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 |
|---|---|---|---|
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| This dataset's landing page | HTML | Detailed information about the SeaBASS Experiment such as cruises, funding, and investigators | Open resource |