c2smsfloods.yaml

Name: Cloud to Street - Microsoft Flood and Clouds Dataset
Description: This dataset consists of chips of Sentinel-1 and Sentinel-2 satellite data. Each Sentinel-1 chip contains a corresponding label for water and each Sentinel-2 chip contains a corresponding label for water and clouds. Data is stored in folders by a unique event identifier as the folder name. Within each event folder there are subfolders for Sentinel-1 (s1) and Sentinel-2 (s2) data. Each chip is contained in its own sub-folder with the folder name being the source image id, followed by a unique chip identifier consisting of a hyphenated set of 5 numbers. All bands of the satellite data, as well as the labels, and overview images are contained within the chip folder.
Documentation: https://www.drivendata.org/competitions/81/detect-flood-water/
Contact: support@cloudtostreet.info
ManagedBy: "[Radiant Earth Foundation](https://radiant.earth/)"
UpdateFrequency: Not updated
Collabs:
  ASDI:
    Tags:
      - climate
Tags:
  - aws-pds
  - computer vision
  - deep learning
  - machine learning
  - floods
  - geospatial
  - earth observation
  - satellite imagery
  - cog
  - synthetic aperture radar
License: CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/
Resources:
  - Description: Flood and Cloud Training Dataset
    ARN: arn:aws:s3:::radiant-mlhub/c2smsfloods
    Region: us-west-2
    Type: S3 Bucket