We introduce a concept that we call a Scientific Platform as a Service (SPaaS) to aid the management and synergistic use of EO data within the Nansen Group. We present a prototype implementation of the SPaaS (the Nansen-Cloud), which handles data from satellite remote sensing but also in-situ and model data. The Nansen-Cloud can be understood as a system providing the integration of scientific tools, algorithms, data stored at various locations, and various data catalogs, via an application programming interface (API). This should allow users to work on their local desktops, using local CPU with integration to cloud systems to analyze the EO data. In this manner, the SPaaS helps users to focus on the scientific research without bothering where the data is stored or its format, nor the maintenance of the infrastructure or the software.