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Cloud to Street - Microsoft Flood and Clouds Dataset

cog computer vision deep learning earth observation floods geospatial machine learning satellite imagery synthetic aperture radar


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.

Update Frequency

Not updated




Managed By

See all datasets managed by Radiant Earth Foundation.


How to Cite

Cloud to Street - Microsoft Flood and Clouds Dataset was accessed on DATE from

Resources on AWS

  • Description
    Flood and Cloud Training Dataset
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://radiant-mlhub/c2smsfloods/

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