To enhance the spatial resolution and utility of PASTIS-R dataset, we introduce PASTIS-HD, which integrates contemporaneous VHR satellite images (SPOT 6-7), resampled to a 1m resolution and converted to 8 bits. This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation. This folder can be added to the PASTIS-R dataset to get the PASTIS-HD version.The SPOT images are opendata thanks to the Dataterra Dinamis initiative in the case of the "Couverture France DINAMIS" program. If you use PASTIS please cite the related paper: @article{garnot2021panoptic, title={Panoptic Segmentation of Satellite Image Time Serieswith Convolutional Temporal Attention Networks}, author={Sainte Fare Garnot, Vivien and Landrieu, Loic }, journal={ICCV}, year={2021}} For the PASTIS-R optical-radar fusion dataset, please also cite this paper: @article{garnot2021mmfusion, title = {Multi-modal temporal attention models for crop mapping from satellite time series}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, year = {2022}, doi = {https://doi.org/10.1016/j.isprsjprs.2022.03.012}, author = {Vivien {Sainte Fare Garnot} and Loic Landrieu and Nesrine Chehata}, } For the PASTIS-HD with the 3 modality optical-radar time series plus VHR images dataset, please also cite this paper: @article{astruc2024omnisat, title={Omni{S}at: {S}elf-Supervised Modality Fusion for {E}arth Observation}, author={Astruc, Guillaume and Gonthier, Nicolas and Mallet, Clement and Landrieu, Loic}, journal={arXiv preprint arXiv:2404.08351}, year={2024}}