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dc.contributor.authorMarciniak, Matthieu
dc.date.accessioned2012-03-30T18:09:12Z
dc.date.available2012-03-30T18:09:12Z
dc.date.issued2012-03-30
dc.identifier.urihttp://hdl.handle.net/10464/3943
dc.description.abstractThe focus of this study was to detennine whether soil texture and composition variables were related to vine water status and both yield components and grape composition, and whether multispectral high definition airborne imagery could be used to segregate zones in vineyards to target fruit of highest quality for premium winemaking. The study took place on a 10-ha commercial Riesling vineyard at Thirty Bench Winemakers, in Beamsville (Ontario). Results showed that Soil moisture and leaf'l' were temporally stable and related to berry composition and remotely-sensed data. Remote-sensing, through the calculation of vegetation indices, was particularly useful to predict vine vigor, yield, fruit maturity as well as berry monoterpene concentration; it could also clearly assist in making wines that are more representative ofthe cultivar used, and also wines that are a reflection of a specific terroir, since calculated vegetation indices were highly correlated to typical Riesling.en_US
dc.publisherBrock Universityen_US
dc.subjectGlobal positioning systemen_US
dc.subjectGeographic information systemsen_US
dc.subjectRemote sensingen_US
dc.subjectTerroir -- Ontario -- Niagara Peninsulaen_US
dc.subjectWine and wine making -- Ontario -- Niagara Peninsulaen_US
dc.titleUsing GPS, GIS & remote sensing to understand Niagara Terroiren_US
dc.typeElectronic Thesis or Dissertationen_US
dc.degree.nameM.Sc. Biological Sciencesen_US
dc.degree.levelMastersen_US
dc.contributor.departmentDepartment of Biological Sciencesen_US
dc.degree.disciplineFaculty of Mathematics and Scienceen_US
refterms.dateFOA2021-08-07T02:50:07Z


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