The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans (AGU25)

Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans

Sheikh Fahim Faysal Faysal Sowrav, Bangladesh Maritime University, Department of Oceanography & Hydrography, Dhaka, Bangladesh and Mohan Kumar Das, National Oceanographic And Maritime Institute (NOAMI), Dhaka, Bangladesh
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