The Sentinels are a fleet of seven types of satellites that provide various freely accessible data and images for the European Commission's Copernicus programme. One of these satellites is Sentinel-2, whose data was used in this project.
The main mission objectives of Sentinel-2, consisting of the two satellites Sentinel-2A and Sentinel-2B, are to acquire global high-resolution multispectral imagery with a high repetition rate and to provide information in the form of land cover maps, land change detection maps and geophysical variables. Consequently, Sentinel-2 contributes directly to global land monitoring, disaster management and security services.
At the Federal Institute for Agricultural Economics and Mining Research (BAB), Sentinel-2 data for the whole of Austria for the years 2017 and 2018 could be obtained in a test run and a terrain and atmospheric correction was successfully carried out.
In total, more than 3000 scenes could be processed with the open-source software Sen2-Agri. In a further step, the following "Essential Climate Variables" could be calculated for the whole of Austria at a spatial resolution of 10m:
Leaf Area Index
Fraction of green Vegetation Cover
Fraction of Absorbed Photosynthetically Active Radiation
The data were successfully used for the monitoring of Austrian biotope types.
Based on the experience gained with raster data (storage space, performance), it was started to outsource data to an OpenDataCube.
The OpenDataCube is an open source software developed for processing and storing large amounts of raster data. Furthermore, it is also possible to distribute and provide the data and results of the OpenDataCube via OGC compliant services such as WMS & WCS.
When importing the data (ingest) into the cube, special emphasis is placed on keeping all raster layers in a unit grid such as the European Statistical Grid (ETRS89 LAEA). This has the great advantage that every raster cell in the cube refers to the same origin and thus no inaccuracies can arise in the analyses in the cube. Such grid systems also play an important role in the field of spatial statistics.
The know-how gathered in the course of the work with the OpenDataCube should subsequently enable a new provision basis in the BMLRT departmental GIS for raster data with the Datacube technology. To date, the data has been distributed among the departments via the GDS-GDI (HDs), with this geodata collection being released every six months with new updates to the data. Another advantage of providing OGC-compliant services via the OpenDataCube can thus be seen in the immediate availability of the raster data.
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