The use of derivative vegetation indices for the elimination of interferences caused by soil reflection in remote sensing of vegetative cover

Heading: 
Study of the Earth from Space
1Kochubey, SM, 2Kazantsev, TA, 3Donets, VV
1Institute of Plant Physiology and Genetics of the National Academy of Sciences of Ukraine, Kyiv
2Institute of Plant Physiology and Genetics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
3Corporation «Research and Production Enterprise «Arsenal», Kyiv, Ukraine
Kosm. nauka tehnol. 2008, 14 ;(3):069-074
https://doi.org/10.15407/knit2008.03.069
Publication Language: Russian
Abstract: 
Effectiveness of derivative vegetation index for chlorophyll estimation in oil-vegetation systems with incomplete soil covering was tested. We measured reflectance spectra for the model systems consisting of plant leaves with various chlorophyll content and soil with various brightness. Distinctions between chlorophyll values estimated for 25 % and 100 % soil covering did not significantly exceed the error of regression formula used for the chlorophyll estimation. Our results prove the capability of the proposed approach for testing crops with a low level of soil covering. The field reflectance measurements of crops with various growing density confirm the laboratory results.
Keywords: chlorophyll, density, regression formula
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References: 
1. Kochubei S. M. Comparison of the information power of multispectral imaging and high-resolution spectroscopy in the remote sounding of vegetation cover. Kosm. nauka tehnol., 5 (2-3), 41—48 (1999) [in Russian].
2. Kochubei S. M. Estimation of the main characteristics of agricultural crops from reflectance spectrum of vegetation in the optical range. Kosm. nauka tehnol., 9 (5-6), 185—190 (2003) [in Russian].
3. Shadchina T. M. Scientific bases of remote monitoring of grain crops state, 220 p. (Phytosociocentre, Kiev, 2001) [in Ukrainian].
4. Arnon D. I. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiol., 24, 1 — 15 (1949).
https://doi.org/10.1104/pp.24.1.1
5. Jacquemoud S., Bacour C, Polive H., Frangi J.-P. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. Remote Sens. Environ., 74, 471—481 (2000).
https://doi.org/10.1016/S0034-4257(00)00139-5
6. Kochubey S. M., Bidyuk P. I. A Novel Approach to remote sensing of vegetation. Proc. SPIE, 5093, 181 — 188 (2003).
https://doi.org/10.1117/12.486023
7. Kochubey S., Kazantsev T. Changes in the first derivatives of leaf reflectance spectra of various plants induced by variations of chlorophyll content. J. Plant Physiol., 164 (12), 1648—1655 (2007).
https://doi.org/10.1016/j.jplph.2006.11.007
8. Kochubey S. M., Yatsenko V. A. Monitoring system for agricultural crops on chlorophyll basis. Proc. SPIE, 5232, 92—99 (2000).
https://doi.org/10.1117/12.512074
9. Savitzky A., Golay M. Smoothing and differentiation of data by simplified least squares procedures. Analyt. Chem., 36 (8), 1627—1639 (1964).
https://doi.org/10.1021/ac60214a047
10. Sims D. A., Gamon J. A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ., 81, 337—354 (2002).
https://doi.org/10.1016/S0034-4257(02)00010-X
11. Yatsenko V., Kochubey S., Donets V., Kazantsev T. Hardware software complex for chlorophyll estimation in phytocenoses under field conditions. Proc. SPIE, 5964, 267—270 (2005).
https://doi.org/10.1117/12.624922

12. Zarco-Tejada P. J., Miller J. R. , Harron J., et al. Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies. Remote Sens. Environ., 89 (2), 189— 199 (2004).