This study was carried out to apply the UAV(Unmanned Aerial Vehicle) coupled with Multispectral sensor for the algae bloom monitoring in river. The study acquired remote sensing data using UAV on the midstream area of Gum River, one of four major rivers in South Korea. Normalized difference vegetation index (NDVI) is used for monitoring algae change. This study conducted water sampling and analysis in the field for correlating with NDVI values. Among the samples analyzed, the chlorophyll concentration exhibited strong and significant linear relationships with NDVI, and thus NDVI was chosen for algae bloom index to identify emergence aspect of phytoplankton in river. Aerial remote sensing technology can provide more accurate, flexible, cheaper, and faster monitoring methods of detecting and predicting eutrophication and therefore cyanobacteria bloom in water reservoirs compared to currently used technology. As a result, there was high level of correlation in chlorophyll-a and NDVI. It is expected that when this remote water quality and pollution monitoring technology is applied in the field, it would be able to improve capabilities to deal with the river water quality and pollution at the early stage.

• 김은주(한국건설기술연구원) | Eunju, Kim (Korea Institute of Civil Engineering and Building Technology)
• 남숙현(한국건설기술연구원) | Sookhyun, Nam (Korea Institute of Civil Engineering and Building Technology)
• 구재욱(한국건설기술연구원) | Jae-Wuk, Koo (Korea Institute of Civil Engineering and Building Technology)
• 이새로미(한국건설기술연구원) | Saromi, Lee (Korea Institute of Civil Engineering and Building Technology)
• 안창혁(한국건설기술연구원) | Changhyuk, Ahn (Korea Institute of Civil Engineering and Building Technology)
• 박재로(한국건설기술연구원) | Jerhoh, Park (Korea Institute of Civil Engineering and Building Technology)
• 박정일(호정솔루션) | Jungil, Park (HOJUNG SOLUTION Incoporation)
• 황태문(한국건설기술연구원) | Tae-Mun, Hwang (Korea Institute of Civil Engineering and Building Technology) Corresponding author