Cloud to Street - Microsoft Flood Dataset - Sentinel-1

derived data flood machine learning mlhub-label open data raster

Description

The Cloud to Street - Microsoft Flood Dataset (C2S-MS Floods) is a dataset of near-coincident Sentinel-1 and Sentinel-2 data paired with water labels from 18 global flood events. These labels are derived products of MODIS sensor on board NASA's Aqua and Terra satellites produced as a part of the study, "Satellite imaging reveals increased proportion of population exposed to floods," Nature (2021), doi: 10.1038/s41586-021-03695-w. In this collection, we keep the water label which represents the maximum observed flood extent during the time period of the event. For a detailed description of the methods used to generate these labels, please refer to the original paper.

Additional info

Additional info

Resolution

10m

Geographical coverage

(-96.63°, -25.25°, 141.12°, 48.75°)

Temporal availability

12 August 2016 - 20 October 2020

Update Frequency

Static data

Band Information

NameDescription
waterflood extent

License

CC BY 4.0

Provider

Cloud to Street - Microsoft and Source Cooperative

Managed By

Sentinel Hub

See all datasets managed by Sentinel Hub.

Contact

support@cloudtostreet.info

Usage Examples

Publications

    Sentinel Hub Resources

  • End point
    https://services.sentinel-hub.com
    Type
    byoc-f8d459c2-8356-40b8-8bd9-d17a20f7dbb9
    collectionId
    f8d459c2-8356-40b8-8bd9-d17a20f7dbb9
    Notes
    18 global flood events, 2016-2020

Edit this collection entry on GitHub

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