It is shown that by the method of remote registration of fluorescent radiation excited by laser radiation, it is possible to determine not only the species of plants, but also to divide classes of plants belonging to subspecies within the class.
To achieve accuracy, discriminant analysis was applied and the quality of the classifier was evaluated
To date, a wide range of methods of laser remote sensing based on fluorescent responses of vegetation have been developed and found application. The advantage of these methods lies in the spatial selectivity of the sensing objects and the absence of optical interference when registering signals at night.
The separability between classes will be the greater, the more features will be included in the consideration. The amplitude values of intensity in a discrete set of spectral channels in the wavelength range of 670 – 740 nm were selected as signs.
Thus, reliable results are obtained for decoding remote sensing data of vegetation cover using measurements made in the spectrum zones of 670-740 nm, providing the highest spectral resolution. Digital analysis of multichannel data increases the reliability of differentiation of various typological categories of vegetation cover.
Keywords:
:
remote sensing, laser, fluorescence, spectrum, plant, pattern recognition
References
References:
1. Matvienko G.G., Timofeev V.I., Grishin A.I., Fateyeva N.L. Lidar fluorescent metod for remote monitoring of the effects on the vegetation // Prog.SPIE., 2006, V.6367,63670 F. p.9.
2. Bunkin A. F., Vlasov D. V., Mirkamilov D. M. Physical foundations of 'laser aerosounding of the Earth's surface. T .: Fan, 1987 .-- 272 p.
3. Fedotov Yu.V., Bullo O.A., Belov M.L., Gorodnichev V.A. Remote laser fluorimeter for detecting stress conditions of vegetation // Radiooptika. MGTUim them. N.E. Bauman. Electronic burner - 2017. - No. 1. - P. 1-13.
4. Matvinko G.G., Timofeev V.I., Grishin A.I., Fateyeva N.L. Lidar fiuorescent metod for remote monitoring of the effects on vegetation // Prog. SPIE. 2006. V.6367. 63670F. 9 p.
5. Carter G.A., Knapp A.K. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration // Am. J. Bot. 2001. Vol. 88, no. 4. Pp. 677- 684
6. Afanasenko A.V., Iglakov A.I., Matvienko G.G., Oshlakov V.K., Prokopyev V.E. Laboratory and lidar measurements of spectral characteristics of birch lists in different vegetation periods // Optics of the atmosphere and ocean. - 2012. - T.25, No.3. S. 237-243.
7. Mirkamilov D.M., Vlasov D.V., Bunkin A.F., etc. Method of remote determination of the physiological state of the plant. Auth. certificate No. 1276963. August 15, 1986г.
8. Ernazarov Sh.N., Mukhamedov A.A. Quantitative aspects of remote laser sensing of fluorescent organics // Chemical technology. Control and management. - Tashkent, 2015. - No. 1. - From 67-70.
9. Vlasov D.V., Mirkamilov D.M., Bunkin A.F. and etc. Precision OEM calibration "Seagull" in the ground conditions // Seminar Meeting"Problems of laser aerosounding of the Earth's surface ": Abstracts of the scientific conference. November 14-16, 1984.- Tashkent, 1984.-P.43.
10. Mirkamilov D.M., Mukhamedov A.A., Mansurov M.M., Ernazarov Sh.N. Recognition physiological state of plants spectra laser-induced fluorescence // Exploration of the Earth from space. - Moscow, 1992. - No. 1. - P. 92-95.
11. Khalmanov A., Ernazarov Sh., Mukhamedov A., Toshkuvatova N. Investigation of the laser remote identification of plant state. International Scientific Journal ISJ Theoretical & Applied Science Philadelphia, USA Issue 12, Volume 94, December 12, 2020.
12. . Mukhamedov A., Ernazarov Sh, Remote measurement of plant biomass by picosecond laser radiation. Euro Asia 8th Internanional Congress on Applied Sciences. March 15-16, 2021/Uzsekistan
13. Duda R., Hart P. Pattern Recognition and Analysis scenes - M .: Mir, 1976.511 p.
14. Patrick E., Fundamentals of the Theory of Recognized Patterns.Moscow: Sov.radio,
1980.408 p.
