Sentinel-2 satellite database for the Tatra Transboundary Biosphere Reserve

Database including cloud-free Sentinel-2 optical imagery cropped for the Tatra Transboundary Biosphere Reserve area. The data was obtained from the Copernicus Data Space Ecosystem - CDSE service, which provides data for the Earth observation programme Copernicus managed by the European Commission and the European Space Agency. Data acquired by the MSI optical multispectral instrument. Data were preprocessed at the L2A processing level, i.e. including atmospheric and geometric correction.The area included two Sentinel-2 scenes (granules): 34UCV and 34UDV, located on orbits 079, 036. Spectral channels (12 bands) were resampled to a common resolution of 10m and the scenes mosaicked with each other. The raster data were then cropped to the extent of the Tatra Transboundary Biosphere Reserve. For each year, one image from the September-October period was selected to allow spectral coherence of the images for analysis. The open-source library GDAL, rasterio and the Python language were used for data processing.Raster data characteristics:Compression: LZW EPSG code: 32634Number of channels: 12Channels order:'B01' - Coastal aerosol (443 nm, 60m resolution)  'B02' - Blue (490 nm, 10m resolution)  'B03' - Green (560 nm, 10m resolution)  'B04' - Red (665 nm, 10m resolution)  'B05' - Vegetation red edge (705 nm, 20m resolution)  'B06' - Vegetation red edge (740 nm, 20m resolution)  'B07' - Vegetation red edge (783 nm, 20m resolution)  'B08' - Near-infrared (NIR) (842 nm, 10m resolution)  'B8A' - Narrow NIR (865 nm, 20m resolution)  'B09' - Water vapor (945 nm, 60m resolution)  'B11' - Shortwave infrared (SWIR) (1610 nm, 20m resolution)  'B12' - Shortwave infrared (SWIR) (2190 nm, 20m resolution)  Research funded by the National Science Centre (NCN), under the project Preludium 22, grant no. 2023/49/N/ST10/00517, entitled: ‘Spruce Forest Damage Assessment Using Machine Learning on Sentinel-2 Time Series in the Tatra Mountains’.