AI RESEARCH
Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data
arXiv CS.CV
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ArXi:2605.00678v1 Announce Type: new Aerosol Optical Depth (AOD) retrieval is essential for Earth observation, ing applications from air quality monitoring to climate studies. Conventional physics-based AOD retrieval methods formulate the problem as a pixel-wise inversion, relying on radiative transfer modeling, memory-intensive look-up tables, and auxiliary meteorological data. While recent data-driven approaches have shown promise, many fail to exploit the spatial-spectral coherence of hyperspectral imagery, leading to spatially inconsistent and noise-sensitive retrievals.