--- license: cc-by-4.0 --- # SSL4EO-EU-Forest
Sentinel-2 L2A winter scene
Sentinel-2 winter scene
Sentinel-2 L2A winter scene
tree (green) segmentation
tree (green) segmentation
Sentinel-2 summer scene
tree (green) segmentation
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 Spatial Distribution of SSL4EO-EU-Forest ## 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`.