  The environmental hazards and climate change effects causes serious problems
in land and coastal areas. A solution to this problem can be the periodic
monitoring over critical areas, like coastal region with heavy industrial
activity (i.e., ship-buildings) or areas where a disaster (i.e., oil-spill) has
occurred. Today there are several Earth and non-Earth Observation data
available from several data providers. These data are huge in size and usually
it is needed to combine several data from multiple sources (i.e., data with
format differences) for a more effective evaluation. For addressing these
issues, this work proposes the Ocean-DC framework as a solution in data
harmonization and homogenization. A strong advantage of this Data Cube
implementation is the generation of a single NetCDF product that contains Earth
Observation data of several data types (i.e., Landsat-8 and Sentinel-2). To
evaluate the effectiveness and efficiency of the Ocean-DC implementation, it is
examined a case study of an oil-spill in Saronic gulf in September of 2017. The
generated 4D Data Cube considers both Landsat-8,9 and Sentinel-2 products for a
time-series analysis, before, during, and after the oil-spill event. The
Ocean-DC framework successfully generated a NetCDF product, containing all the
necessary remote sensing products for monitoring the oil-spill disaster in the
Saronic gulf.
