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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

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.

Update Frequency

Not updated

License

CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/

Documentation

https://www.drivendata.org/competitions/81/detect-flood-water/

Managed By

See all datasets managed by Radiant Earth Foundation.

Contact

support@cloudtostreet.info

How to Cite

Cloud to Street - Microsoft Flood and Clouds Dataset was accessed on DATE from https://registry.opendata.aws/c2smsfloods.

Resources on AWS

  • Description
    Flood and Cloud Training Dataset
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::radiant-mlhub/c2smsfloods
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://radiant-mlhub/c2smsfloods/

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