• Title/Summary/Keyword: soil color

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Spectral Reflectance of Soils Related to the Interaction of Soil Moisture and Soil Color Using Remote Sensing Technology (RS 기법을 이용한 토양수분과 토양 색에 관련된 토양의 분광반사)

  • 박종화
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.5
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    • pp.77-84
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    • 2003
  • Recent advances in remote sensing techniques provide the potential for monitoring soil color as well as soil moisture conditions at the spatial and temporal scales required for detailed local modeling efforts. Soil moisture as well as soil color is a key feature used in the identification and classification of soils. Soil spectral reflectance has a direct relationship with soil color, as well as to other parameters such as soil moisture, soil texture. and organic matter. We evaluate the influence of seven soil properties, soil color and soil moisture, on soil spectral reflectance. This paper presents the results obtained from the ground-truth spectral reflectance measurements in the 300-1100 nm wavelength range for various land surfaces. The results suggest that the reflectance properties of soils are related to soil color, soil texture, and soil moisture. Increasing soil moisture content generally decreases soil reflectance which leads to parallel curves of soil reflectance spectra across the entire shortwave spectrum. We discuss the relationships between the soil reflectance and the Munsell Soil Color Charts which contain standard color chips with colors specified by designations for hue, value, and chroma.

Using the CIELAB Color System for Soil Color Identification Based on Digital Image Processing (디지털 이미지 프로세싱 기반 토색 분석을 위한 CIELAB 색 표시계 활용 연구)

  • Baek, Sung-Ha;Park, Ka-Hyun;Jeon, Jun-Seo;Kwak, Tae-Young
    • Journal of the Korean Geotechnical Society
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    • v.38 no.5
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    • pp.61-71
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    • 2022
  • Soil color is used to determine soil classification and its physical, chemical, and biological properties. Visual determination is the most commonly used method for identifying soil color. However, it is subjective and, in many cases, non-repeatable. Digital image processing obtains useful information from digital images, accelerates soil classification, and enables the rapid identification of soil types in a field. This study develops a digital image processing-based soil color analysis technology that can consider irregular light conditions in the field. The digital image studio was designed to simulate the characteristics of natural light (illuminance and color temperature). Also, digital images of two soil samples (Jumoonjin sand and Anseong weathered soil) were captured under 12 different light conditions. For the RGB and CIELAB color systems, soil color intensities of 24 images were obtained using digital image processing. CIELAB was suitable for dealing with irregular light conditions in the field.

Predicting Unsaturated Soil Water Content Using CIELAB Color System-based Soil Color (CIELAB 색 표시계 기반 토색을 활용한 불포화토 함수비 예측 연구)

  • Baek, Sung-Ha;Park, Ka-Hyun;Jeon, Jun-Seo;Kwak, Tae-Young
    • Journal of the Korean Geotechnical Society
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    • v.39 no.2
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    • pp.31-42
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    • 2023
  • A study was conducted to use soil color obtained from digital im ages as an indicator of soil water content. Digital images of Jumoonjin standard sand with five different water contents were captured under nine different lighting conditions. Through digital image processing, the soil color of the sample was obtained based on the CIELAB color system, and the effect of lighting conditions and water content on the soil color was analyzed. The results indicated that L* showed a high correlation with illuminance, whereas a* and b* showed a high correlation with color temperature. As the water content increased, L*, which represents the brightness of the soil color, decreased, and a* and b* increased. Therefore, the soil color changed from green and blue to red and yellow. Based on the regression analysis results of lighting conditions, water content, and soil color, a water content predicting method based on the soil color of silica-based sand photographed under irregular light conditions was proposed. The proposed method can predict the water content with a m axim um error of 0.29%.

Relationship between Soil Color Characteristics and Measurement Values by Colorimeter (토양의 색 특성과 색차계 측정치의 상호관계)

  • Kim, Ki-In;Hong, Soon-Dal
    • Korean Journal of Soil Science and Fertilizer
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    • v.35 no.2
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    • pp.77-86
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    • 2002
  • Soil color characteristics were measured by a optical instrument, colorimeter, comparing with the conventional Munsell color chart and related to the chemical properties of soils. Total of the 67 experimental soils were taken from tobacco fields that located at Cheongwon, Enmseong, Boeun, Goesan, Jincheon, and Chungju countries in Chungbuk Province having the 29 soil series including Samgag. The values of L, a, and b measured by colorimeter were closely related with hue, value, and chroma of Munsell color chart, respectively, indicating the quantitative measurement of soil color characteristics. The standard deviations in measurement for L, a, and b values was smaller in soil sample passed by 0.5 mm sieve than 2 mm sieve, suggesting that soil particle size less than 0.5 mm was better condition for colorimeter measurement. The values of L and b measured by colorimeter showed a tendency to decrease as increase of soil moisture content but nearly on difference with moisture condition for the value of a. However, correlation coefficient between air dry samples and wet soil samples(soil moisture retension of -10 hPa) for measurements of L, a and b value were more than 0.9 showing the same tendency in measurement. Consequently, air dry soil passed by 0.5 mm sieve was recommended to desirable conditions for stable measurement by colorimeter. The measured values by colorimeter were significantly correlated with organic matter, CEC, exchangeable Ca and Mg, showing the highest correlation coefficient between L value and organic matter.

