Fensholt","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_15","unstructured":"Garc\u00eda-Haro, F.J., Camacho, F., Verger, A., and Meli\u00e1, J. (2009, January 15\u201318). Current status and potential applications of the LSA-SAF suite of vegetation products. Proceedings of the 29th EARSeL Symposium, Chania, Greece."},{"key":"ref_16","unstructured":"LSA-SAF (2016) (2019, February 01). Algorithm Theoretical Basis Document for Vegetation parameters (VEGA). Available online: https:\/\/landsaf.ipma.pt."},{"key":"ref_17","first-page":"463","article-title":"Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula","volume":"21","author":"Camacho","year":"2013","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_18","unstructured":"OIV\u2014International Organisation of Vine and Wine (2019, February 01). State of the Vitiviniculture World Market\u2014April 2018. Available online: http:\/\/www.oiv.int."},{"key":"ref_19","unstructured":"Cunha, M., and Richter, C. (2018). Impact of Climate Dynamics on Cyclical Properties of Wine Production in Douro Region Using a Time-Frequency Approach (No. 47), Faculty of Management Technology, German University in Cairo."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s00484-014-0918-1","article-title":"Partitioning the grapevine growing season in the Douro Valley of Portugal: Accumulated heat better than calendar dates","volume":"59","author":"Real","year":"2015","journal-title":"Int. J. Biometeorol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10584-012-0538-x","article-title":"Ensemble projections for wine production in the Douro Valley of Portugal","volume":"117","author":"Santos","year":"2013","journal-title":"Clim. Chang."},{"key":"ref_22","unstructured":"Cunha, M., Mar\u00e7al, A.R., and Rodrigues, A. (2009, January 15\u201318). A comparative study of satellite and ground based vineyard phenology. Proceedings of the 29th EARSeL Symposium, Chania, Greece."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/s00484-010-0318-0","article-title":"Statistical modelling of grapevine yield in the Port Wine region under present and future climate conditions","volume":"55","author":"Santos","year":"2011","journal-title":"Int. J. Biometeorol."},{"key":"ref_24","unstructured":"(2019, February 01). IVV\u2014Instituto do Vinho e da Vinha, Available online: http:\/\/www.ivv.gov.pt."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2725","DOI":"10.1080\/01431161003743199","article-title":"The Satellite Application Facility on Land Surface Analysis","volume":"32","author":"Trigo","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","unstructured":"LSA-SAF (2009) (2019, February 01). Validation Report for Land Surface Temperature (LST). Available online: https:\/\/landsaf.ipma.pt."},{"key":"ref_27","unstructured":"LSA-SAF (2018) (2019, February 01). Validation Report for Vegetation parameters (VEGA). Available online: https:\/\/landsaf.ipma.pt."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"044004","DOI":"10.1088\/1748-9326\/5\/4\/044004","article-title":"Land surface skin temperature climatology: Benefitting from the strengths of satellite observations","volume":"5","author":"Jin","year":"2010","journal-title":"Environ. Res. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1109\/TGRS.2009.2027697","article-title":"Quantifying the uncertainty of land surface temperature retrievals from SEVIRI\/Meteosat","volume":"48","author":"Freitas","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/0034-4257(94)00114-3","article-title":"Estimating PAR absorbed by vegetation from bidirectional reflectance measurements","volume":"51","author":"Roujean","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"European Commission regulation (EC) (2009). No 607\/2009 (2009). Laying down certain detailed rules for the implementation of Council Regulation (EC) No 479\/2008 as regards protected designations of origin and geographical indications, traditional terms, labelling and presentation of certain wine sector products. Off. J. Eur. Union, 193, 60\u2013139."},{"key":"ref_32","unstructured":"Wilks, D.S. (2006). Statistical Methods in the Atmospheric Sciences, Academic Press."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"164","DOI":"10.5344\/ajev.2009.60.2.164","article-title":"Grapevine response to soil temperature: Xylem cytokinins and carbohydrate reserve mobilization from budbreak to anthesis","volume":"60","author":"Field","year":"2009","journal-title":"Am. J. Enol. Vitic."},{"key":"ref_34","unstructured":"Mullins, M.G., Bouquet, A., and Williams, L.E. (1992). Biology of the Grapevine, Cambridge University Press."},{"key":"ref_35","unstructured":"Mar\u00e7al, A.R., Gon\u00e7alves, J.A., Gon\u00e7alves, H., and Cunha, M. (June, January 29). Analysis of the temporal signature of vineyards in Portugal using VEGETATION. Proceedings of the 26th EARSeL Symposium, New Developments and Challenges in Remote Sensing, Warsaw, Poland."},{"key":"ref_36","first-page":"287","article-title":"Winegrape phenology and temperature relationships in the Lisbon Wine Region, Portugal","volume":"47","author":"Malheiro","year":"2013","journal-title":"J. Int. Des. Sci. De La Vigne Et Du Vin"},{"key":"ref_37","unstructured":"Wolf, T.K., and Boyer, J.D. (2003). Vineyard Site SelectionVirginia Tech, Virginia State University."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"59","DOI":"10.5344\/ajev.2013.13098","article-title":"Modeling dormant bud cold hardiness and budbreak in twenty-three Vitis genotypes reveals variation by region of origin","volume":"65","author":"Ferguson","year":"2014","journal-title":"Am. J. Enol. Vitic."},{"key":"ref_39","unstructured":"Keller, M. (2015). The Science of Grapevines: Anatomy and Physiology, Academic Press."},{"key":"ref_40","unstructured":"(2019, February 20). ADVID\u2014Associa\u00e7\u00e3o para o Desenvolvimento da Viticultura Duriense. Available online: http:\/\/www.advid.pt\/imagens\/comunicacoes\/14585596628243.pdf."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1175\/1520-0477(1997)078<0621:GDWFS>2.0.CO;2","article-title":"Global drought watch from space","volume":"78","author":"Kogan","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_42","unstructured":"OIV\u2014International Organisation of Vine and Wine (2019, February 01). Global Economic Vitiviniculture Data\u2014October, 26th 2018. Available online: http:\/\/www.oiv.int\/en\/oiv-life\/press-releasenbspglobal-vitiviniculture-data."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/6\/604\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:38:22Z","timestamp":1760186302000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/6\/604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,13]]},"references-count":42,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["rs11060604"],"URL":"https:\/\/doi.org\/10.3390\/rs11060604","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,3,13]]}}}