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Abstract: From Data to Discovery: Visualizing Inputs, Reconstructions, and Artifacts in Spatiotemporal Foundation Models with SatVision‑Pix4D (AGU25)

From Data to Discovery: Visualizing Inputs, Reconstructions, and Artifacts in Spatiotemporal Foundation Models with SatVision‑Pix4D

Seneca Oehrle1, Jordan Caraballo-Vega2, Jie Gong3, Stephen Zhang4, Sidh Jaddu5, Mark Carroll2, Jian Li6, Gregory Elsaesser7 and Leah Ding8, (1)Sidwell Friends School, Hyattsville, MD, UNITED STATES, (2)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Montgomery Blair High School, Potomac, United States, (5)Thomas Jefferson High School for Science and Technology, Fairfax, VA, UNITED STATES, (6)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, MD, United States, (7)Columbia University/NASA GISS, New York, United States, (8)American University, Department of Computer Science, Washington, DC, United States