Spectral characterization of necrosis from reflectance of eucalyptus globulus leaves with mycosphaerella leaf disease or subjected to artificial lesions

International Journal of Remote Sensing

Volumn 32, Issue 24, 2011, Pages 9243-9259

  Barry, Karen M ^a,b   Corkrey, Ross ^b   Hoaphamthi, H ^c,d   Ridge, Stephen ^a,b   Mohammed, Caroline L ^a,b  

^a UNIVERSITY OF TASMANIA   (Australia)

^b University of Tasmania   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d Lam Dong Plant Protection Sub Department   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DAMAGE DETECTION; FORESTRY; PLANTS (BOTANY); REMOTE SENSING; SENSITIVITY ANALYSIS; SPECTROSCOPY; SPECTRUM ANALYZERS;

EUCALYPTUS GLOBULES; EUCALYPTUS GLOBULUS; FOREST HEALTH MONITORING; MULTIVARIATE METHODS; SPECTRAL CHARACTERIZATION; SPECTRAL SENSITIVITY; TREATMENT GROUP; VEGETATION INDEX;

CHLOROPHYLL;

DISEASE; LEAF; MULTIVARIATE ANALYSIS; PLANT; REFLECTANCE; REMOTE SENSING; SENSITIVITY ANALYSIS; SPECTRAL ANALYSIS; VEGETATION INDEX;

CHLOROPHYLLS; CHLOROSIS; FOLIAR ANALYSIS; FORESTRY; REMOTE SENSING; SENSITIVITY; SPECTROSCOPY;

EUCALYPTUS; EUCALYPTUS GLOBULUS; MYCOSPHAERELLA; TERATOSPHAERIA;

EID: 82155170628     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.550948     Document Type: Article

References (37)

