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Abstract: Spatio‑temporal and dynamic prediction of water quality changes (turbidity, chlorophyll-a and colour dissolved organic matter) using multi‑sensor data fusion: satellite, UAV, and cloud‑based modeling (AGU25)

Spatio‑temporal and dynamic prediction of water quality changes (turbidity, chlorophyll-a and colour dissolved organic matter) using multi‑sensor data fusion: satellite, UAV, and cloud‑based modeling

Abhinav Galodha, Indian Institute of Technology Delhi, School of Interdisciplinary Research (SIRe), New Delhi, India, Maria Peppa, Newcastle University, School of Engineering (SoE), Tyne and Wear, United Kingdom, Sam Wilson, Newcastle University, School of Natural and Environmental Sciences (SNES), Tyne and Wear, United Kingdom, Sanya Anees Assi, Netaji Subhas University of Technology (NSUT), Department of Electronics and Communications Engineering (DECE), Delhi, India, Brejesh Lall Prof, Indian Institute of Technology Delhi, Department of Electrical Engineering, New Delhi, India and Shaikh Ziauddin Ahammad Prof, Indian Institute of Technology Delhi, Department of Biochemical Engineering and Biotechnology, New Delhi, India
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