Insights into the early detection of grapevine phylloxera from in situ hyperspectral data

Acta Horticulturae

Volumn 733, Issue , 2007, Pages 59-74

  Renzullo, L J ^a,b   Blanchfield, A L ^a,c   Powell, K S ^a,c  

^a Adelaide Laboratory   (Australia)

^b CSIRO   (Australia)

^c Primary Industries Research Victoria   (Australia)

Author keywords

Grapevine phylloxera; Hyperspectral reflectance spectrometry

Indexed keywords

PHYLLOXERA; VITIS;

EID: 70350178380     PISSN: 05677572     EISSN: None     Source Type: Book Series    
DOI: 10.17660/ActaHortic.2007.733.6     Document Type: Conference Paper

References (21)

1. ASD. 2005. http://www.asdi.com/products-specifications-FSP.asp Carter, G.A. 1993. Responses of leaf spectral reflectances to plant stress. Amer. J. Botany. 80:239-243.
2. Clark, R.N., Swayne, G.A., Livo, K.E., Kokaly, R.F., Sutley, S.J., Dalton, J.B., McDougal, R.R. and Gent, C.A. 2003. Imaging spectroscopy: earth and planetary remote sensing with the USGS Tetracorder and expert systems. J. Geophys. Res. 108:5.1-5.44.
3. Edwards, J. 2003. Identification of phylloxera, the grapevine pest, using high resolution Infrared Aerial Imagery. MSc Diss, Adelaide University, Australia, p.56.
4. Efron, B. and Tibshirani, R. 1993. An Introduction to the Bootstrap. Chapman and Hall, London. GenStat, 2005. http://www.vsn-intl.com/genstat/gsprod- details.htm.
5. Hastie, T., Buja, A. and Tibshirani, R. 1995. Penalized discriminant analysis. Ann. Stat. 23:73-102.
6. Held, A. 2001. Grape "health" monitoring using imaging Spectroscopy: Results of a pilot study. CSIRO Land and Water, Ball AIMS, and DPI Internal Report.
7. Hoerl, A.E. and Kennard, R. 1970. Ridge regression: biased estimation for nonorthogonal problems. Technometrics. 12:55-67.
8. Hsu, P.-H. 2003. Spectral featured extraction of hyperspectral images using wavelet transform. PhD Diss., Department of Surveying Engineering, National Cheng Kung University, Tainan, Taiwan, p.146.
9. Jacquemoud, S. and Baret, F. 1990. PROSPECT: A model of leaf optical properties spectra, Rem. Sens. Environ. 34:75-91.
10. Lobitz, B., Johnson, L., Armstrong, R., Hlavka, C. and Bell, C. 1997. Grapevine remote sensing analysis of phylloxera early stress (GRAPES): Remote sensing analysis summary. NASA Tech. Memo No. 112218.
11. London, A. 2004. Personal communication. Email from Angela London, Phylloxera and Grape Industry Board of South Australia.
12. Peterson, D.L. and Johnson, L.F. 2000. The application of earth science findings to the practical problems of growing winegrapes. Geog. Inf. Sci. 6:181-187.
13. Powell, K.S., Burns, A.B. and Bedirian, R. 2003. Targeted phylloxera management options. Final report on project DNR 00/3 to Grape and Wine Research and Development Corporation (GWRDC), September 2003. p.165.
14. Renzullo, L., Held, A., Powell, K.S. and Blanchfield, A.L. 2004. Remote sensing phylloxera infestation: current capabilities and future possibilities for early detection. Austral. NZ Grapegrower & Winemak. 32nd Annu. Tech. Iss.:126-130.
15. Renzullo, L.J., Blanchfield, A.L., Guillermin, R., Powell, K.S. and Held, A.A. 2006. Comparison of Prospect and HPLC estimates of leaf chlorophyll contents in a grapevine stress study. Intl. J. Rem. Sens. 27(3-4):817-823.
16. Renzullo, L.J., Blanchfield, A.L. and Powell, K.S. 2006. A method of wavelength selection and spectral discrimination of hyperspectral reflectance spectrometry. IEEE Trans. Geosci. Rem. Sens. 44(7):1986-1994.
17. Tibshirani, R. 1996. Regression shrinkage and selection via the Lasso. J. Royal Stat. Soc. Series B. 58:267-288.
18. Tsai, F. and Philpot, W. 1998. Derivative analysis of hyperspectral data. Rem. Sens. Environ. 66:41-51.
19. Zarco-Tejada, P., Miller, J.R., Mohammed, G.H. and Noland, T.L. 2000. Chlorophyll fluorescence effects on vegetation apparent reflectance: I. Leaf-level measurements and model simulation. Rem. Sens. Environ. 75:582-595.
20. Zarco-Tejada, P.J., Miller, J.R., Mohammed, G.H., Noland, T.L. and Sampson, P.H. 2002. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. J. Environ. Qual. 31:1433-1441.
21. Zarco-Tejada, P.J., Pushnik, J.C., Dobrowski, S. and Ustin, S.L. 2003. Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and doublepeaked red-edge effects. Rem. Sens. Environ. 84:283-294.