ViTCG, a channel-grouped Vision Transformer, retrieves AOD from PACE hyperspectral data with 62% lower MSE than prior foundation models while producing spatially coherent fields.
Improved retrievals of aerosol optical depth and fine mode fraction from goci geostationary satellite data using machine learning over east asia
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Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data
ViTCG, a channel-grouped Vision Transformer, retrieves AOD from PACE hyperspectral data with 62% lower MSE than prior foundation models while producing spatially coherent fields.