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http://dx.doi.org/10.12814/jkgss.2021.20.4.141

A study on Reliability Analysis for Prediction Technology of Water Content in the Ground using Hyperspectral Informations  

Lee, Kicheol (UCI Tech Co. Ltd.)
Ahn, Heechul (Institute of Technology Research and Development, Korea Engineering & Construction)
Park, Jeong-Jun (Incheon Disaster Prevention Research Center, Incheon National University)
Cho, Jinwoo (Construction Automation Research Center, Korea Institute of Civil Engineering and Building Technology)
You, Seung-Kyong (Dept. of Civil Engineering, Myongji College)
Hong, Gigwon (Dept. of Civil and Disaster Prevention Engineering, Halla University)
Publication Information
Journal of the Korean Geosynthetics Society / v.20, no.4, 2021 , pp. 141-149 More about this Journal
Abstract
In this study, an laboratory experiment was performed for prediction technology of water content in the ground using hyperspectral information. And the spectral reflectance with a specific wavelength band was obtained according to the fine and water content. Through it, the spectral information was normalized with the spectral index of the existing literature, and the relationship with the fine and water contents and the reliability of the prediction technology were analyzed. As a result of analysis, the spectral reflectance is decreased when the water and fine contents are increased under the high water contents. In addition, the reliability of prediction technology of water content was evaluated by examining 7 different spectral index calculation methods. Among them, DVI showed relatively high prediction reliability and was superior to other calculation methods in terms of sensitivity.
Keywords
Water content; Spectral information; Spectral reflectance; Hyperspetral sensor; Spectrum index;
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Times Cited By KSCI : 1  (Citation Analysis)
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