TY - JOUR
T1 - Understanding soil surface water content using light reflection theory
T2 - A novel color analysis technique considering variability in light intensity
AU - Gadi, Vinay Kumar
AU - Garg, Ankit
AU - Manogaran, Indu Priya
AU - Sekharan, Sreedeep
AU - Zhu, Hong Hu
N1 - Publisher Copyright:
Copyright © 2018 by ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Accurate measurement of soil surface water content is vital for analyzing evaporation, partition of solar radiation, infiltration, and runoff. Color analysis of soil has already been found to be a nonintrusive, economical, and feasible approach for the measurement of surface water content. However, color contrast within the soil domain was rarely considered in color analysis approaches demonstrated by previous researchers. This color contrast occurs because of the spatial heterogeneity of light intensity in the soil domain. This study aims to demonstrate and validate a new color analysis technique for overcoming the shortcomings of previous approaches. Six series of tests were conducted to analyze the color of red soil at various surface water contents. In addition, six measured dry densities on the compaction curve were selected for validation of the proposed color analysis technique. Soil has been compacted by hand to the desired state of compaction in a small mold. Images of soil samples were captured using a commercially available camera model (NIKON COOLPIX L29, Nikon, Tokyo, Japan). The brightness variation of soil samples was quantified using the change in mean gray value of the images. A white paper was placed below the mold to consider color contrast within the soil samples. Mean gray values of all test samples were obtained using a public domain image processing program called ImageJ. Color contrast within the soil samples was equalized with respect to reference locations considered on the white paper. Mean gray value was found to decrease with the increase in surface water content. Decrement in mean gray value was found to be more significant (i.e., 14-27 %) in saturation and desaturation zones of soil water characteristic curves (SWCCs) as compared to that in the residual zone (i.e., 3-9 %) with a 3-4 % increase in surface water content. A correlation between mean gray value and surface water content was established for the red soil.
AB - Accurate measurement of soil surface water content is vital for analyzing evaporation, partition of solar radiation, infiltration, and runoff. Color analysis of soil has already been found to be a nonintrusive, economical, and feasible approach for the measurement of surface water content. However, color contrast within the soil domain was rarely considered in color analysis approaches demonstrated by previous researchers. This color contrast occurs because of the spatial heterogeneity of light intensity in the soil domain. This study aims to demonstrate and validate a new color analysis technique for overcoming the shortcomings of previous approaches. Six series of tests were conducted to analyze the color of red soil at various surface water contents. In addition, six measured dry densities on the compaction curve were selected for validation of the proposed color analysis technique. Soil has been compacted by hand to the desired state of compaction in a small mold. Images of soil samples were captured using a commercially available camera model (NIKON COOLPIX L29, Nikon, Tokyo, Japan). The brightness variation of soil samples was quantified using the change in mean gray value of the images. A white paper was placed below the mold to consider color contrast within the soil samples. Mean gray values of all test samples were obtained using a public domain image processing program called ImageJ. Color contrast within the soil samples was equalized with respect to reference locations considered on the white paper. Mean gray value was found to decrease with the increase in surface water content. Decrement in mean gray value was found to be more significant (i.e., 14-27 %) in saturation and desaturation zones of soil water characteristic curves (SWCCs) as compared to that in the residual zone (i.e., 3-9 %) with a 3-4 % increase in surface water content. A correlation between mean gray value and surface water content was established for the red soil.
KW - Color analysis approach
KW - Color contrast
KW - Mean gray value
KW - Surface water content
UR - http://www.scopus.com/inward/record.url?scp=85063419943&partnerID=8YFLogxK
U2 - 10.1520/JTE20180320
DO - 10.1520/JTE20180320
M3 - Article
AN - SCOPUS:85063419943
SN - 0090-3973
VL - 48
JO - Journal of Testing and Evaluation
JF - Journal of Testing and Evaluation
IS - 5
M1 - JTE20180320
ER -