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
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FSeaBASS%2FATCS%2FDATA001
21 Detailed information about the SeaBASS Experiment such as cruises, funding, and investigators https://seabass.gsfc.nasa.gov/experiment/ATCS/

Tags

  • salinity-density
  • oceans
  • ocean-temperature
  • ocean-optics
  • ocean-chemistry
  • earth-science

Topics

Categories