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.
N: 90.0 S: -90.0 E: 180.0 W: -180.0
|Temporal Extent:||Platform(s):||In Situ Ocean-based Platforms|
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|Coverage Type||Zone Identifier||Geometry||Granule Representation|
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