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http://dx.doi.org/10.17820/eri.2019.6.4.243

An Analysis of Spectral Characteristic Information on the Water Level Changes and Bed Materials  

Kang, Joongu (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Lee, Changhun (Nature and Technology Inc.)
Kim, Jihyun (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Ko, Dongwoo (Nature and Technology Inc.)
Kim, Jongtae (Nature and Technology Inc.)
Publication Information
Ecology and Resilient Infrastructure / v.6, no.4, 2019 , pp. 243-249 More about this Journal
Abstract
The purpose of this study is to analyze the reflectance of bed materials according to changes in the water level using a drone-based hyperspectral sensor. For this purpose, we took hyperspectral images of bed materials such as soil, gravel, cobble, reed, and vegetation to compare and analyze the spectral data of each material. To adjust the water level, we constructed an experimental channel to control the discharge and installed the bed materials within the channel. In this study, we configured 3 cases according to the water level (0.0 m, 0.3 m, 0.6 m). After the imaging process, we used the mean value of 10 points for each bed material as analytical data. According to the analysis, each material showed a similar reflectance by wavelength and the intrinsic reflectance characteristics of each material were shown in the visible and near-infrared region. Also, the deeper the water level, the lower the peak reflectance in the visible and near-infrared region, and the rate of decrease differed depending on the bed material. We expect the intrinsic properties of these bed materials to be used as basic research data to evaluate river environments in the future.
Keywords
Bed material; Hyperspectral sensor; Reflectance; Visible region; Water level;
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Times Cited By KSCI : 5  (Citation Analysis)
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