Physical Properties of Soil Concrete Using Volcaniclastic and the Application to Roadway (화산쇄설물을 사용한 소일콘크리트의 물리적 특성과 도로포장의 적용)

  • Hong, Chong-Hyun
    • Journal of Environmental Science International
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    • v.18 no.9
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    • pp.993-1000
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    • 2009
  • The development of a new type of soil-cement concrete pavement using volcaniclastic is the main purpose of this study. Various mixture ratios, specimens' penetration resistance, time of setting, slump flow of fleshly mixed concrete, compressive strength and color characteristics of hardened concrete were studied. It was concluded that the optimum weight ratio of cement:volcaniclastic to produce good properties of soil-cement concrete is 1:3 and the use of volcaniclastic as main aggregate can improve the concrete surface color that is warm earth-tone road color. Therefore, commercial development for soil-cement concrete pavement using volcaniclastic is highly promising.

A Study on the Soil-Redeposition in Drycleaning Process (드라이클리닝시의 재오염에 관한 연구)

  • Cha Ok Seon;Kang In Suk
    • Journal of the Korean Society of Clothing and Textiles
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    • v.12 no.3 s.28
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    • pp.383-390
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    • 1988
  • To investigate the soil-redeposition and color change on dry-cleaning, the white and, dyed, fabrics of cotton, silk, polyester and viscose rayon were put into ordinary commercial dry-cleaning machine with soiled cloths. The solvents used were hydrocarben, perchloroethylene and fluorocarbon. From the result, we obtained the following conclusions by examining soil-redeposition, color difference of fabrics and tenacity of cotton fabric. 1. In case of white fabrics, as a whole, perchloroethylene shows the lowest soil redeposition. When distillation process is adopted, the rate of soil redeposition is lowered. with hydrocarbon sdvent. The order of soil redeposition rate of fibers are following; cotton> viscose rayon> silk> polyester. 2. In case of dyed fabrics, the color difference between soil redeposited fabrics and originals ($\delta\;E_1$) is similar with white fabrics in pattern, and the order is cotton, viscose rayon, silk and polyester. The color difference between fabrics, treated by pure solvents and originals ($\delta\;E_2$ ) is also validated as a little. It seems to be due to the bleeding of dyestuffs from fabrics. 3. There is a little change of tenacity of cotton fabrics by dry-cleaning with perchloroethylene solvent. It is supposed that the damage is more influenced the repetitive mechanical action during dry-cleaning than by acidity of the solvent having the acid value of 0,14.

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Comparison of Green Color Retention of Zoysiagrass and Cool-season Grass under Multilayer System, USGA System, and Mono-layer System of Sports Field (스포츠용 다단구조, USGA구조 및 약식구조 지반에서 한국잔디 및 한지형 잔디의 녹색기간 비교)

  • Kim, Kyoung-Nam
    • Horticultural Science & Technology
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    • v.34 no.2
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    • pp.342-353
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    • 2016
  • This study was initiated to evaluate green color retention under three different soil systems. Several turfgrasses were evaluated in multi-layer, USGA, and mono-layer systems. Turfgrass entries were comprised of three cultivars of Korean lawngrass (Zoysia japonica Steud.) as warm-season grass (WSG) and three blends and three mixtures of Kentucky bluegrass (KB, Poa pratensis L.), perennial ryegrass (PR, Lolium perenne L.), and tall fescue (TF, Festuca arundinacea Schreb.) as cool-season grass (CSG). Significant differences were observed in visual turf color and green color retention among soil systems and turfgrasses. Both the multi-layer and USGA systems were highly associated with better color ratings and longer color retention, as compared with the mono-layer system. Seasonal variation of visual turf color greatly occurred from late December to early spring. CSG exhibited longer color retention than did WSG. The latter maintained green color for approximately 6 months, regardless of the soil system. Spring green-up of Korean lawngrass occurred from early to middle May, while it underwent discoloration from late October to early November. Among the CSGs green-up occurred between early March and early April and leaf color was maintained until middle December to early February. Therefore, the CSGs were green for 8.5 to 11 months, depending on turfgrass and soil system. The mean period of green color duration across all soil systems was approximately 10-11, 9-10 and 8.5-9.0 months for PR, KB and TF, respectively. As for the CSG mixtures, the greater the proportion of PR, the longer the green color retention, while the higher the proportion of TF, the shorter the color retention. There was greater variation in green color duration among the CSGs than the WSGs. Across soil systems, color retention differences of 2 to 6 days were observed for the Korean lawngrass, but 7 to 36 days for the CSGs. These results demonstrate that green color retention varied greatly according to soil systems and also among turfgrasses. Selections of turfgrass and soil system should be made using a concept-oriented approach, when establishing garden, park, soccer field, golf course and other sports field. Information obtained in this study can be used to select soil systems and turfgrasses based on the expected degree of leaf color retention.

