Conversion of Munsell color coordinates to Cie-L*a*b* system: Tables and calculation examples

Vodyanitskiĭ, Yu. N.; Кириллова, Н. П.

doi:10.3103/s0147687416040074

Cited by 11 publications

(11 citation statements)

References 12 publications

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“…Although using the Munsell soil colour chart (MSCC) is the prevalent practice in soil science, several problems have been described with the consistency of colour identification using this qualitative method. Thus, we chose to use the CIELAB and CIELCh colour systems, which are contemporary colour spaces defined by the International Commission on Illumination (CIE) that supersede Munsell by offering advantageous properties during statistical analysis, while retaining the same perceptual framework, which is familiar to soil scientists [53]. In fact, there is almost a 1:1 correlation between the Munsell hue, value, and chroma attributes and the equivalent hue (h • ), lightness (L*), and saturation (C*) polar coordinates [39].…”

Section: Colour Transformations For Data Analysismentioning

confidence: 99%

Measuring Soil Colour to Estimate Soil Organic Carbon Using a Large-Scale Citizen Science-Based Approach

et al. 2021

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Rapid, low-cost methods for large-scale assessments of soil organic carbon (SOC) are essential for climate change mitigation. Our work explores the potential for citizen scientists to gather soil colour data as a cost-effective proxy of SOC instead of conventional lab analyses. The research took place during a 2-year period using topsoil data gathered by citizen scientists and scientists from urban parks in the UK and France. We evaluated the accuracy and consistency of colour identification by comparing “observed” Munsell soil colour estimates to “measured” colour derived from reflectance spectroscopy, and calibrated colour observations to ensure data robustness. Statistical relationships between carbon content obtained by loss on ignition (LOI) and (i) observed and (ii) measured soil colour were derived for SOC prediction using three colour components: hue, lightness, and chroma. Results demonstrate that although the spectrophotometer offers higher precision, there was a correlation between observed and measured colour for both scientists (R2 = 0.42; R2 = 0.26) and citizen scientists (R2 = 0.39; R2 = 0.19) for lightness and chroma, respectively. Foremost, a slightly stronger relationship was found for predicted SOC using the spectrophotometer (R2 = 0.69), and citizen scientists produced comparable results (R2 = 0.58), highlighting the potential of a large-scale citizen-based approach for SOC monitoring.

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Section: Colour Transformations For Data Analysismentioning

confidence: 99%

Measuring Soil Colour to Estimate Soil Organic Carbon Using a Large-Scale Citizen Science-Based Approach

et al. 2021

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“…After 1 h, the moist Munsell color of the soil in both tubes was determined visually under florescent lighting and through the plastic test tube to the nearest color chip. A conversion table, sourced from Vodyanitskii and Kirillova (2016), was used to convert the Munsell color to the LAB color format, which expresses color as numeric values. In the LAB color scheme, the L value refers to the degree of lightness, the A value refers to degree of red-green, and the B value refers to the degree of blue-yellow.…”

Section: Soil Iron Reducibilitymentioning

confidence: 99%

“…Summary of region effects on the coefficient of linear extensibility (COLE), the change in the lightness (∆L), red-green (∆A), and blue-yellow (∆B) soil color values from the LAB soil color system(Vodyanitskii & Kirillova, 2016), the color change propensity index (CCPI), and cation exchange capacity as calculated from Mehlich-3-extractable cations (CEC-M)…”

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confidence: 99%

Characterizing expansiveness and iron reducibility of red‐clay soils for the purpose of on‐site wastewater system placement in Arkansas

