Spectral Discrimination of Grape Varieties and a Search for Terroir Effects Using Remote Sensing
Satellite images are used to determine the reflectance dependency on wavelength in different grape varieties (cabernet sauvignon, merlot, pinot noir, and chardonnay). The terroir influence is investigated through a study of vineyards in France, Brazil and Chile. Statistical techniques
(ANOVA, cluster and discriminant analysis) are applied. Results indicate that there are consistent spectral features, mainly in the near infrared, which can lead to variety identification. Discriminant functions were derived; these separate grape varieties for the regions studied. Spectral
features are affected by terroir effects, since the reflectance spectra showed similarities between regions, specially for cabernet sauvignon; phenological factors, expressed by the NDVI, further contribute to variety differentiation. It is concluded that remote sensing data are effective
for terroir and grape variety studies.
Document Type: Research Article
Affiliations: 1: Instituto de Saneamento Ambiental, Universidade de Caxias do Sul, Rua Francisco Getúlio Vargas 1130, CEP 95070-560 Caxias do Sul, Brazil, Email: [email protected] 2: Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, and Departmento de Astronomia, Instituto de Física, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, CEP 91501-970 Porto Alegre, Brazil, Email: [email protected]
Publication date: 01 March 2011
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content