derived data flood machine learning mlhub-label open data raster
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 and the cloud/cloud shadow label for Sentinel-2. For a detailed description of the methods used to generate these labels, please refer to the original paper.
10m
(-96.63°, -25.25°, 141.12°, 48.75°)
12 August 2016 - 20 October 2020
Static data
Name | Description |
---|---|
water | flood extent |
cloud | cloud and cloud shadow mask |
Cloud to Street - Microsoft and Source Cooperative
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ca1eb42a-25ab-42a7-a139-b8dbd523258c