ATCS
| Experiment: | ATCS |
| PIs*: |
|
| Start Time: | |
| End Time: | |
| North: | 90.00000000 |
| South: | -90.00000000 |
| East: | 180.00000000 |
| West: | -180.00000000 |
| Data Types: |
machine_learning
|
| Parameters: |
|
*Listed alphabetically
DOI
10.5067/SeaBASS/ATCS/DATA001
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.
URL
https://github.com/seanremy/atrain-cloudseg
Quick File Search (Preview and bulk download results)
Click here to perform search.