1. BARRY, K.M., CORKREY, S.R., STONE, C. and MOHAMMED, C.L., 2010, Characterizing eucalypt leaf phenology and stress with spectral analysis. In Innovations in Remote Sensing and Photogrammetry, S. Jones and K. Reinke (Eds.), pp. 193-210 (Berlin: Springer-Verlag).
2. BARRY, K.M., NEWNHAM, G. and STONE C, 2009, Evaluation of PROSPECT 3 and 4 to estimate chlorophyll content in juvenile and adult Eucalyptus globulus leaves. Agricultural and Forest Meteorology, 149, pp. 1209-1213.
3. BARRY, K.M., STONE, C. and MOHAMMED, C.L., 2008, Crown-scale evaluation of spectral indices for defoliated and discoloured eucalypts. International Journal of Remote Sensing, 29, pp. 47-69.
4. CARNEGIE, A.J., KEANE, P.J., ADES, P.K. and SMITH, I.W., 1994, Variation in susceptibility of Eucalyptus globulus provenances to Mycosphaerella leaf disease. Canadian Journal of Forest Research, 24, pp. 1751-1757.
5. CARTER, G.A., 1993, Responses of leaf spectral reflectance to plant stress. American Journal of Botany, 80, pp. 239-243.
6. CARTER, G.A., 1994, Ratios of leaf reflectance in narrow wavebands as indictors of plant stress. International Journal of Remote Sensing, 15, pp. 697-703.
7. CROUS, P.W., BRAUN, U. and GROENEWALD, J.Z., 2007, Mycosphaerella is polyphyletic. Studies in Mycology, 58, pp. 1-32.
8. DATT, B., 1999, Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves. International Journal of Remote Sensing, 20, pp. 2741-2759.
9. DAWSON, T.P. and CURRAN, P.J., 1998, A new technique for interpolating the reflectance red edge position. International Journal of Remote Sensing, 19, pp. 2133-2139.
10. DELALIEUX, S., VAN AARDT, J., KEULEMANS, W., SCHREVENS, E. and COPPIN, P., 2007, Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: non-parametric statistical approaches and physiological implications. European Journal of Agronomy, 27, pp. 130-143.
11. DELL, B., MALAJCZUK, N., XU, D. and GROVE, T.S. (Eds.), 2002, Nutrient Disorders in Plantation Eucalypts (Canberra: ACIAR)
12. DEMETRIADES-SHAH, T.H., STEVEN, M.D. and CLARK, J.A., 1990, High resolution derivative spectra in remote sensing. Remote Sensing of Environment, 33, pp. 55-64.
13. GAMON, J.A., FIELD, C.B., BJÖRKMAN, O., FREDEEN, A.L. and PEÑUELAS, J., 1990, Remote sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies. Oecologia, 85, pp. 1-7.
14. GITELSON, A.A., MERZLYAK, M.N. and CHIVKUNOVA, O.B., 2001, Optical properties and nondestructive estimation of anthocyanin content in plant leaves. Photochemistry and Photobiology, 74, pp. 38-45.
15. HASTIE, T., BUJA, A. and TIBSHIRANI, R., 1995, Penalized discriminant analysis. The Annals of Statistics, 23, pp. 73-102.
16. KAVZOGLU, T. and MATHER, P.M., 2002, The role of feature selection in artificial neural network applications. International Journal of Remote Sensing, 23, pp. 2919-2937.
17. KEMSLEY, E.K., 1996, Discriminant analysis of high-dimensional data: a comparison of principal components analysis and partial least squares data reduction methods. Chemometrics and Intelligent Laboratory Systems, 33, pp. 47-61.
18. LECKIE, D.G., JAY, C., GOUGEON, F.A., STURROCK, R.N. and PARADINE, D., 2004, Detection and assessment of trees with Phellinus weirii (laminated root rot) using high resolution multi-spectral imagery. International Journal of Remote Sensing, 25, pp. 793-818.
19. LICHTENTHALER, H.K., 1996, Vegetation stress: an introduction to the stress concept in plants. Journal of Plant Physiology, 148, pp. 4-14.
20. MACCIONI, A., AGATI, G. and MAZZINGHI, P., 2001, New vegetation indices for remote sensing of chlorophylls based on leaf directional reflectance spectra. Journal of Photochemistry and Photobiology B: Biology, 61, pp. 52-61.
21. MOHAMMED, C., WARDLAW, T., SMITH, A.H., PINKARD, E.A., BATTAGLIA, M., GLEN, M., TOMMERUP, I.C., POTTS, B.M. and VAILLANCOURT, R.E., 2004, Mycosphaerella leaf disease of the temperate eucalypts around the southern pacific rim. New Zealand Journal of Forest Science, 33, pp. 362-372.
22. NILSSON, H. and JOHNSSON, L., 1996, Hand-held radiometry of barley infected by barley stripe disease in a field experiment. Journal of Plant Disease and Protection, 103, pp. 517-526.
23. NUTTER, F.W., 1989, Detection and measurement of plant disease gradients in peanut with a multispectral radiometer. Phytopathology, 79, pp. 958-963.
24. PARK, R.F., KEANE, P.J., WINGFIELD, M.J. and CROUS, P.W., 2000, Fungal diseases of eucalypt foliage. In Diseases and Pathogens of Eucalypts, P.J. Keane, G.A. Kile, F.D., Podger and B.N. Brown (Eds.), pp. 153-239 (Collingwood, Victoria: CSIRO Publishing).
25. PEÑUELAS, J. and INOUE, Y., 1999, Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves. Photosynthetica, 36, pp. 355-360.
26. PETHYBRIDGE, S.J., HAY, F.S., ESKER, P., WILSON, C.R. and NUTTER JR, F.W., 2007, Use of a multispectral radiometer for noninvasive assessment of foliar disease caused by ray blight in pyrethrum. Plant Disease, 91, pp. 1397-1406.
27. PHAM THI, H., 2008, Chemical control of mycosphaerella leaf disease (MLD) in Eucalyptus globulus plantations in the Otway Ranges. MSc thesis, University of Melbourne, Melbourne, Victoria.
28. PIETRZYKOWSKI, E., SIMS, N., STONE, C., PINKARD, E. and MOHAMMED, C., 2008, Predicting Mycosphaerella leaf disease severity in a Eucalyptus globulus plantation using Digital Multi-Spectral Imagery. Southern Hemisphere Journal of Forestry, 69, pp. 175-182.
29. PIETRZYKOWSKI, E., STONE, C., PINKARD, E. and MOHAMMED, C., 2006, Spectral characterization of Eucalyptus globulus foliage infected with Mycosphaerella spp. leaf blight. Forest Pathology, 36, pp. 334-348.
30. PONTIUS, J., HALLETT, R.A. and MARTIN, M.E., 2005, Assessing hemlock decline using visible and near-infrared spectroscopy: indices comparison and algorithm development. Applied Spectroscopy, 59, pp. 836-843.
31. RENZULLO, L.J., BLANCHFIELD, A.L. and POWELL, K.S., 2006, A method of wavelength selection and spectral discrimination of hyperspectral reflectance spectrometry. IEEE Transactions on Geoscience and Remote Sensing, 44, pp. 1986-1994.
32. SMITH, A.H., GILL, W.M., PINKARD, E.A. and MOHAMMED, C.L., 2007, Anatomical and histochemical defence responses induced in juvenile leaves of Eucalyptus globulus and Eucalyptus nitens by Mycosphaerella infection. Forest Pathology, 37, pp. 361-373.
33. STONE, C., CHISHOLM, L.A. and MCDONALD, S., 2003, Spectral reflectance characteristics of Pinus radiata affected by Dothistroma needle blight. Canadian Journal of Botany, 81, pp. 560-569.
34. STONE, C., CHISHOLM, L. and MCDONALD, S., 2005, Effects of leaf age and psyllid damage on the spectral reflectance properties of Eucalyptus saligna foliage. Australian Journal of Botany, 53, pp. 45-54.
35. THOMSON, A.J., GOODENOUGH, D.G., BARCLAY, H.J., LEE, Y.J. and STURROCK, R.N., 1996, Effects of laminated root rot (Phellinus weirii) on Douglas-fir foliar chemistry. Canadian Journal of Forest Research, 26, pp. 1440-1445.
36. TIBSHIRANI, R., 1996, Regression shrinkage and selection via the lasso. Journal of the Royal Statistics Society B, 58, pp. 267-288.
37. WANG, X., ZHANG, M., ZHU, J. and GENG, S., 2008, Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN). International Journal of Remote Sensing, 29, pp. 1693-1706.