Discovering, collocating and analysing an heterogeneous dataset can be tedious and might be a barrier for many potential users who want to exploit EO data as a wide variety of expertise skills are required to access low level data and prepare them before analysis is even possible. Online data visualisation websites, such as the OVL-NG / S3view Syntool portals demonstrated on Tuesday evening, have enabled users to explore different satellite, in-situ and model data very easily. A complementary tool named SEAScope is being developed to provide additional features that enable users to analyse various pre-processed data as well as their own.


SEAScope is a free standalone application available on Windows, Linux and macOS for
visualising and analysing EO data (download link: https://seascope.oceandatalab.com). It collocates in time and space all data available in your directory and render them on a 3D globe. You can also tweak rendering settings on the fly, extract data over an area or a transect and communicate with external applications such as a Jupyter notebooks. This enables you to extract data on a shared grid, analyse them and import back the results into SEAScope to visualise them along with the input data. It can even be controlled remotely!

Come try it out and see how we use SEAScope together with Jupyter notebooks to
study the synergy between satellite, model and in-situ data (and create nice
animations)!

Discussions and feedback are more than welcome and will drive the future
evolutions of SEAScope, so don't hesitate to come and talk with us!