Comparison of Color Quality, Winter Color, and Spring Green-up among Major Turfgrasses Grown under Three Different Soil Systems (세 종류 잔디지반 구조에서 주요 초종의 엽색품질, 동절기 색상 및 이른 봄 녹화 특성비교)

  • Kim, Kyoung-Nam
    • Horticultural Science & Technology
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    • v.31 no.3
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    • pp.259-268
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    • 2013
  • This study was carried out to evaluate the visual turfgrass's color quality, winter color, and spring green-up under three different soil systems and to make a practical use for sports turf design and construction. Several turfgrasses were evaluated in multi-layer, USGA and mono-layer systems. Turfgrass entries in the study comprised of 3 cultivars from Korean lawngrass (Zoysia japonica Steud.) of typical warm-season grass (WSG) and 3 blends and 3 mixtures from Kentucky bluegrass (KB, Poa pratensis L.), perennial ryegrass (PR, Lolium perenne L.), and tall fescue (TF, Festuca arundinacea Schreb.) of cool-season grass (CSG). Significant differences were observed in the turfgrass's color quality, winter color, and spring green-up in the study. Seasonal variation of visual turf color greatly occurred according to soil systems and turfgrasses. Multi-layer and USGA systems were highly associated with better visual color ratings, as compared with mono-layer system. Regardless of soil system, visual turf color in all entries was better from spring to fall than in winter. Great color differences were observed during a period of early December to early spring. CSG produced a better color quality over WSG in any soil system. Overall color ratings for CSG were KB > PR > Mixtures > TF. As for a winter color, its ranking was USGA > multi-layer > mono-layer system. No difference was found in winter among cultivars of Korean lawngrass, being completely brown, but great differences among CSG. Rated best for winter color was PR, followed by CSG mixtures, KB and finally TF in order. It was generally conceded that fast green-up in spring was greatly related with multi-layer over mono-layer system and also CSG over WSG. Among CSG, TF had a fastest green-up. PR was also fast in green-up, but poor in color uniformity. KB, however, was the slowest due to shallow rooting system, when compared with other CSGs. These results demonstrate color differences were greatly variable according to soil systems and also among turfgrass species. A precise decision should be made in selecting turfgrass species and soil system. Multi-layer and USGA systems were considered as the suitable one for turfgrass color quality, winter color and spring green-up. It is a great necessity to combine proper soil system, right turfgrass species, and appropriate mixing rates by a concept-oriented approach, when establishing garden, parks, soccer field, and golf courses and so on.

Physicochemical Properties of Soil in Pine (Pinus densiflora for. erecta Uyeki) Forests (금강형 소나무림에 있어서 토양의 이화학적 성질)

  • Joo, Sung-Hyun;Jung, Sung-Cheol
    • Current Research on Agriculture and Life Sciences
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    • v.19
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    • pp.31-37
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    • 2001
  • Uyeki(1928) classified Pinus densiflora into six ecotypes(Northeastem type, Middle-southern flat type, middle-southern upland type, Wibong type, Ankang type, and Geumgang type) based on the pine tree type. The bark color of Geumgang type was ash-brown color on the lower parts of stem and yellowed color on the upper parts of stem. We investigated the physicochemical properties of soil forests to obtain basic data for preservation of exellent pine (Pinus densiflora for. erecta Uyeki). The results were as follows; The soil texture of the Pinus densiflora for. erecta Uyeki forests were showed nearly as sandy loam, that is, sand, silt and clay were consisted of 72%, 15% and 13%, respectively. Soil acidity(pH 4.6) was lower than Korea average forest soil acidity(pH 5.2). The average contents of available phosphate was 11.7ppm at Sokwang-ri, 26.8ppm at Mt. Eungbong, 24.2ppm at Mt. Kumma. It was the lowest at Uljin(4.6ppm). The contents of carbon was 6.2% at Mt. Chungok, 6.1% at Mt. Eungbong. This value was more than average of Korea forest soil.

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Effects of Dye Bath Soil Type on Quality of Mat Rush (Juncus decipiens Nakai) (서로 다른 니염토가 골풀의 품질에 미치는 영향)

  • Lim, June-Taeg;Kwon, Byung-Sun;Jung, Dong-Soo;Kae, Bong-Myung;Hyun, Kyu-Hwan;Shin, Dong-Young
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.51 no.spc1
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    • pp.229-232
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    • 2006
  • This study was conducted to select the most suitable dye bath soil of mat rush for good quality. Dry stem weight ranged from 102.5 to 107.0 g, dry stem ratio ranged from 34 to 36%, color of stem ranged from soft gray to heavy gray, degree of softness ranged from high to low and degree of floating ranged from extremely high to low. All the good quality components, such as dry stem weight, dry stem ratio, color of stem, degree of softness and degree of floating showed large variations. Hadong white ceramic soil, the superior dye bath soil of mat rush, showed relatively superior values for all the good quality components with 102.5 g in light dry stem weight, 34% in high dry stem ratio, good color of soft gray in color stem, high in degree of softness and extremely high id degree of floating. The results indicate that dye bath soils shows different adaptabilities to a particular dye bath and Hadong white ceramic soil seems to be the most suitable dye bath soil of mat rush for good quality.