Datasets:
metadata
license: cc-by-4.0
SSL4EO-EU-Forest
Sentinel-2 winter scene |
tree (green) segmentation |
![]() Sentinel-2 summer scene |
![]() tree (green) segmentation |
Introduction
The dataset is an add-on to the globally sampled SSL4EO-S12 pre-training dataset (https://doi.org/10.1109/MGRS.2023.3281651) where v1.1 is available at https://huggingface.co/datasets/embed2scale/SSL4EO-S12-v1.1 with downstream tasks provides https://huggingface.co/datasets/embed2scale/SSL4EO-S12-downstream .
Data Characteristics
SSL4EO-EU-Forest provides an additional downstream task for binary semantic segmentation of forest land cover as follows:
- It curates 16K spatial patches (264x264 pixels) of Sentinel-2 L2A imagery (12 bands upsampled to 10m pixel resolution) over European forests.
- Each geolocation contains four Sentinel-2 timestamps from all seasons of year 2018.
- The cloud cover in each scene is below 10%.
- Binary forest masks have been derived from the 2018 HRL dataset (https://doi.org/10.2909/486f77da-d605-423e-93a9-680760ab6791) available through the Copernicus Land Monitoring Service, cf. https://land.copernicus.eu/en/products/high-resolution-layer-forests-and-tree-cover/dominant-leaf-type-2018-raster-10-m-europe-yearly .
Spatial Coverage
Funding
This work was carried under the EvoLand project. This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101082130.

