Radiant MLHub

Cloud to Street - Microsoft flood dataset

The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, as well as a cloud/cloud shadow mask for Sentinel-2. The dataset was constructed by Cloud to Street in collaboration with and funded by the Microsoft Planetary Computer team.

Dataset ID

c2smsfloods_v1

DOI

10.34911/rdnt.oz32gz

Creator

Cloud to Street

Contact

support@cloudtostreet.info

Documentation

Citation

Cloud to Street, Microsoft, Radiant Earth Foundation. (2022). A global flood events and cloud cover dataset (Version 1.0).[Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.oz32gz

Python Client example

from radiant_mlhub import Dataset

ds = Dataset.fetch('c2smsfloods_v1')
for c in ds.collections:
    print(c.id)

Python Client quick-start guide

Download Dataset

Source Imagery Collections

Description

Sentinel-2 data for the Cloud to Street - Microsoft flood dataset

License

CC-BY-4.0

Collection ID

c2smsfloods_v1_source_s2

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Description

Sentinel-1 data for the Cloud to Street - Microsoft flood dataset

License

CC-BY-4.0

Collection ID

c2smsfloods_v1_source_s1

Download

Labels Collections

Description

Sentinel-2 water labels for the Cloud to Street - Microsoft flood dataset

License

CC-BY-4.0

Collection ID

c2smsfloods_v1_labels_s2_water

Download

Description

Sentinel-2 cloud/shadow labels for the Cloud to Street - Microsoft flood dataset

License

CC-BY-4.0

Collection ID

c2smsfloods_v1_labels_s2_cloud

Download

Description

Sentinel-1 water labels for the Cloud to Street - Microsoft flood dataset

License

CC-BY-4.0

Collection ID

c2smsfloods_v1_labels_s1_water

Download


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