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http://dx.doi.org/10.5322/JESI.2022.31.10.869

Evaluation of Compaction Quality using High-resolution Terrain Factor and Soil Moisture  

Kim, Sung-Wook (Geo-information Research Group Co. Ltd.)
Go, Daehong (Geo-information Research Group Co. Ltd.)
Lee, Yeong-Jae (Geo-information Research Group Co. Ltd.)
Choi, Eun-Kyeong (Geo-information Research Group Co. Ltd.)
Kim, Jin-Young (Korea Institute of Civil Engineering and Building Technology)
Kim, Ji-Sun (Korea Institute of Civil Engineering and Building Technology)
Cho, Jin-Woo (Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Environmental Science International / v.31, no.10, 2022 , pp. 869-881 More about this Journal
Abstract
In this study, a field study was conducted to investigate the relationship between high-resolution remote images and the volumetric moisture, and the number of compaction. Changes in the shape of the surface and soil moisture content were observed and correlated with the number of compactions using roller equipment. As the compaction is repeated, the surface is flattened and the terrain curvature decreases and converges to zero. In particular, the tangential curvature changes as the number of compactions increase. Due to soil compaction, the vegetation index changed from a positive to a negative value, and most of the test site area was homogenized with a negative index. This suggests a decrease in porosity and an increase in volumetric water content associated with increasing soil compaction. Soil moisture, measured using a frequency domain reflectometry(FDR) sensor, tends to increase proportionately with the number of vibration compactions, but the correlation between the number of compactions and soil moisture is unclear. This study suggests that while it is necessary to consider the reproducibility of the experiments performed, the compaction quality of the soil can be evaluated using high-resolution terrain factors and soil moisture.
Keywords
Compaction; Terrain factors; Volumetric water content; Vegetation index;
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Times Cited By KSCI : 4  (Citation Analysis)
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