A big data-driven model for water quality estimation with high spectral and spatial resolution imagery

JongCheol Pyo1, Hongtao Duan2, Sangsoo Baek3, Taegyun Jean4, Moon Sung Kim5, Yong Sung Kwon3, Hyuk Lee6 and Kyung Hwa Cho7, (1)Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South), (2)Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China, (3)Ulsan National Institute of Science and Technology, Ulsan, South Korea, (4)SI Analytics Co., Ltd, Daejeon, South Korea, (5)USDA-ARS, Beltsville, United States, (6)National Institute of Environmental Research, Incheon, South Korea, (7)School of Urban and Environmental Engineering, Ulsan National Institute Science and Technology (UNIST), Ulsan, South Korea