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http://dx.doi.org/10.3741/JKWRA.2015.48.2.79

Estimation of Water Quality using Landsat 8 Images for Geum-river, Korea  

Lim, Jisang (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.)
Baik, Jongjin (Dept. of Civil, Architectural and Environmental System Engineering, Sungkyunkwan Univ.)
Kim, Hyunglok (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.)
Choi, Minha (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.)
Publication Information
Journal of Korea Water Resources Association / v.48, no.2, 2015 , pp. 79-90 More about this Journal
Abstract
In this study, the water quality parameters of Geum-river were estimated using Landsat 8 satellite image data which had launched in March 2013. The goal of this research is to predict HAB and to monitor spatial pattern of total nitrogen (TN) and total phosphorus (TP) because both TN and TP are the dominant factors of the growth of harmful algal blooms (HABs). To investigate the relationship between satellite band reflectance and in situ measurement value, Pearson' correlation coefficient analysis was used. The band2, 3, 4 and 5 reflectance values among 11 bands of Landsat 8 were used which was highly associated with detecting TN and TP. The 20 in situ data set with satellite's overpass time were identified. TN showed positive relation with band 2 (0.48), band3 (0.62), band4 (0.57) at a significance level of p<0.05. TP also showed high correlation for band2 (0.59), band3 (0.59), band4 (0.58) at a significance level of p<0.01. The optimal regression equation models were constructed for TN and TP based on multiple regression equations. The estimated concentration based on derived regression equations of TN and TP were compared with in situ measurement data. Finally, the spatial pattern of the two parameters was able be monitored through mapping on November 12, 2013 and April 21, 2014.
Keywords
Landsat 8; Geum-river; water quality; nitrogen; phosphorus;
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Times Cited By KSCI : 4  (Citation Analysis)
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