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Abstract: US-Wide Assessment of a Physics-informed AI Framework for Cyanobacteria Biomass Estimation: First Results from NASA’s Hyperspectral PACE Mission (AGU25)

US-Wide Assessment of a Physics-informed AI Framework for Cyanobacteria Biomass Estimation: First Results from NASA’s Hyperspectral PACE Mission

Chintan Maniyar1, Deepak R Mishra1, Abhishek Kumar1, Gengchen Mai2, Ryan E. O'Shea3,4, Arun Saranathan3,4, Akash Ashapure3,4, Isabella Fiorentino1 and Nima Pahlevan4, (1)University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States, (2)University of Texas at Austin, Spatially Explicit Artificial Intelligence Lab, Department of Geography and the Environment, Austin, United States, (3)Science Systems and Applications Inc., Lanham, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States
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