Study of vegetation red edge indices of reflectance spectra for crops of winter wheat cultivated in the steppe zone of Ukraine

1Zholobak, GM, 1Shportiuk, ZM, 1Sibirtseva, ON, 2Dugin, SS
1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
2State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
Kosm. nauka tehnol. 2012, 18 ;(4):45–51
https://doi.org/10.15407/knit2012.04.045
Publication Language: Ukrainian
Abstract: 
We give some results of spectrometry surveying with ASD FieldSpec®3FR for small-plot crops of the demonstration test site of the elite seminal enterprise «Zolotyi Kolos» in the Mykolaiv Region. On the basis of these results, vegetation red edge indices (REP, TCI, NDVI705) are calculated for 19 cultivars of hard red winter wheat (Triticum aestivum L.) and 4 cultivars of winter durum wheat (Triticum durum Desf.). The lowest values of indices are detected for awnless hard red winter whe at var. lutescens and the highest ones are seen for winter durum wheat var. hordeiforme. We discuss a wide range of oscillations of values for vegetation red edge indices in the case of winter wheat var. lutescens
Keywords: vegetation red edge indices, winter durum wheat.
References: 
1. Donets V.V. Substantiation of the Structure of hardware-software for remote sensing of vegetation in the field: Extended abstract of candidate’s thesis, 22 p. (Kyiv, 2010) [in Ukrainian].
2. Kazantsev T.A., Tumenok L.V., Kochubey S.M. Remote measurements of dynamics of chlorophyll content in wheat crops. Fiziol. i biohim. kul't. rastenij, 42 (6), 544—549 (2010) [in Russian].
3.  Kochubej S. M., Kazancev T. A, Donec V. V. et al. Hyperspectral hardware-software complex and informative opportunities in remote sensing of vegetation. Modern space technology: Proceedings Kazakh-Ukrainian conf., Almaty, October, 7—9, 2008, P. 28—30 (Almaty, 2008) [in Russian].
4. Lyalko V. I., Shportjuk Z. M., Sakhatsky A. I., et al. Comparison of satellite and ground-based hyperspectral data for the red edge position estimation. Kosm. nauka tehnol., 16 (3), 39—45 (2010) [in Ukrainian].
https://doi.org/10.15407/knit2010.03.039
5. Lyalko V. I., Shportjuk Z. M., Sibirtseva O. N., et al. Exploration of the variances for red edge indices of wheat reflectance over the gas field. Kosm. nauka tehnol., 16 (6), 5—10 (2010) [in Ukrainian].
https://doi.org/10.15407/knit2010.06.005
6. Pryadkina G. O. Ontogenetic dynamics parameters of the photosynthetic apparatus of winter wheat grain productivity of different genotypes.  Features photosynthesis and the production process of high intensity genotypes of winter wheat,  64—73 (Kyiv, Osnova, 2011) [in Ukrainian].
7. Sokolovska­Sergienko O.G., Kiriziy D.A. Carbon dioxide gas exchange and superoxide dismutase activity of flag leaves of different winter wheat varieties. Visnyk Ukr. tov-va genetykiv i selekcioneriv, 8 (1), 46—50 (2010) [in Russian].
8. Yatsenko V. O., Khandriga P. O., Kochubey S. M., Donets V. V. New method for remote sensing estimation of chlorophyll contents in vegetation and its software realization. Kosm. nauka tehnol., 13 (3), 35—44 (2007) [in Russian].
https://doi.org/10.15407/knit2007.03.035
9. Biewer S., Erasmi S., Fricke T., Wachendorf M. Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry.  Precision Agriculture, 10 (2), 128—144 (2009).
10. Dash J., Curran P. J.  The MERIS terrestrial chlorophyll index.  Int. J. Remote Sens., 25, 5403—5413 (2004).
https://doi.org/10.1080/0143116042000274015
11. Eitel J. U. H., Long D. S., Gessler P. E., Smith A. M. S. Using in-situ measurements to evaluate the new RapidEye™ satellite series for prediction of wheat nitrogen status. Int. J. Remote Sens., 28 (18), 4183—4190 (2007).
https://doi.org/10.1080/01431160701422213
12. Gitelson A. A., Merzlyak M. N. Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. J. Plant Physiology, 143, 286—292 (1994).
https://doi.org/10.1016/S0176-1617(11)81633-0
13. Herrmann I., Pimstein A., Karnieli A., et al. LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands. Remote Sens. Environ., 115 (8), 2141—2151 (2011).
https://doi.org/10.1016/j.rse.2011.04.018
14. Horler D. N. H., Dockray M., Barber J. The red edge of plant leaf reflectance. Int. J. Remote Sens., 4, 273—288 (1983).
https://doi.org/10.1080/01431168308948546
15. Kiang N. Y., Siefert J., Govindjee, Blankenship R. E. Spectral signatures of photosynthesis. I. Review of Earth organisms.  Astrobiology, N 7, 222—251 (2007).
https://doi.org/10.1089/ast.2006.0105
16. Ustin S. L., Gitelson A. A., Jacquemoud S., et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens. Environ.,  113, Supplement 1 (Imaging Spectroscopy Special Issue), S67—S77 (2009).

17. Yatsenko V., Kochubey S., Donets V., Kazantsev T. Hardware software complex for chlorophyll estimation in phytocenoses under field conditions.  Proc. of SPIE, 5964, 267—270 (2005).
https://doi.org/10.1117/12.624922