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SEN12 Global Urban Mapping Dataset

<p>The SEN12 Global Urban Mapping (SEN12_GUM)&nbsp;dataset consists of Sentinel-1 SAR (VV + VH band)&nbsp;and Sentinel-2 MSI (10 spectral bands) satellite images acquired over the same area&nbsp;for 96 training and validation sites&nbsp;and an additional 60 test sites covering unique geographies across the globe. The satellite imagery was&nbsp;acquired as part of the European Space Agency&#39;s Earth observation program Copernicus&nbsp;and was preprocessed in Google Earth Engine. Built-up area&nbsp;labels for the 30 training and validation sites located in the United States, Canada, and Australia were&nbsp;obtained from Microsoft&#39;s open-access building footprints. The other 66 training sites located outside of the United States, Canada, and Australia are unlabeled but can be used for semi-supervised learning. Labels&nbsp;obtained from the SpaceNet7 dataset&nbsp;are provided&nbsp;for all 60 test sites.&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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