Description
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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Original Metadata | Unknown | The metadata's original source. | Open resource |
| Web Resource | Binary | ||
| Web Resource | Binary | Open resource |