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The A-Train Cloud Segmentation Dataset

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EarthData by NASA2024-12-07 收录
下载链接:
https://doi.org/10.5067/SeaBASS/ATCS/DATA001
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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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