Skip to main content
SpringerLink
Log in

Color estimation of forest-steppe soils by digital photography under laboratory conditions

  • Soil Physics
  • Published:
Eurasian Soil Science Aims and scope Submit manuscript

Abstract

Numerical values in the RGB, HSB, and L*a*b systems for the colors of structurally differentiated soils (Luvisols) in the Volga–Kama forest-steppe have been obtained using a digital camera. A high correlation has been revealed between the soil color and the content of humus in the range 0.39–6%. When the content of humus exceeds 6%, the color of humus horizon varies only slightly. A regression equation within the RRGB range from 85 to 173 has been calculated for the rapid determination of humus content in low- and medium-humus texturally differentiated soils of the Volga–Kama forest-steppe.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. A. B. Achasov and D. I. Bidolakh, “The use of space and ground digital photography for determining the humus content in soils,” Eurasian Soil Sci. 41 (3), 249–254 (2008).

    Article  Google Scholar 

  2. S. Yu. Bulygin, D. I. Bidolakh, and F. N. Lisetskii, “Assessment of soil humus content using their digistal images,” Nauch. Ved. Belgorod. Gos. Univ., Ser. Estestv. Nauki 16 (15), 154–159 (2011).

    Google Scholar 

  3. A. A. Valeeva, Candidate’s Dissertation in Biology (Kazan, 2014).

    Google Scholar 

  4. A. Kh. Gazizullin, “Soil genesis formed on red Permian deposits in Central Volga region and Cis-Ural region,” Pochvovedenie, No. 9, 1071–1081 (1995).

    Google Scholar 

  5. GOST (State Standard) 17.4.4.02-84: Nature Protection. Soils. Methods of Selection and Preparation of Samples for Chemical, Bacteriological, and Helminthological Analysis.

  6. N. P. Kirillova, Yu. N. Vodyanitskii, and T. M. Sileva, “Conversion of soil color parameters from the Munsell system to the CIE-L*a*b* system,” Eurasian Soil Sci. 48 (5), 468–475 (2015). doi 10.1134/S1064229315050026

    Article  Google Scholar 

  7. Yu. G. Puzachenko, M. Yu. Puzachenko, D. N. Kozlov, and G. M. Aleshchenko, “Soil structure analysis with the use of digital color images,” Eurasian Soil Sci. 37 (2), 109–121 (2004).

    Google Scholar 

  8. B. G. Rozanov, Soil Morphology (Akademicheskii Proekt, Moscow, 2004) [in Russian].

    Google Scholar 

  9. V. P. Samsonova, Yu. L. Meshalkina, and Yu. N. Blagoveshchenskii, “Effect of errors in positioning the sampling points on the assessment of the relationships between the remote sensing data and the soil properties,” Eurasian Soil Sci. 46 (5), 484–490 (2013). doi 10.1134/S1064229313050104

    Article  Google Scholar 

  10. W. P. Adderley, I. A. Simpson, and D. A. Davidson, “Color description and quantification in mosaic images of soils thin sections,” Geoderma 108, 181–195 (2002).

    Article  Google Scholar 

  11. J. Y. Hardeberg, “Colorimetric scanner characterization,” Acta Graph. 15, 89–104 (2003).

    Google Scholar 

  12. D. B. Kemp, “Colorimetric characterization of flatbed scanners for rock/sediment imaging,” Comput. Geosci. 67, 69–74 (2014).

    Article  Google Scholar 

  13. M. E. Konen, C. L. Burras, and J. A. Sandor, “Organic carbon, texture, and quantitative color measurement relationships for cultivated soils in North Central Iowa,” Soil Sci. Soc. Am. J. 67, 1823–1830 (2003).

    Article  Google Scholar 

  14. K. Leon, D. Mery, F. Pedreschi, and J. Leon, “Color measurement in L*a*b* units from RGB digital images,” Food Res. Int. 39, 1084–1091 (2006).

    Article  Google Scholar 

  15. N. Levin, E. Ben-Dor, and A. Singer, “A digital camera as a tool to measure color indices and related properties of sandy soils in semi-arid environments,” Int. J. Remote Sens. 26 (24), 5475–5492 (2005).

    Article  Google Scholar 

  16. M. D. Melville and G. Atchinson, “Soil color: its measurement and its designation in models of uniform color space,” J. Soil Sci. 36 (4), 495–512 (1985).

    Article  Google Scholar 

  17. E. A. G. Robertson and D. J. Campbell, “Simple, lowcost image analysis of soil pore structure,” J. Agric. Eng. Res. 68 (4), 291–296 (1997).

    Article  Google Scholar 

  18. D. G. Schulze, J. L. Nagel, G. E. van Scoyoc, T. L. Henderson, M. F. Baumgardner, and D. E. Stott, “Significance of organic matter in determining soil colors,” in Soil Color, Ed. by J. M. Bigham and E. J. Ciolkosz (Soil Science Society of America, Madison, WI, 1993), pp. 71–90.

    Google Scholar 

  19. G. C. Steinhardt and D. P. Franzmeier, “Comparison of organic matter content with soil color for silt loam soils of Indiana,” Commun. Soil Sci. Plant Anal. 10, 1271–1277 (1979).

    Article  Google Scholar 

  20. K. L. Yam and S. E. Papadakis, “A simple digital imaging method for measuring and analyzing colour of food samples,” J. Food Eng. 61, 137–142 (2004).

    Article  Google Scholar 

  21. R. A. Viscarra Rossel, S. R. Cattle, A. Ortega, and Y. Fouad, “In situ measurements of soil color, mineral composition and clay content by vis-NIR spectroscopy,” Geoderma 150, 253–266 (2009).

    Article  Google Scholar 

  22. R. A. Viscarra Rossel, B. Minasny, P. Roudier, and A. B. McBratney, “Color space models for soil science,” Geoderma 133, 320–337 (2006).

    Article  Google Scholar 

  23. W. S. Warner, “Mapping a three-dimensional soil surface with hand-held 35 mm photography,” Soil Tillage Res. 34 (3), 187–197 (1995).

    Article  Google Scholar 

  24. M. A. Webster and J. D. Mollon, “Adaptation and the color statistics of natural images,” Vision Res. 37 (23), 3283–3298 (1997).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kazan (Volga region) Federal University, ul. Kremlevskaya 18, Kazan, 420008, Russia

    A. A. Valeeva & G. F. Koposov

  2. Institute of Problems of Ecology and Mineral Resources, ul. Daurskaya 28, Kazan, 420087, Russia

    A. B. Aleksandrova

Authors
  1. A. A. Valeeva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. B. Aleksandrova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. G. F. Koposov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. A. Valeeva.

Additional information

Original Russian Text © A.A. Valeeva, A.B. Aleksandrova, G.F. Koposov, 2016, published in Pochvovedenie, 2016, No. 9, pp. 1101–1106.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Valeeva, A.A., Aleksandrova, A.B. & Koposov, G.F. Color estimation of forest-steppe soils by digital photography under laboratory conditions. Eurasian Soil Sc. 49, 1033–1037 (2016). https://doi.org/10.1134/S1064229316090131

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064229316090131

Keywords

Search

Navigation