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The A-Train Cloud Segmentation Dataset

Published by NASA/GSFC/SED/ESD/GCDC/OB.DAAC;NASA/GSFC/SED/ESD/GCDC/SeaBASS | National Aeronautics and Space Administration | Catalog Last Checked: June 09, 2026 at 08:57 PM | Dataset Last Updated: June 08, 2026
ATCS is a dataset designed to train deep learning models to volumetrically segment clouds from multi-angle satellite imagery. The dataset consists of spatiotemporally aligned patches of multi-angle polarimetry from the POLDER sensor aboard the PARASOL mission and vertical cloud profiles from the 2B-CLDCLASS product using the cloud profiling radar (CPR) aboard CloudSat.

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