Using GPS, GIS & remote sensing to understand Niagara Terroir

The 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.

Name thesis:degree_name

M.Sc. Biological Sciences

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Faculty of Mathematics and Science

Department dc:contributor.department

Department of Biological Sciences

Grantor

Brock University

Year dc:date.issued

2012

Author dc:creator

• Marciniak, Matthieu

• Global positioning system
• Geographic information systems
• Remote sensing
• Terroir -- Ontario -- Niagara Peninsula
• Wine and wine making -- Ontario -- Niagara Peninsula

Handle dc:identifier.uri

http://hdl.handle.net/10464/3943

OAI identifier oai:identifier

oai:brocku.scholaris.ca:10464/3943