{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:48:40Z","timestamp":1775839720462,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T00:00:00Z","timestamp":1490313600000},"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>Flavescence dor\u00e9e is a grapevine disease affecting European vineyards which has severe economic consequences and containing its spread is therefore considered as a major challenge for viticulture. Flavescence dor\u00e9e is subject to mandatory pest control including removal of the infected vines and, in this context, automatic detection of Flavescence dor\u00e9e symptomatic vines by unmanned aerial vehicle (UAV) remote sensing could constitute a key diagnosis instrument for growers. The objective of this paper is to evaluate the feasibility of discriminating the Flavescence dor\u00e9e symptoms in red and white cultivars from healthy vine vegetation using UAV multispectral imagery. Exhaustive ground truth data and UAV multispectral imagery (visible and near-infrared domain) have been acquired in September 2015 over four selected vineyards in Southwest France. Spectral signatures of healthy and symptomatic plants were studied with a set of 20 variables computed from the UAV images (spectral bands, vegetation indices and biophysical parameters) using univariate and multivariate classification approaches. Best results were achieved with red cultivars (both using univariate and multivariate approaches). For white cultivars, results were not satisfactory either for the univariate or the multivariate. Nevertheless, external accuracy assessment show that despite problems of Flavescence dor\u00e9e and healthy pixel misclassification, an operational Flavescence dor\u00e9e mapping technique using UAV-based imagery can still be proposed.<\/jats:p>","DOI":"10.3390\/rs9040308","type":"journal-article","created":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T11:38:27Z","timestamp":1490355507000},"page":"308","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":178,"title":["Detection of Flavescence dor\u00e9e Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery"],"prefix":"10.3390","volume":"9","author":[{"given":"Johanna","family":"Albetis","sequence":"first","affiliation":[{"name":"Ecole d\u2019Ing\u00e9nieurs de PURPAN, Universit\u00e9 de Toulouse, INPT, UMR 1201 DYNAFOR, 75 voie du TOEC, BP 57611, F-31076 Toulouse Cedex 03, France"}]},{"given":"Sylvie","family":"Duthoit","sequence":"additional","affiliation":[{"name":"TerraNIS, 10 avenue de l\u2019Europe, F-31520 Ramonville-saint-agne, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2285-4122","authenticated-orcid":false,"given":"Fabio","family":"Guttler","sequence":"additional","affiliation":[{"name":"Ecole d\u2019Ing\u00e9nieurs de PURPAN, Universit\u00e9 de Toulouse, INPT, UMR 1201 DYNAFOR, 75 voie du TOEC, BP 57611, F-31076 Toulouse Cedex 03, France"}]},{"given":"Anne","family":"Jacquin","sequence":"additional","affiliation":[{"name":"Ecole d\u2019Ing\u00e9nieurs de PURPAN, Universit\u00e9 de Toulouse, INPT, UMR 1201 DYNAFOR, 75 voie du TOEC, BP 57611, F-31076 Toulouse Cedex 03, France"}]},{"given":"Michel","family":"Goulard","sequence":"additional","affiliation":[{"name":"INRA, UMR 1201 DYNAFOR, 24 chemin de borderouge, CS 52627, F-31326 Castanet-Tolosan Cedex, France"}]},{"given":"Herv\u00e9","family":"Poilv\u00e9","sequence":"additional","affiliation":[{"name":"AIRBUS Defense and Space, 5 rue des satellites, F-31400 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0151-1334","authenticated-orcid":false,"given":"Jean-Baptiste","family":"F\u00e9ret","sequence":"additional","affiliation":[{"name":"IRSTEA, UMR TETIS, 500 rue Jean-Fran\u00e7ois Breton, F-34000 Montpellier, France"}]},{"given":"G\u00e9rard","family":"Dedieu","sequence":"additional","affiliation":[{"name":"CESBIO, UMR 5126 CNES-UPS-CNRS-IRD, 18 avenue Edouard Belin, BPI 2801, F-31401 Toulouse Cedex 9, France"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s13593-014-0208-7","article-title":"Biology and ecology of the Flavescence dor\u00e9e vector Scaphoideus titanus: A review","volume":"34","author":"Chuche","year":"2014","journal-title":"Agron. Sustain. Dev."