The Copernicus program will produce a sizable stream of remote sensor data, which when combined with ground sensor systems provides a fertile soil to explain the past and predict the future of Planet Earth’s health. The sheer size and data complexity calls for innovative technology to provide efficient and effective data exploration. We present a DataScope for Satellite data, a framework geared at interactive derivation of knowledge from various remote sensing data sources. It can handle their voluminous data sizes and geo-distribution. Moreover, it simplifies the task for the data scientist who wants to adapt his search parameters to steer his scientific quest. At the same time being able to browse the data stored in the Cloud, to execute complex algorithms, and correlate it with data store data different location