With an increasing number of satellite systems and applications one can see a growing demand for data at universities and research institutions. Department of Applied Geoinformatics and Cartography have installed a receiving station for continuously acquiring data from the following selected satellite systems – Envisat (Meris), MSG second generation, NOAA and Metop. This system represents a very intensive daily data flow. Received data are filtered and stored within disk arrays and magnetic tapes. These steps need to be taken prior to data storage in file systems. SDI was created with an emphasis on a simple common gateway to the spatial data at the Faculty of Science.

It is important to have a general access to search this data with a newly received data. The implemented features have to manage following tasks-search based on location, search based on resolution, search based on descriptive metadata, etc.

In the paper we shall describe reprocessing raster datasets, in a sense of getting information for SDI. In this context the methods are the same for all satellite sources – read data, select appropriate data to store (automatic filter or application specific selection), creation footprints which are inserted in a spatial database and creating metadata in standard way.