},{"key":"ref_2","first-page":"1021","article-title":"Sur la transmission de la Flavescence dor\u00e9e des vignes par une cicadelle","volume":"47","author":"Schvester","year":"1961","journal-title":"Comptes Rendus des S\u00e9ances de l\u2019Acad\u00e9mie d\u2019Agriculture de France"},{"key":"ref_3","first-page":"99","article-title":"Experimental transmission by Scaphoideus titanus Ball of two Flavescence doree\u2014Type phytoplasmas","volume":"41","author":"Mori","year":"2002","journal-title":"VITIS J. Grapevine Res."},{"key":"ref_4","first-page":"325","article-title":"The leafhoppers (Homoptera: Auchenorrhyncha) and their relationship with vineyards in south-western France","volume":"11","author":"Bonfils","year":"1960","journal-title":"Ann. Epiphyt."},{"key":"ref_5","unstructured":"Caudwell, A. (1964). Identification D\u2019une Nouvelle Maladie \u00e0 Virus de la Vigne, \u201cla Flavescence dor\u00e9e\u201d, \u00e9tude des Ph\u00e9nom\u00e8nes de Localisation des Sympt\u00f4mes et de R\u00e9tablissement. [Ph.D. Thesis, Institut National de la Recherche Agronomique]."},{"key":"ref_6","first-page":"281","article-title":"Border effect in spatial distribution of Flavescence dor\u00e9e affected grapevines and outside source of Scaphoideus titanus vectors","volume":"65","author":"Pavan","year":"2012","journal-title":"Bull. Insectol."},{"key":"ref_7","unstructured":"(2016, December 30). Jaunisses \u00e0 phytoplasmes de la vigne. Available online: http:\/\/www.vignevin.com\/fileadmin\/users\/ifv\/publications\/A_telecharger\/JaunissesPhytoplasmesVigne.pdf."},{"key":"ref_8","unstructured":"GDON (2014). Guide flavescence\u2014Aide au diagnostic de la Flavescence dor\u00e9e GDON du sauternais et des Graves, GDON du Sauternais et des Graves. Technical Report."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1080\/02757250109532427","article-title":"Application of remote sensing and GIS for the monitoring of diseases: A unique research agenda for geographers","volume":"20","author":"Kazmi","year":"2001","journal-title":"Remote Sens. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s11119-007-9036-y","article-title":"Multi-temporal wheat disease detection by multi-spectral remote sensing","volume":"8","author":"Franke","year":"2007","journal-title":"Precis. Agric."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compag.2010.02.007","article-title":"A review of advanced techniques for detecting plant diseases","volume":"72","author":"Sankaran","year":"2010","journal-title":"Comput. Electron. Agric."},{"key":"ref_12","first-page":"262","article-title":"Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex","volume":"55","author":"Gennaro","year":"2016","journal-title":"Phytopathol. Mediterr."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"677","DOI":"10.2307\/2657068","article-title":"Leaf optical properties in higher plants: Linking spectral characteristics to stress and chlorophyll concentration","volume":"88","author":"Carter","year":"2001","journal-title":"Am. J. Bot."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.compag.2008.11.007","article-title":"The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars","volume":"66","author":"Naidu","year":"2009","journal-title":"Comput. Electron. Agric."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s10658-011-9878-z","article-title":"Recent advances in sensing plant diseases for precision crop protection","volume":"133","author":"Mahlein","year":"2012","journal-title":"Eur. J. Plant. Pathol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"329","DOI":"10.2135\/cropsci2006.05.0335","article-title":"Changes in spectral characteristics of rice canopy infested with brown planthopper and leaffolder","volume":"47","author":"Yang","year":"2007","journal-title":"Crop Sci."},{"key":"ref_17","unstructured":"Johnson, L.F., Roczen, D., and Youkhana, S. (2001, January 5\u20137). Vineyard canopy density mapping with IKONOS satellite imagery. Proceedings of the Third International Conference on Geospatial Information in Agriculture and Forestry, Denver, CO, USA."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1094\/PDIS-04-10-0256","article-title":"Satellite Remote sensing of wheat infected by wheat streak mosaic virus","volume":"95","author":"Mirik","year":"2011","journal-title":"Plant Dis."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s11119-007-9038-9","article-title":"Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging","volume":"8","author":"Huang","year":"2007","journal-title":"Precis. Agric."