Use of remote sensing methods for evaluating the action of stress factors on vegetation

1Voinov, OA
1Institute of Agroecology and Environmental Sciences, National Academy of Agrarian Sciences of Ukraine, Kyiv, Ukraine
Kosm. nauka tehnol. 1998, 4 ;(2):58–63
https://doi.org/10.15407/knit1998.02.058
Publication Language: Ukrainian
Abstract: 
We discuss the results of field investigations on the information content of the electromagnetic emission from tomato plants in the visible and near-IR spectral regions with the aim to evaluate their phytopathological condition. The near-IR region is shown to be more informative. Remote sensing methods allow the plant phytopathologi­cal state to be detected at early stages of plant development (before the appearance of visual symptoms).
Keywords: electromagnetic emission, phytopathological condition, remote sensing methods
References: 
1. Vojnov O. A., Rajljan V. Ja., Devjataev O. S. Evaluation of fields of winter wheat remote method. In: Application of remote diagnostics in agriculture, 51 — 54 (Nauk. dumka, Kiev, 1989) [in Russian].
2. Vojnov O. A., Rajljan V. Ja., Korobov R. M. Some statistical characteristics of spectral parameters of winter wheat vegetation. Tr. NPO «Planeta», Is. 39, 136—150 (1990) [in Russian].
3. Vygodskaya N. N., Gorshkova I. I. Theory and experiment in vegetation remote sensing, 248 p. (Gidrometeoizdat, Leningrad, 1987) [in Russian].
4. Dadykin V. P., Bedenko V. P. Environmental conditions and the absorption of radiant energy plant. Vestn. s.-h. nauki, No. 6 (1961) [in Russian].
5. Kochubey S. M., Shadchina T. M., Kobets N. I. Spectral Properties of Plants as a Basis for the Methods of Remote Diagnostic, 136 p. (Naukova dumka, Kiev, 1990) [in Russian].
6. Ljalko V. I., Kolosha O. I. The method of early diagnosis of the wintering of winter crops with the use of infrared remote shooting. Izv. AN SSSR. Ser. biol., No. 3, 456—458 (1985) [in Russian].
7. Fadeev Iu. N., Alimukhamedov S. N., Budanov V. E. Aerial control of phytosanitary state of agriculutral resources. Vestnik sel'skokhoziaistvennoi nauki, No. 3, 129—134 (1984) [in Russian].
8. Shabala S. N., Voinov O. A. Dynamics of Physiological Characteristics of Plants as a Component of the System of Ecological Monitoring, Usp. Sovrem. Biol., 114 (2), 144—159 (1994) [in Russian].
9. Shabala S. N., Voinov O. A., et al. Herbicides action performance evaluation criteria for laboratory express methods for transient bioelectric reactions. In: Scientific support of agro-industrial complex, 103—110 (Agrarna nauka, Kiev, 1996) [in Russian].
10. Shul'gin I. A., Kleshnin A. F. Correlation between optical properties of plant leaves and their chlorophyll content, Dokl. Akad. Nauk SSSR, 125 (6), 1371 — 1373 (1959) [in Russian].
11. Basu P., et al. Estimation of pea yield loss from severe root rot and drought stress using aerial photographs and a loss conver­sion factor. Can. J. Plant Sci., 58 (1), 159— 164 (1978).
https://doi.org/10.4141/cjps78-023
12. Boatwright G. O., Whitehead V. S. Early warning and crop condition assessment research. IEEE Trans. Geosci. and Remote Sens., 24 (1), 54—64 (1986).
https://doi.org/10.1109/TGRS.1986.289588
13. Bunnik J. J. The multispectral reflectance of shortwave radiation by agricultural crops in relations with their morpholigical and optical propertie, 180 p. (Wageningen, 1978).
14. Hilty Y. W., Ausmus B. S. Infrared photograpy of southern corn leaf blight. Phytopathology, 62 (8), P. 804 (1972).
15. Jackson R. D. Spectral indices in n. Space. Remote Sens. Environ., 13, 409—421 (1983).
https://doi.org/10.1016/0034-4257(83)90010-X
16. Jackson R. D., Pinter P. J., Reginato R. J., Idso S. B. Detection and evaluation of plant stresses for crop management decisions. IEEE Trans. Geosci. and Remote Sens., 24 (1), 99—106 (1986).
https://doi.org/10.1109/TGRS.1986.289690
17. Kanemasu E. T. Using ERTS-1 data systems to predict wheat disease severities and to estimate crop growth. IEEE Int. Conf. Commun. Minneapolis Minn., New York, P. 32D-1—32D-3 (1974).
18. Steven M. D. Reflection in the red and near infrared bands by healthy and stressed crops. Proc. 9th Ann. Conf. Remote sens. Soc., P. 152 (1983).

19. Wiegand C. L., Richardson A. J., Nixon P. R. Spectral components analysis: a bridge between spectral observations and agrometeorological crop models. IEEE Trans. Geosci. and Remote Sens., 24 (1), 83—89 (1986).
https://doi.org/10.1109/TGRS.1986.289688