The A-Train Cloud Segmentation Dataset
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 |
|
5 |
|
https://seabass.gsfc.nasa.gov%2Fexperiment%2FATCS%2F |
|
5 |
|
https://seabass.gsfc.nasa.gov/experiment/ATCS/ |
|
0 |
The metadata's original source. |
https://cmr.earthdata.nasa.gov/search/concepts/C2172083412-OB_DAAC.iso19115 |
Tags
- earth-science-ocean-chemistry-oceans
- earth-science-salinity-density-oceans
- earth-science-ocean-temperature-oceans
- earth-science-ocean-optics-oceans