Colorimetric analysis of soil with flatbed scanners

N. P. Kirillova (Corresponding Author), D B Kemp, Z S Artemyeva

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
7 Downloads (Pure)

Abstract

Colour is an important physical property in the characterization of soil type, and the description of soil profiles. Quantitative data from spectrophotometers and colorimeters have been used in soil research for this purpose, but semi-quantitative Munsell colour description remains the main method of soil colour evaluation. Low-cost digital devices (cameras and scanners) could largely replace the semi-quantitative assessment of colour by Munsell charts if such devices can be calibrated colorimetrically to provide accurate and reproducible data. Robust application of such tools, however, requires standardized light sources, which precludes the use of digital cameras as viable devices for use in the field. Flatbed scanners, on the other hand, enable 2-D imaging by a contact method under consistent lighting conditions. Power can be provided to such scanners through a USB port by a laptop computer, and so can be used as viable devices in the field. In this study, we explored the feasibility of using flatbed scanners to derive colorimetrically accurate images and data from a set of 161 soil samples. The efficacy of our approach was tested with two low-cost scanners, and included analysis of two commercial colour charts, six printed colour charts and three editions of the Munsell Soil Colour chart to assess the optimum methods of colorimetric calibration. For both scanners tested, we found that accurate colour characterization could be achieved for >95% of the soil samples studied (i.e. with colour errors barely perceptible by the human eye). These results illustrate the merit and efficacy of this rapid and low cost approach for soil colour evaluation.
Original languageEnglish
Pages (from-to)420–433
Number of pages14
JournalEuropean Journal of Soil Science
Volume68
Issue number4
Early online date13 Jul 2017
DOIs
Publication statusPublished - Jul 2017

Bibliographical note

Acknowledgements
This work was supported by the Russian Science Academy Presidium (2015). The CIEDE2000 calculation of Sharma et al. (2005) was made available from spreadsheets from these authors.

Keywords

  • soil colour
  • calibration
  • spectrophotometer
  • Munsell colour chart

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