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1094\/PDIS-11-10-0831","article-title":"Remote sensing for assessing Rhizoctonia crown and root rot severity in sugar beet","volume":"96","author":"Reynolds","year":"2012","journal-title":"Plant Dis."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4951","DOI":"10.1080\/01431161.2013.783945","article-title":"Proximal sensing to detect symptoms associated with wheat curl mite-vectored viruses","volume":"34","author":"Stilwell","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","first-page":"295","article-title":"Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing","volume":"4","author":"Zhang","year":"2003","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.compag.2016.10.003","article-title":"Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards","volume":"130","author":"MacDonald","year":"2016","journal-title":"Comput. Electron. Agric."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1007\/s11119-010-9186-1","article-title":"Integration of optical and analogue sensors for monitoring canopy health and vigour in precision viticulture","volume":"11","author":"Mazzetto","year":"2010","journal-title":"Precis. Agric."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.isprsjprs.2014.02.013","article-title":"Unmanned aerial systems for photogrammetry and remote sensing: A review","volume":"92","author":"Colomina","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_26","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_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1079\/PAVSNNR20116027","article-title":"Detection and measurement of plant disease symptoms using visible-wavelength photography and image analysis","volume":"6","author":"Bock","year":"2011","journal-title":"CAB Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"87","DOI":"10.5344\/ajev.2009.60.1.87","article-title":"Nondestructive estimation of anthocyanin content in grapevine leaves","volume":"60","author":"Steele","year":"2009","journal-title":"Am. J. Enol. Viticult."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"779","DOI":"10.2134\/agronj2007.0254N","article-title":"A comparison of two techniques for nondestructive measurement of chlorophyll content in grapevine leaves","volume":"100","author":"Steele","year":"2008","journal-title":"Agron. J."},{"key":"ref_30","unstructured":"Blondlot, A., Gate, P., and Poilv\u00e9, H. (2005, January 9\u201312). Providing operational nitrogen recommendations to farmers using satellite imagery. Proceedings of the 5th European Conference on Precision Agriculture, Uppsala, Sweden."},{"key":"ref_31","unstructured":"Lacaze, R., Baret, F., Camacho, F., d\u2019Andrimont, R., Freitas, S.C., Pacholczyk, P., Poilv\u00e9, H., Smets, B., Tansey, K., and Wagner, W. (2011, January 10\u201314). Geoland2\u2014Towards an operational GMES land monitoring core service: The biogeophysical parameter core mapping service. Proceedings of the 34th International Symposium on Remote Sensing of Environment, Sydney, Australia."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"360","DOI":"10.2747\/1548-1603.47.3.360","article-title":"Comparison of MODIS fPAR products with Landsat-5 TM-derived fPAR over semiarid rangelands of Idaho","volume":"47","author":"Chen","year":"2010","journal-title":"GISci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5868","DOI":"10.3390\/rs6065868","article-title":"Investigating the relationship between the inter-annual variability of satellite-derived vegetation phenology and a proxy of biomass production in the Sahel","volume":"6","author":"Meroni","year":"2014","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"11525","DOI":"10.3390\/rs70911525","article-title":"Validation of a forage production index (FPI) derived from MODIS fCover time-series using high-resolution satellite imagery: Methodology, results and opportunities","volume":"7","author":"Jacquin","year":"2015","journal-title":"Remote Sens."},{"key":"ref_35","unstructured":"Poilv\u00e9, H. (2010). geoland2 BioPar Methods Compendium MERIS FR Biophysical Products, VITO. Technical Report BP-RP-BP038."