Darnell

Brye

West

et al. 2021

Agrosystems Geosci & Env

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The lack of iron-reducing capability in some red soils poses an issue for determining the suitability for on-site wastewater treatment systems (OSWWTS). The Arkansas Department of Health allows for placement of OSWWTS in certain red-clay soils that have the potential for iron reduction and do not show expansiveness upon wetting, but only in the Ozark Highlands (Major Land Resource Area [MLRA] 116A), which is referred to as the red-soil exception. The objectives of this study were (a) to confirm the nonexpansiveness and iron reducibility of select soils in the Ozark Highlands that meet the criteria for the red-soil exception, and (b) to compare the expansiveness and iron reducibility of the residual or colluvial red-clay soils of the Ozark Highlands with those in four other MLRA region groupings in Arkansas. Fresh and archived soils were used to create a 51-sample dataset from the 38-to 50-cm soil depth interval for analyses. The alluvial soils of the Red and Arkansas River valleys had a mean coefficient of linear extensibility (COLE) of 0.116 mm mm -1 , whereas the residual or colluvial soils from the other MLRA regions evaluated had lower (P < .01) COLE values. Soils from the Red and Arkansas Rivers region changed red color (∆A) the least (∆A of −8.6 in the LAB color scheme; P < .01) compared with soils from the other regions. Results of this study indicate that the red-soil exception, as used by the Arkansas Department of Health for determining OSWWTS suitability, could be expanded to include soils from several additional MLRAs with additional, sitespecific information.

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Section: Introductionmentioning

confidence: 99%

“…The conversion of color data from the Munsell color system to the CIEL*C*h* not only satisfies the efficiency and simplicity of data collection but also facilitates the subsequent statistical analysis. [65][66][67][68][69][70][71] The theoretical density of zircon can be calculated by its unit cell volume ranging from 255.59 to 264.16 A 3 . [17,[19][20][21]23,25,[72][73][74][75][76][77][78][79][80][81][82] The effect of nuclear radiation from the decay of uranium, thorium, and their daughter elements on the density and unit cell dimensions has been studied.…”

Section: Introductionmentioning

confidence: 99%

Influence of metamictization on the gemological properties of natural zircon: A Raman spectroscopic study of zircons in the gemological collection of Abraham Gottlob Werner

Gao

Heide

2020

J Raman Spectroscopy

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Raman spectroscopy is a convenient, efficient, and non‐destructive technique that could estimate the metamictization degree of zircon, particularly for gem‐class or historical samples. The full width at half maximum value of the ν3(SiO4) band around 1000 cm−1 can classify the structural state of zircon as crystallized (the full width at half maximum value is less than 5 cm−1), intermediate (the full width at half maximum value ranges from 5 to 15 cm−1), and metamict (the full width at half maximum value is more than 15 cm−1). This study focuses on the zircon samples from Sri Lanka in the gemological collection of Abraham Gottlob Werner. These samples show red to green, according to the Munsell color system and the CIEL*C*h* color system, and their density is from 4.07 to 4.87 g/cm3. Comparing the color and metamictization degree data of zircon samples, crystallized zircon displays a more red tone with yellow. The green tone in zircon occurs with metamictization. The density of zircon could be an indicator of the metamictization degree as crystallized zircon is 4.57 to 4.70 g/cm3 in a 95% confidence interval, which matches the theoretical density (4.61–4.76 g/cm3) better, whereas metamict zircons present a density of 4.37–4.59 g/cm3, and the density of zircon decreases with metamictization. The metamictization has a significant influence on the gemological properties of zircon, whereas the typical color tone and low density can be a sign of the metamictization.

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Conversion of Munsell color coordinates to Cie-Lab* system: Tables and calculation examples

Cited by 11 publications

References 12 publications

Measuring Soil Colour to Estimate Soil Organic Carbon Using a Large-Scale Citizen Science-Based Approach

Measuring Soil Colour to Estimate Soil Organic Carbon Using a Large-Scale Citizen Science-Based Approach

Characterizing expansiveness and iron reducibility of red‐clay soils for the purpose of on‐site wastewater system placement in Arkansas

Influence of metamictization on the gemological properties of natural zircon: A Raman spectroscopic study of zircons in the gemological collection of Abraham Gottlob Werner

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