Geo Engine provides data lineage by incorporating the processing workflow, data provenance, and a result descriptor [1]. In the result descriptor, we can find information

In many applications where raster data is used, it is necessary to do calculations on single-pixel values. For example, one often wants to convert or

If you visualize a lot of point data in a GIS, you very often have the problem that most of the data overlap. In the

Important features of Geo Engine are data interfaces, with which users can further use data sources or computations (workflows) in other programs or environments. We

Using our Python library, the Geo Engine can be integrated into Python projects and Jupyter notebooks. This results in a variety of possibilities. Available data

Here we show a short example of how to bring your own data into Geo Engine via upload. In this case we have a GeoPackage

Here we show a use case of Geo Engine to perform calculations on Earth observation time series and enrich point data with these results. In

Short Description Here, we present a short use case on how to use the Geo Engine to combine observation data with available remote sensing data.

One use case for the Geo Engine is the prediction of aircraft collisions with thunderstorm cells based on OpenSky and radar data.

The Eumetsat Digital Teaching Tool is based on Geo Engine technology and helps data scientists learn the ins and outs of Sentinel satellite data.