Comparison of the information power of multispectral imaging and high-resolution spectroscopy in the remote sounding of vegetation cover

1Kochubei, SM
1Institute of Plant Physiology and Genetics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
Kosm. nauka tehnol. 1999, 5 ;(2):41–48
Section: Study of the Earth from Space
Publication Language: Russian
Imitation models were used to study the distortions in the chlorophyll content estimates calculated from reflectance spectra of pumpkin leaves depending on some optical parameters of measured sample and parameters of spectral device: proective cover, soil reflectance, the level of chlorophyll concentration in leaves, light filter characteristics (half-width, passband profile, intensity at maximum, signal-to-noise ratio). These results were compared to those obtained with spec-tometers with high spectral resolution. The accuracy of chlorophyll estimates with multispectral devices is shown to be very sensitive to optical heterogeneity of objects and tolerant to the level of high frequency noises. The information obtained with spectrometers of high spectral resolution is sensitive to noise level, spectral resolution, and algorithm of data treatment. The deviations of calculated chlorophyll concentrations from those determined by the chemical method depend on proective cover, soil reflectance, and chlorophyll concentration in measured leaves.
Keywords: chlorophyll, imitation models, remote sounding
1. Kochubey S. M., Kobets N. I., Shadchina T. M. Spectral Properties of Plants as a Basis for the Methods of Remote Diagnostic, 136 p. (Naukova dumka, Kiev, 1990) [in Russian].
2. Korobkov M. E., Kochubei S. M. Method for evaluating the size of the step in the computer differentiation of spectral curves. Journal of Applied Spectroscopy, 22 (6), 1093—1097 (1975) [in Russian].
3. Kochubei S. M., Shadchina T. M. Method for remote determination of chlorophyll content is leaves of plant monoculture. Pat.Ukrainy No. 10370, MPK: G01N 21/25, published 25.12.1996 [in Ukrainian].
4. Suraev V. F., Kochubei S. M. Accuracy of the digital differentiation of experimentally measured spectral contours. Journal of Applied Spectroscopy, 42 (4), 627—631 (1985) [in Russian].
5. Shevchenko O. V., Kochubei S. M. Changes in the structural organization of the pigment apparatus of winter wheat leaves during different phases of vegetation. Fiziologiya Rastenii, 40 (5), 749—753 (1993) [in Russian].
6. Goetz A. F. High resolution imaging spectrometer (HIRIS): Science and instrument. Int. J. Imaging Systems and Technology, 3, 131 — 143 (1991).
7. Hinzman L. D., Bauer V. E., Daughtry C. S. T. Effects of nitrogen fertilization on growthy and reflectance characteristics of winter wqheat. Rem. Sens. Enviroin, 19 (1), 47—61 (1986).

8. Miller J. R., Hare E. W. Imaging spectrometry as a tool for botanical mapping. Proc. Int. Soc. Opt. Eng. Vol. 834. Imaging Spectroscopy II, Ed. G. Vane, 20—21 August 1987, 108—113 (San Diego, 1987).