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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.16

Development of a Storage Level and Capacity Monitoring and Forecasting Techniques in Yongdam Dam Basin Using High Resolution Satellite Image  

Yoon, Sunkwon (Department of Safety and Disaster Prevention Research, Seoul Institute of Technology)
Lee, Seongkyu (Climate Services and Research Department, APEC Climate Center)
Park, Kyungwon (Climate Services and Research Department, APEC Climate Center)
Jang, Sangmin (Climate Services and Research Department, APEC Climate Center)
Rhee, Jinyung (Climate Services and Research Department, APEC Climate Center)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 1041-1053 More about this Journal
Abstract
In this study, a real-time storage level and capacity monitoring and forecasting system for Yongdam Dam watershed was developed using high resolution satellite image. The drought indices such as Standardized Precipitation Index (SPI) from satellite data were used for storage level monitoring in case of drought. Moreover, to predict storage volume we used a statistical method based on Principle Component Analysis (PCA) of Singular Spectrum Analysis (SSA). According to this study, correlation coefficient between storage level and SPI (3) was highly calculated with CC=0.78, and the monitoring and predictability of storage level was diagnosed using the drought index calculated from satellite data. As a result of analysis of principal component analysis by SSA, correlation between SPI (3) and each Reconstructed Components (RCs) data were highly correlated with CC=0.87 to 0.99. And also, the correlations of RC data with Normalized Water Surface Level (N-W.S.L.) were confirmed that has highly correlated with CC=0.83 to 0.97. In terms of high resolution satellite image we developed a water detection algorithm by applying an exponential method to monitor the change of storage level by using Multi-Spectral Instrument (MSI) sensor of Sentinel-2 satellite. The materials of satellite image for water surface area detection in Yongdam dam watershed was considered from 2016 to 2018, respectively. Based on this, we proposed the possibility of real-time drought monitoring system using high resolution water surface area detection by Sentinel-2 satellite image. The results of this study can be applied to estimate of the reservoir volume calculated from various satellite observations, which can be used for monitoring and estimating hydrological droughts in an unmeasured area.
Keywords
High resolution satellite; storage level; storage volume; Principle Component Analysis; Drought Monitoring;
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Times Cited By KSCI : 5  (Citation Analysis)
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