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Study of the optical properties of an exposed soil surface

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Прудникова Е.Ю., Савин И.Ю. Исследование оптических свойств открытой поверхности почв // Оптический журнал. 2016. Т. 83. № 10. С. 79–86.

Prudnikova E.Yu., Savin I.Yu. Study of the optical properties of an exposed soil surface [in Russian] // Opticheskii Zhurnal. 2016. V. 83. № 10. P. 79–86.

For citation (Journal of Optical Technology):

E. Yu. Prudnikova and I. Yu. Savin, "Study of the optical properties of an exposed soil surface," Journal of Optical Technology. 83(10), 642-647 (2016). https://doi.org/10.1364/JOT.83.000642

Abstract:

The optical properties of soils are the basis for mapping them from satellite data. The optical surface properties are affected by both soil and nonsoil factors; according to analysis of variance, the contribution of the latter to the variability of the optical properties is a factor of 2 greater. Moreover, their effect on the spectral reflectivity is more specific. Among the nonsoil factors that are analyzed, the mapping time is most closely associated with the optical properties. The models obtained in the course of regression analysis are characterized by good approximation quality and explain more than 61% of the variability of the given factor. The accuracy of the given models for the parameters developed to evaluate the optical properties is greater than 75%.

Keywords:

optical properties, spectral reflectivity, satellite evaluation, soils mapping

Acknowledgements:

The research was supported by the Russian Academy of Sciences (RAS); Russian Scientific Foundation (15-16-30007); Russian Foundation for Basic Research (RFBR) (15-04-04717\15).

OCIS codes: 280.4788, 300.6190, 300.6550

References:

1. E. M. Barnes and M. G. Baker, “Multispectral data for soil mapping: possibilities and limitations,” in 1999 ASAE Annual International Meeting (ASAE, St. Joseph, Michigan, 1999), paper 991138.
2. J. A. Thomasson, R. Sui, M. S. Cox, and A. Al-Rajehy, “Soil reflectance sensing for determining soil properties in precision agriculture,” Trans. Am. Soc. Agron. Eng. 44, 1445–1453 (2001).
3. G. A. Fox and G. J. Sabbagh, “Estimation of soil organic matter from red and near-infrared remotely sensed data using a soil line Euclidian distance technique,” Soil Sci. Soc. Am. J. 66, 1922–1928 (2002).
4. C. S. T. Daughtry and W. C. Bausch, “Remote- and ground-based sensor techniques to map soil properties,” Photogramm. Eng. Remote Sens. 69(6), 619–630 (2003).
5. V. I. Kravtsova, Space-Based Methods of Studying Soils (Aspekt, Moscow, 2005).
6. G. Metternicht and J. A. Zinck, Remote Sensing of Soil Salinization: Impact on Land Management (CRC Press, New York, 2009).
7. A. Lesaignoux, S. Fabre, X. Briotter, and A. Olioso, “Influence of surface soil moisture on spectral reflectance of bare soil in the 0.4–15 μm domain,” Geosci. Remote Sens. Lett. 8(1), 143–147 (2011).
8. E. Yu. Prudnikova, “Automatic mapping of soils from satellite data for planning ALSZ (using as an example test fields in Saratov, Volga Region),” Author’s abstract of candidate’s dissertation of biological sciences, RGAU-MSKhA, Moscow (2013).
9. I. I. Karmanov, “The study of soils from the spectral composition of reflected radiations,” Pochvovedenie 4, 34–37 (1970).
10. A. J. Richardson and C. L. Wiegand, “Distinguishing vegetation from soil background information,” Photogramm. Eng. Remote Sens. 43, 1541–1552 (1977).
11. D. S. Orlov, Spectral Reflectivity of Soils and Their Components (Izd. Mosk. Univ., Moscow, 2001).
12. S. A. Bowers and R. J. Hanks, “Reflectance of radiant energy from soils,” Soil Sci. 100, 130–138 (1965).
13. A. K. Sinha, “Spectral reflectance characteristics of soil and its correlation with soil properties and surface conditions,” J. Indian Soc. Remote Sens. 14(1), 1–9 (1986).
14. T. L. Coleman, P. A. Agbu, and O. L. Montgomery, “Spectral differentiation on surface soils and soil properties: is it possible from space platforms?” Soil Sci. 155(4), 283–293 (1993).
15. D. J. Brown, K. D. Shepherd, M. G. Walsh, M. D. Mays, and T. G. Reinsch, “Global soil characterization with VNIR diffuse reflectance spectroscopy,” Geoderma 132, 273–290 (2006).
16. I. Yu. Savin, “On the hue of an image of an exposed soil surface as a direct interpretative attribute,” Byul. Inst. Pochv im. V.V. Dokuchaeva 71, 52–64 (2013).
17. I. Yu. Savin and E. Yu. Prudnikova, “Concerning the optimum time of satellite surveys for mapping arable soils,” Byul. Inst. Pochv im. V.V. Dokuchaeva 74, 66–77 (2014).
18. “World reference base for soil resources,” World Soil Resources Report 106 (FAO, Rome, 2014).
19. V. V. Egorov, V. M. Fridland, E. N. Ivanova, and N. N. Rozov, Classification and Diagnosis of the Soils of the USSR (Kolos, Moscow, 1977).
20. D. W. Hosmer, Jr. and S. Lemeshow, Applied Logistic Regression (Wiley, New York, 2004).
21. J. Cohen, P. Cohen, S. G. West, and L. S. Aiken, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (Lawrence Erlbaum Associates, Mahwah, New Jersey, 2003).