Support data for paper "Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8 and Sentinel-2: all bands, any time, at best spatial resolution"

Description This dataset contains support data for the following paper: Julien Michel, Jordi Inglada. Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8 and Sentinel-2: all bands, any time, at best spatial resolution. 2025. ⟨hal-05101526⟩ It contains two zip files: model.zip : The pre-trained TAMRFSITS model and its hydra configuration, to be used with test script in source code (see https://github.com/Evoland-Land-Monitoring-Evolution/tamrfsits) results.zip : CSV files containing the results presented in the paper, as well as additional result data. Licence Creative Commons Attribution 4.0 InternationalThe Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Acknowledgments This work was partly performed using HPC resources from GENCI-IDRIS (Grant 2023-AD010114835) This work was partly performed using HPC resources from CNES Computing Center. The authors acknowledge funding from the EvoLand project (Evolution of the Copernicus Land Service portfolio, grant agreement No 101082130) funded from the European Union's Horizon Europe research and innovation program.