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Abstract: A Remote Sensing and Machine Learning-Based Approach for Monitoring Decadal Algal Bloom Trends in New York, USA Inland Lakes (AGU25)

A Remote Sensing and Machine Learning-Based Approach for Monitoring Decadal Algal Bloom Trends in New York, USA Inland Lakes

Jillian Greene, North Carolina State University Raleigh, Raleigh, NC, United States, Leonid Metlitsky, Cornell University, New York, United States; Cornell University, College of Agriculture and Life Sciences, Ithaca, United States, Reginald Blake, CUNY New York City College of Technology, Brooklyn, United States and Hamid Norouzi, CUNY New York City College of Technology, Civil Engineering Department, Brooklyn, NY, United States; New York City College of Technology, CUNY, Brooklyn, United States
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