Spectral characterization of Australian arid zone plants

Canadian Journal of Remote Sensing

Volumn 28, Issue 2, 2002, Pages 219-230

  Lewis, Megan ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; INFRARED RADIATION; PLANTS (BOTANY); PRINCIPAL COMPONENT ANALYSIS;

ARID ZONE PLANTS;

ARID REGIONS;

EID: 0242291031     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m02-023     Document Type: Article

References (33)

1. Asner, G., Wessman, C., Schimel, D., and Archer, S. 1998. Variability in leaf and litter optical properties: implications for BRDF model inversions using AVHRR, MODIS and MISR. Remote Sensing of Environment, Vol. 63, pp. 243-257.
2. Billings, W.D., and Morris, R.J. 1951. Reflection of visible and infrared radiation from leaves of different ecological groups. American Journal of Botany, Vol. 38, pp. 327-331.
3. Card, D.H., Peterson, D.L., Matson, P.A., and Aber, J.D. 1988. Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy. Remote Sensing of Environment, Vol. 26, pp. 123-147.
4. Carter, G.A. 1994. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal ofRemote Sensing, Vol. 15, pp. 697-703.
5. Clark, R.N., Swayze, G.A., Koch, C., and Ager, C. 1992. Mapping vegetation types with the multiple spectral feature mapping algorithm in both emission and absorption. In Summaries of the 3rd Annual JPL Airborne Geoscience Workshop, AVIRIS Workshop, 1-5 June 1992. Jet Propulsion Laboratory Publication 92-14, NASA/JPL, Pasadena, Calif., Vol. 1, pp. 60-62.
6. Cochrane, M.A. 2000. Using vegetation reflectance variability for species level classification of hyperspectral data. International Journal of Remote Sensing, Vol. 21, pp. 2075-2087.
7. Ehleringer, J. 1981. Leaf absorptances of Mohave and Sonoran Desert plants. Oecologia, Vol. 49, pp. 366-370.
8. Gamon, J.A., Penuelas, J., and Field, C.B. 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment, Vol. 41, pp. 35-44.
9. Gates, D.M., Keegan, H.J., Schleter, J.C., and Weidner, V.R. 1965. Spectral properties of plants. Applied Optics, Vol. 4, pp. 11-20.
10. Gausman, H., and Allen, W. 1973. Optical parameters of leaves of 30 plant species. Plant Physiology, Vol. 52, pp. 57-62.
11. Gong, P., Pu, R., and Yu, B. 1997. Conifer species recognition: an exploratory analysis of in situ hyperspectral data. Remote Sensing of Environment, Vol. 62, pp. 189-200.
12. Hurcom, S.J., Harrison, A.R., and Taberner, M. 1996. Assessment of biophysical properties through spectral decomposition techniques. Remote Sensing of Environment, Vol. 56, pp. 203-214.
13. Jackson, R.D. 1983. Spectral indices in n-space. Remote Sensing of Environment, Vol. 13, pp. 409-421.
14. Kauth, R.J., and Thomas, G.S. 1976. The tasselled cap — a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. In Proceedings of the 3rd Symposium on Machine Processing of Remotely Sensed Data, 29 June - 1 July, Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, Ind., pp. 41-51.
15. Klecka, W.R. 1980. Discriminant analysis. Sage Publications, Beverly Hills, Calif.
16. Knipling, E. 1970. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation. Remote Sensing of Environment, Vol. 1, pp. 55-159.
17. Kumar, L., and Skidmore, A.K. 1998. Use of derivative spectroscopy to identify regions of differences between some Australian Eucalypt species. In Proceedings of the 9th Australasian Remote Sensing and Photogrammetry Conference, 20-24 July, Sydney, Paper 81. CD-ROM, Casual Productions, Adelaide, Australia.
18. McDonald, B.C.T. 2000. University of New South Wales Fowlers Gap Arid Zone Research Station — nearly 50 years of research. The Rangeland Journal, Vol. 22, pp. 5-31.
19. Miller, J., Wu, J., Boyer, M., Belanger, M., and Hare, E. 1991. Seasonal patterns in leaf reflectance red-edge characteristics. International Journal of Remote Sensing, Vol. 12, pp. 1509-1523.
20. O’neill, A. 1994. Reflectance characteristics of chenopod shrublands in semiarid Australia. Ph.D. thesis, School of Geography, University of New South Wales, Sydney.
21. O’neill, A.L., Hardy, S., Fraser, S.J., and McCloy, K.R. 1990. Leaf morphology and the spectral reflectance of some Australian plant species. In Proceedings of the 5th Australasian Remote Sensing Conference, 8-12 Oct. 1990, Perth, Western Australia, Vol. 2, pp. 1096-1103.
22. Palacios-Orueta, A., and Ustin, S. 1996. Multivariate statistical classification of soil spectra. Remote Sensing of Environment, Vol. 57, pp. 108-118.
23. Pearman, G.I. 1966. The reflection of visible radiation from leaves of some Western Australian plants. Australian Journal of Biological Science, Vol. 19, pp. 97-103.
24. Penuelas, J., Gamon, J.A., Fredeen, A.L., Merino, J., and Field, C.B. 1994. Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves. Remote Sensing of Environment, Vol. 48, pp. 135-146.
25. Peterson, D.L., Aber, J.D., Matson, P.A., Card, D.H., Swanberg, N., Wessman, C., and Spanner, M. 1988. Remote sensing of forest canopy and leaf biochemical contents. Remote Sensing ofEnvironment, Vol. 24, pp. 85-108.
26. Price, J.C. 1994. How unique are spectral signatures? Remote Sensing of Environment, Vol. 49, pp. 181-186.
27. Satterwhite, M.B., and Henley, J.P. 1987. Spectral characteristics of selected soils in northern Nevada and their discrimination using band ratio techniques. Remote Sensing of Environment, Vol. 23, pp. 155-175.
28. Seber, G.A.F. 1984. Multivariate observations. John Wiley & Sons, Inc., New York.
29. Sinclair, R., and Thomas, D.A. 1970. Optical properties of leaves of some species in arid South Australia. Australian Journal of Botany, Vol. 18, pp. 261-73.
30. Skidmore, A.K., and Schmidt, K. 1998. Identification of Kenyan rangeland grasses using hyperspectral image data. In Proceedings of the 9th Australasian Remote Sensing and Photogrammetry Conference, 20-24 July, Sydney, Paper 28. CD-ROM, Casual Productions, Adelaide, Australia.
31. Ustin, S.L., Sanderson, E.W., Grossman, Y., Hart, Q.J., and Haxo, R.S. 1993. Relationships between pigment composition variation and reflectance for plant species from a coastal savannah in California. In Summaries ofthe 4th Annual JPL Airborne Geoscience Workshop, AVIRIS Workshop, 25-29 Oct. 1993. Jet Propulsion Laboratory Publication 93-28, NASA/JPL, Pasadena, Calif., Vol. 1, pp. 181-184.
32. Verdebout, J., Jacquenoud, S., Andreoli, G., Hosgood, B., and Sieber, A. 1993. Investigations on the 1.7 p pm residual absorption feature in the vegetation reflection spectrum. In Summaries of the 4th Annual JPL Airborne Geoscience Workshop, AVIRIS Workshop, 25-29 Oct. 1993. Jet Propulsion Laboratory Publication 93-28 NASA/JPL, Pasadena, Calif., Vol. 1, pp. 189-192.
33. Wilkinson, L., Hill, M., Welma, J.P., and Birkenbeul, G.K. 1992. SYSTAT. SPSS Inc., Chicago, Ill.