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.