Sentinel 2 data cube - 92 scenes over Switzerland spanning 5 years

The Sentinel-2 multispectral data cube includes 92 scenes  (411 x 509) across Switzerland, T32TLT, between 2018 and 2022, all band at 10m resolution The area of interest shows a diverse landscape, including regions covered by forests that have undergone changes, agriculture and urban areas. Data sampling across the data cube is not uniform, in each year there are 4 cloud-free scenes in July and no scenes in January or December. The  Sentinel-2 data cube benefits from the super-resolution mechanism implemented in [1] based on fully convolutional neural networks (CNNs) for up-sampling the low-resolution spectral bands of Sentinel-2 satellites up to 10m spatial resolution.  [1] V. Vasilescu, M. Datcu and D. Faur, A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training, IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1-14, Jan. 2023.