Relation of ground-sensor canopy reflectance to biomass production and grape color in two merlot vineyards

American Journal of Enology and Viticulture

Volumn 57, Issue 4, 2006, Pages 415-422

  Stamatiadis, Stamatis ^a   Taskos, Dimitris ^b   Tsadilas, Christos ^c   Christofides, Calliopi ^a   Tsadila, Eleftheria ^a   Schepers, James S ^d  

^a Goulandris Natural History Museum   (Greece)

^b Goumenissa Winery   (Greece)

^c INSTITUTE OF TECHNOLOGY OF AGRICULTURAL PRODUCTS   (Greece)

^d UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Grape anthocyanins; Grape phenols; NDVI; Topography; WDRVI

Indexed keywords

VITACEAE;

EID: 33846467618     PISSN: 00029254     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. Bergqvist, J., N. Dokoozlian, and N. Ebisuda. 2001. Sunlight exposure and temperature effects on berry growth and composition of Cabernet Sauvignon and Grenache in the Central San Joaquin Valley of California. Am. J. Enol. Vitic. 52:1-7.
2. Carbonneau, A. 1996. General relationship within whole plant: Examples of the influence of vigour status, crop load, and canopy exposure on the sink 'berry maturation' for the grapevine. Acta Hortic. 427:99-118.
3. Clingeleffer, P.R., and K.L. Sommer. 1994. Vine development and vigour control. In ASVO Seminar Proceedings: Canopy Management. P. Hayes (Ed.), pp. 7-17. Australian Society of Viticulture and Œnology, Adelaide.
4. Dobrowski, S.Z., S.L. Ustin, and J.A. Wolpert. 2003. Grapevine dormant pruning weight prediction using remotely sensed data. Aust. J. Grape Wine Res. 9:177-182.
5. Downey, M.O., J.S. Harvey, and S.P. Robinson. 2004. The effect of bunch shading on berry development and flavonoid accumulation in Shiraz grapes. Aust. J. Grape Wine Res. 10:55-73.
6. Gitelson, A.A. 2004. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J. Plant Physiol. 161:165-173.
7. Gitelson, A.A., Y.J. Kaufman, R. Stark, and D.C. Rundquist. 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 80:76-87.
8. Gitelson, A.A., A. Vina, T.J. Arkebauer, D.C. Rundquist, G.P. Keydan, and B. Leavitt. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophys. Res. Lett. 30(5):1248.
9. Glories, Y. 1978. Recherches sur la métier colorante des vins rouges. Thèse doctorat d'Etat, Université de Bordeaux II, Talence.
10. Jackson, R.S. 2000. Wine Science: Principles, Practice, Perception. Academic Press, San Diego.
11. Johnson, L.F. 2003. Temporal stability of an NDVI-LAI relationship in a Napa Valley vineyard. Aust. J. Grape Wine Res. 9:96-101.
12. Johnson, L.F., D.E. Roczen, S.K. Youkhana, R.R. Nemani, and D.F. Bosch. 2003. Mapping vineyard leaf area with multispectral satellite imagery. Comput. Electron. Agric. 38:33-44.
13. Kliewer, W.M., and N.K. Dokoozlian. 2005. Leaf area/crop weight ratios of grapevines: Influence on fruit composition and wine quality. Am. J. Enol. Vitic. 56:170-181.
14. Lamb, D.W. 2004. Remote sensing technologies for the grape and wine industry. In Remote Sensing for Agriculture and the Environment. S. Stamatiadis et al. (Eds.), pp. 226-236. Peripheral Publications, Larissa, Greece.
15. Lamb, D.W., M.M. Weedon, and R.G.V. Bramley. 2004. Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: Timing observations against vine phenology and optimising image resolution. Aust. J. Grape Wine Res. 10:46-54.
16. Mabrouk, H., and H. Sinoquet. 1998. Indices of light microclimate and canopy structure of grapevines determined by 3D digitising and image analysis, and their relationship to grape quality. Aust. J. Grape Wine Res. 4:2-13.
17. Myneni, R.B., R.R. Nemani, and S.W. Running. 1997. Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Trans. Geosci. Remote Sens. 35:1380-1393.
18. Pirie, A.J.G., and M.G. Mullins. 1980. Concentration of phenolics in the skin of grape berries during fruit ripening and development. Am. J. Enol. Vitic. 31:34-36.
19. Ribéreau-Gayon, P., and E. Stonestreet. 1965. Le dosage des anthocyanes dans les vins rouges. Bull. Soc. Chim. 9:2649-2652.
20. Smart, R., and M. Robinson. 1991. Sunlight into Wine. A Handbook for Winegrape Canopy Management. Winetitles, Adelaide.
21. Spayd, S.E., J.M. Tarara, D.L. Mee, and J.C. Ferguson. 2002. Separation of sunlight and temperature effects on the composition of Vitis vinifera cv. Merlot berries. Am. J. Enol. Vitic. 53:171-182.
22. Stamatiadis, S., C. Tsadilas, and J.S. Schepers. 2004. Real-time crop sensors. In Remote Sensing for Agriculture and the Environment. S. Stamatiadis et al. (Eds.), pp. 128-135. Peripheral Publications, Larissa, Greece.
23. Vina, A., A.A. Gitelson, D.C. Rundquist, G. Keydan, B. Leavitt, and J.S. Schepers. 2004. Monitoring maize (Zea mays L.) phenology with remote sensing. Agron. J. 96:1139-1147.