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Melissa M. Baustian

U.S. Geological Survey

Reston, VA

United States

  • U.S. Geological Survey

SCHOLARLY PAPERS

2

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134

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Scholarly Papers (2)

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1.

Hyperspectral Retrieval of Phytoplankton Absorption and Community Composition from NASA’s PACE-OCI in Estuarine–Coastal Waters using a Hybrid Framework Combining Mixture-of-Experts and Variational Autoencoder

Number of pages: 40 Posted: 02 Sep 2025
Xingyu Bai, Bingqing Liu, Jiang Li, Yuanheng Xiong, Eurico D'Sa, Melissa M. Baustian, Xiaodong Zhang, Brice K. Grunert, Chisom O. Emeghiebo, Cassie Glasspie and Xu Yuan
University of Delaware, University of Louisiana at Lafayette, University of Louisiana at Lafayette, affiliation not provided to SSRN, Louisiana State University, Baton Rouge, U.S. Geological Survey, University of Southern Mississippi, Cleveland State University, University of Louisiana at Lafayette, Louisiana State University, Baton Rouge and University of Delaware
Downloads 76 (837,727)

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Phytoplankton absorption, Phytoplankton Community Composition (PCC), Mixture of Expert (MoE), Variational Autoencoder (VAE), hyperspectral, PACE-OCI

2.

Short-Term Estuarine Phytoplankton Dynamics in Response to Hurricanes Along the Gulf Coast: A Global Variational Autoencoder (Gvae) Approach with Satellite and Bio-Optical Observations

Number of pages: 40 Posted: 20 May 2025
Jiang Li, Bingqing Liu, Jiadong Lou, Xu Yuan, Eurico D'Sa, Melissa M. Baustian, Megan La Peyre, Angelina Freeman, Vitor S. Martins and Emad Habib
University of Louisiana at Lafayette, University of Louisiana at Lafayette, University of Delaware, University of Delaware, Louisiana State University, Baton Rouge, U.S. Geological Survey, U.S. Geological Survey, affiliation not provided to SSRN, Mississippi State University and University of Louisiana at Lafayette
Downloads 58 (989,921)

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Chlorophyll a, Phytoplankton community composition, Hurricanes, Estuaries, Machine learning, Global Variational Autoencoder (GVAE), Sentinel 2-MSI