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"S56","DOI":"10.1016\/j.rse.2008.01.026","article-title":"PROSPECT+ SAIL models: A review of use for vegetation characterization","volume":"113","author":"Jacquemoud","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/0034-4257(90)90100-Z","article-title":"PROSPECT: A model of leaf optical properties spectra","volume":"34","author":"Jacquemoud","year":"1990","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3030","DOI":"10.1016\/j.rse.2008.02.012","article-title":"PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments","volume":"112","author":"Asner","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.rse.2017.03.004","article-title":"PROSPECT-Dynamic: Modeling leaf optical properties through a complete lifecycle","volume":"193","author":"Noble","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/0034-4257(84)90057-9","article-title":"Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model","volume":"16","author":"Verhoef","year":"1984","journal-title":"Remote Sens. Environ."},{"key":"ref_41","unstructured":"Rouse, J., Haas, R.H., Schell, J.A., and Deering, D.W. (1973, January 10\u201314). Monitoring vegetation systems in the Great Plains with ERTS. Proceedings of the NASA Goddard Space Flight Center 3d ERTS-1 Symposium, Washington, DC, USA."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1562\/0031-8655(2001)074<0038:OPANEO>2.0.CO;2","article-title":"Optical properties and nondestructive estimation of anthocyanin content in plant leaves","volume":"74","author":"Gitelson","year":"2001","journal-title":"Photochem. Photobiol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"L11402","DOI":"10.1029\/2006GL026457","article-title":"Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves","volume":"33","author":"Gitelson","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1046\/j.1469-8137.1999.00424.x","article-title":"Assessing leaf pigment content and activity with a reflectometer","volume":"143","author":"Gamon","year":"1999","journal-title":"New Phytol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"685","DOI":"10.21273\/HORTSCI.40.3.685","article-title":"Nondestructive estimation of anthocyanin content in autumn sugar maple leaves","volume":"40","author":"Perkins","year":"2005","journal-title":"HortScience"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/S0034-4257(01)00289-9","article-title":"Novel algorithms for remote estimation of vegetation fraction","volume":"80","author":"Gitelson","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.3390\/rs2102369","article-title":"Applicability of green-red vegetation index for remote sensing of vegetation phenology","volume":"2","author":"Motohka","year":"2010","journal-title":"Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0034-4257(96)00072-7","article-title":"Use of a green channel in remote sensing of global vegetation from EOS-MODIS","volume":"58","author":"Gitelson","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_50","first-page":"1541","article-title":"Distinguishing vegetation from soil background information","volume":"43","author":"Richardson","year":"1977","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1080\/01431160110040323","article-title":"An assessment of support vector machines for land cover classification","volume":"23","author":"Huang","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2000","DOI":"10.1016\/j.rse.2008.01.008","article-title":"Modeling distribution of Amazonian tree species and diversity using remote sensing measurements","volume":"112","author":"Saatchi","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Collett, D. (1991). Modelling Binary Data, Chapman and Hall.","DOI":"10.1007\/978-1-4899-4475-7"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/S0034-4257(99)00044-9","article-title":"Towards the remote sensing of matorral vegetation physiology: Relationships between spectral reflectance, pigment, and biophysical characteristics of semiarid bushland canopies","volume":"70","author":"Blackburn","year":"1999","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/4\/308\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:31:13Z","timestamp":1760207473000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/4\/308"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,24]]},"references-count":56,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,4]]}},"alternative-id":["rs9040308"],"URL":"https:\/\/doi.org\/10.3390\/rs9040308","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,24]]}}}