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Sentinel-2 with Merged MultiSenGE Groundtruth

This dataset contains Sentinel-2 satellite imagery with corresponding ground truth labels derived from the MultiSenGE benchmark dataset. It is designed for remote sensing and machine learning applications, including land-cover classification, segmentation, and environmental monitoring. More about the original dataset, please visit the MultiSenGE page.

Dataset Description

Source Imagery: Sentinel-2 multispectral satellite images year 2020
Ground Truth: Merged patches derived from MultiSenGE (31TFN, 31UEP, 31UEQ)
Data Format:

Sentinel-2 + Ground truth: multi-band .zarr files (stacked bands and mask)
Sentinel-2 + Ground truth: multi-band .tif files (stacked bands and mask)

Size: 4.16GB compressed in zip
License: CC-BY-4.0 (same as MultiSenGE)

This dataset was generated by:

Downloading the original MultiSenGE ground truth patches.
Merging the patches to form a complete ground truth map.
Convert the labels from level 3 topology to level 1 topology. Ref: Wenger et al., 2022
Downloading corresponding Sentinel-2 imagery.
Stacking the ground truth labels with the Sentinel-2 images for aligned dataset creation.

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